Subject: Cloud Consultant/Architect - On-Site - Gloucestershire/Bristol - £65 to £95K - AWS - IaaS - PaaS - Kubernetes - Automation Job Title: Cloud Technical Consultant/Architect Location: Gloucestershire/Bristol Salary: £65 - £95K Per Annum Benefits: Bonus, flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: This is a fantastic opportunity for someone who has big ambitions and an outstanding ability to create strong relationships - or for a dynamic & seasoned Technologist who is looking for new & exciting opportunities to make a difference. Your focus will be to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements. If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you. The Role: This is a brand new opportunity for a bright, driven, customer focussed professional to join our clients Cloud Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support them to exploit maximum business benefit from Cloud solutions, leveraging best in class internal and Partner technologies to create relevant and engaging experiences. Duties: Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation. Cloud engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code. Provide technical challenge and assurance throughout development and delivery of work. Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership. Work independently and/or within a team using a DevOps way of working. Required Technical skills & experience: Experienced in Cloud native technologies in AWS. Experienced in deploying IaaS/PaaS in Multi Cloud Environments. Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates. Experienced in being able to act as bridge from the infrastructure through to user facing systems. Desirable Technical Skills & Experience: Experienced in Kubernetes Containers. Experienced in the use of Automation tools eg Terraform, Ansible, Foreman, Puppet and Python. Experienced in different flavours of Linux platform and services. To apply for this Cloud Consultant/Architect permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
06/05/2024
Full time
Subject: Cloud Consultant/Architect - On-Site - Gloucestershire/Bristol - £65 to £95K - AWS - IaaS - PaaS - Kubernetes - Automation Job Title: Cloud Technical Consultant/Architect Location: Gloucestershire/Bristol Salary: £65 - £95K Per Annum Benefits: Bonus, flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: This is a fantastic opportunity for someone who has big ambitions and an outstanding ability to create strong relationships - or for a dynamic & seasoned Technologist who is looking for new & exciting opportunities to make a difference. Your focus will be to provide clients with the optimal consultative service and experience, resulting in business outcomes that meeting core client values and business requirements. If you are looking for challenges in a fast paced, thriving, international work environment, then we definitely want to hear from you. The Role: This is a brand new opportunity for a bright, driven, customer focussed professional to join our clients Cloud Delivery' team, and work alongside our Enterprise Cloud specialists to drive forward the design, deployment & operations of Cloud Infrastructure, Automation and Containerisation projects for the end-client. The delivery team help deliver valued clients the most effective Cloud solution to suit the organisational requirements of dynamic and fast-paced business. They support them to exploit maximum business benefit from Cloud solutions, leveraging best in class internal and Partner technologies to create relevant and engaging experiences. Duties: Support the design and development of new capabilities, preparing solution options, investigating technology, designing and running proof of concepts, providing assessments, advice and solution options, providing high level and low level design documentation. Cloud engineering capability to leverage Public Cloud platform using automated build processes deployed using Infrastructure as Code. Provide technical challenge and assurance throughout development and delivery of work. Develop re-useable common solutions and patterns to reduce development lead times, improve commonality and lowering Total Cost of Ownership. Work independently and/or within a team using a DevOps way of working. Required Technical skills & experience: Experienced in Cloud native technologies in AWS. Experienced in deploying IaaS/PaaS in Multi Cloud Environments. Experienced in Cloud and Infrastructure Engineering building and testing new capabilities, and supporting the development of new solutions and common templates. Experienced in being able to act as bridge from the infrastructure through to user facing systems. Desirable Technical Skills & Experience: Experienced in Kubernetes Containers. Experienced in the use of Automation tools eg Terraform, Ansible, Foreman, Puppet and Python. Experienced in different flavours of Linux platform and services. To apply for this Cloud Consultant/Architect permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Data DevOps Engineer - DevOps, Big data - Permanent - Gloucestershire Location: Gloucestershire/Bristol (full-time onsite) Salary: £65 - £95K per annum Negotiable DOE Benefits: Flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: We are looking for a bright, driven, customer focussed professional to join our clients Hybrid Cloud Delivery team, and work alongside Enterprise Data Engineering Consultants to accelerate and drive data engineering opportunities. This is a fantastic opportunity for a dynamic individual with big ambitions, who is an established technologist with both outstanding technical ability and consultative mindset. This would suit an open-minded personable self-starter who relishes the fluidity and collaborative nature of consultancy. The Role: This role sits on our clients Advisory and Professional Services delivery team, who provide thought-leadership, industry know-how and technical excellence to consultative engagements. Helping customers to reap maximum business benefit from their technical investments, leveraging best in class Vender & Partner technologies to create relevant and effective business-valued technical solutions. The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems. Duties: Participating in the full life cycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader Assisting with solution improvement activities driven either by the project or service Essential Requirements: Excellent knowledge of Linux operating system administration and implementation Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc. Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies eg NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages Desirable Requirements: Jupyter Hub Awareness Minio or similar S3 storage technology Trino/Presto RabbitMQ or other common queue technology eg ActiveMQ NiFi Rego Familiarity with code development, Shell-Scripting in Python, Bash etc. To apply for this Data DevOps Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
06/05/2024
Full time
Data DevOps Engineer - DevOps, Big data - Permanent - Gloucestershire Location: Gloucestershire/Bristol (full-time onsite) Salary: £65 - £95K per annum Negotiable DOE Benefits: Flexible working hours, career opportunities, private medical, excellent pension, and social benefits Active DV Clearance is highly desirable. Please note that candidates will need to be eligible to undergo DV Clearance. The Client: Curo are collaborating with a global edge-to-cloud company advancing the way people live and work. They help companies connect, protect, analyse, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. The Candidate: We are looking for a bright, driven, customer focussed professional to join our clients Hybrid Cloud Delivery team, and work alongside Enterprise Data Engineering Consultants to accelerate and drive data engineering opportunities. This is a fantastic opportunity for a dynamic individual with big ambitions, who is an established technologist with both outstanding technical ability and consultative mindset. This would suit an open-minded personable self-starter who relishes the fluidity and collaborative nature of consultancy. The Role: This role sits on our clients Advisory and Professional Services delivery team, who provide thought-leadership, industry know-how and technical excellence to consultative engagements. Helping customers to reap maximum business benefit from their technical investments, leveraging best in class Vender & Partner technologies to create relevant and effective business-valued technical solutions. The Data DevOps Engineer role is all about the detailed development and implementation of scalable clustered Big Data solutions, with a specific focus on automated dynamic scaling, self-healing systems. Duties: Participating in the full life cycle of data solution development, from requirements engineering through to continuous optimisation engineering and all the typical activities in between Providing technical thought-leadership and advisory on technologies and processes at the core of the data domain, as well as data domain adjacent technologies Engaging and collaborating with both internal and external teams and be a confident participant as well as a leader Assisting with solution improvement activities driven either by the project or service Essential Requirements: Excellent knowledge of Linux operating system administration and implementation Broad understanding of the containerisation domain adjacent technologies/services, such as: Docker, OpenShift, Kubernetes etc. Infrastructure as Code and CI/CD paradigms and systems such as: Ansible, Terraform, Jenkins, Bamboo, Concourse etc. Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies eg NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages Desirable Requirements: Jupyter Hub Awareness Minio or similar S3 storage technology Trino/Presto RabbitMQ or other common queue technology eg ActiveMQ NiFi Rego Familiarity with code development, Shell-Scripting in Python, Bash etc. To apply for this Data DevOps Engineer permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
4th Line engineer - Azure, M365, AVD - Office Based - £50,000 - £65,000 WHY? Be a big player in a small pond. The chance to be involved in multiple tech streams. Chance to get involved in projects. Certification training/progression Technologies: Microsoft tech Office365/Microsoft365 Azure AVD Responsibilities: Troubleshoot and resolve complex technical issues. Work across all manner of Microsoft enterprise services providing support (Windows Server, AD, SQL, DNS etc). Work across the full Microsoft 365 stack supporting customers. Collaborate with internal teams to define and implement enhancements, meeting client requirements and specifications. Provide technical expertise and guidance to customers and colleagues. Continuously monitor and maintain environments to ensure high availability and optimal performance. Please do reach out to me (see below) 4th Line engineer - Azure, M365, AVD - Office Based - £50,000 - £65,000
06/05/2024
Full time
4th Line engineer - Azure, M365, AVD - Office Based - £50,000 - £65,000 WHY? Be a big player in a small pond. The chance to be involved in multiple tech streams. Chance to get involved in projects. Certification training/progression Technologies: Microsoft tech Office365/Microsoft365 Azure AVD Responsibilities: Troubleshoot and resolve complex technical issues. Work across all manner of Microsoft enterprise services providing support (Windows Server, AD, SQL, DNS etc). Work across the full Microsoft 365 stack supporting customers. Collaborate with internal teams to define and implement enhancements, meeting client requirements and specifications. Provide technical expertise and guidance to customers and colleagues. Continuously monitor and maintain environments to ensure high availability and optimal performance. Please do reach out to me (see below) 4th Line engineer - Azure, M365, AVD - Office Based - £50,000 - £65,000
Venesky-Brown's client, a public sector organisation in Edinburgh, is currently looking to recruit an IT Support Officer for an initial 23 month contract on a rate of £155.97/day Outside IR35. This role will be primarily office-based, with a flexible option to have working from home days (up to a maximum of two per week). Responsibilities: - Be responsible for setting up requisite IT accounts for new colleagues - On behalf of the Assistant Head: IT Support, maintain the relevant sections of the organisation's IT Asset Register - Support the provision of hardware to colleagues, to ensure they can effectively undertake their role - Support the installation of software, providing, where applicable, instructions for users on using that software - Where applicable, develop manuals, tutorials, and processes and procedures to guide and support colleagues using a newly developed software package - Troubleshoot IT issues with staff members - Oversee all iFix submissions pertaining to IT related issues - Provide a record of any support (iFix) calls and the end-to- end approach to issue resolution - Arrange, where applicable, for the repairing of hardware - Create and maintain an adequate supply of IT-related stock, and any other equipment necessary for the functioning of their systems - Act as a point of contact with internal and external stakeholders, on the performance, management and disposal of the organisation's hardware and software - Be responsible for ensuring all aspects of the organisation's hardware and software conforms with the organisations and external bodies respective policies on IT. Essential Skills: - Demonstrable experience of supplying first- and second- line support in the workplace - High levels of oral and written communication skills, with the ability to confidently present and engage in a range of internal and external settings - The ability to gather evidence of non-technical users' technical issues to provide third party support services sufficient information to solve issues - Experience of working in a high performing, fast-paced, dynamic, multi-disciplinary environment - Proven ability to work under pressure, plan, prioritise, manage competing demands and meet tight deadlines - Good interpersonal skills and ability to work with a wide range of internal and external stakeholders - IT Literate, with strong knowledge in MS 365, including Microsoft Word, Excel and Outlook - Meticulous attention to detail If you would like to hear more about this opportunity please get in touch.
06/05/2024
Project-based
Venesky-Brown's client, a public sector organisation in Edinburgh, is currently looking to recruit an IT Support Officer for an initial 23 month contract on a rate of £155.97/day Outside IR35. This role will be primarily office-based, with a flexible option to have working from home days (up to a maximum of two per week). Responsibilities: - Be responsible for setting up requisite IT accounts for new colleagues - On behalf of the Assistant Head: IT Support, maintain the relevant sections of the organisation's IT Asset Register - Support the provision of hardware to colleagues, to ensure they can effectively undertake their role - Support the installation of software, providing, where applicable, instructions for users on using that software - Where applicable, develop manuals, tutorials, and processes and procedures to guide and support colleagues using a newly developed software package - Troubleshoot IT issues with staff members - Oversee all iFix submissions pertaining to IT related issues - Provide a record of any support (iFix) calls and the end-to- end approach to issue resolution - Arrange, where applicable, for the repairing of hardware - Create and maintain an adequate supply of IT-related stock, and any other equipment necessary for the functioning of their systems - Act as a point of contact with internal and external stakeholders, on the performance, management and disposal of the organisation's hardware and software - Be responsible for ensuring all aspects of the organisation's hardware and software conforms with the organisations and external bodies respective policies on IT. Essential Skills: - Demonstrable experience of supplying first- and second- line support in the workplace - High levels of oral and written communication skills, with the ability to confidently present and engage in a range of internal and external settings - The ability to gather evidence of non-technical users' technical issues to provide third party support services sufficient information to solve issues - Experience of working in a high performing, fast-paced, dynamic, multi-disciplinary environment - Proven ability to work under pressure, plan, prioritise, manage competing demands and meet tight deadlines - Good interpersonal skills and ability to work with a wide range of internal and external stakeholders - IT Literate, with strong knowledge in MS 365, including Microsoft Word, Excel and Outlook - Meticulous attention to detail If you would like to hear more about this opportunity please get in touch.
Overview The role of Application Engineer is to develop engineering solutions using company products or board sets to meet customer needs. The role involves all aspects of engineering projects including assessing customer requirements, developing customer hardware and software solutions, supporting customers, and writing technical documentation. The role requires in-depth understanding of the functionality and use of the company's products and board sets and how to adapt them for new applications. It requires international travel. Duties and responsibilities Investigate requests for the development of solutions to meet customer applications, originating from customers or internally from Product Management. Undertake investigative / feasibility work to develop solutions. Plan and cost projects; provide information to Sales for quotation. Develop application solutions through developing new hardware and software, configuring products, and integrating 3rd party products. Test and maintain hardware and software, including release process, version control, and bug management. Write and maintain documentation for designs to describe functionality, use and reasons for design decisions. Perform acceptance testing of application solutions to verify correct operation, prior to release to the market. Resolve any issues found before providing to customers. Manage projects and work as a team member on projects; plan, track and manage development tasks. Work to deadlines and adapt plans as necessary to meet project objectives. Work collaboratively with people inside and outside the company, and coordinate other departments involved (such as R&D) to successfully achieve outcomes and results. Use company procedures, processes, and consistent styles. Write, issue and update hardware and software documentation; adhere to coding standards when developing software. Maintain traceability, update documentation, use version control for all document changes. Provide expert help for the Support team to help address customer problems with the use of solutions developed by Application Engineering. Capture and communicate ideas and technical information on solutions, their performance and application, verbally and in written technical documentation, and provide internally (Marketing, Sales) and externally to customers and Representatives. Write technical articles and application notes for customers and for publication. Support promotion of company application engineering capability at industry exhibitions. Manage customer relationship for application engineering projects: Build and maintain a strong working relationship with the customer to understand their needs and communicate that within the company. Experience: Embedded Firmware Development : Can develop real-time embedded firmware in C/C++ covering the full design life cycle; Has working experience with firmware release process, version control, and bug management. Hardware Development: Working experience with schematic capture, building and debugging circuits; Can use standard electronics principles to prove robustness of designs. Electronics Knowledge: Good design knowledge of digital and analogue electronics, and software design using C/C++. Project Management: Able to demonstrate successful outcomes on working on a project either autonomously or as part of a larger team; Experience working within an agile, continuous delivery environment. Procedures and Processes : Appreciates the benefits of working to defined processes; Prior contact using systems for software version control, issue tracking, planning would be a benefit, with an emphasis on using these tools to collaborate in a smooth fashion. Tools and Technologies: Able to specify, install, use and maintain tools and technologies (e.g. development environments) needed for software development. Education: Minimum of a 2:1 degree in a relevant field (for example, but not limited to, mechatronics, electronics, AI, robotics). This would ideally suit someone looking to move into their second job, but graduates would be considered. Please note: Only candidates with the relevant skills and experience will be contacted regarding this position. If you do not hear back from us within 5 days you have unfortunately been unsuccessful in your application for this position, however we may contact you in the future to discuss other opportunities. Please note: That no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
04/05/2024
Full time
Overview The role of Application Engineer is to develop engineering solutions using company products or board sets to meet customer needs. The role involves all aspects of engineering projects including assessing customer requirements, developing customer hardware and software solutions, supporting customers, and writing technical documentation. The role requires in-depth understanding of the functionality and use of the company's products and board sets and how to adapt them for new applications. It requires international travel. Duties and responsibilities Investigate requests for the development of solutions to meet customer applications, originating from customers or internally from Product Management. Undertake investigative / feasibility work to develop solutions. Plan and cost projects; provide information to Sales for quotation. Develop application solutions through developing new hardware and software, configuring products, and integrating 3rd party products. Test and maintain hardware and software, including release process, version control, and bug management. Write and maintain documentation for designs to describe functionality, use and reasons for design decisions. Perform acceptance testing of application solutions to verify correct operation, prior to release to the market. Resolve any issues found before providing to customers. Manage projects and work as a team member on projects; plan, track and manage development tasks. Work to deadlines and adapt plans as necessary to meet project objectives. Work collaboratively with people inside and outside the company, and coordinate other departments involved (such as R&D) to successfully achieve outcomes and results. Use company procedures, processes, and consistent styles. Write, issue and update hardware and software documentation; adhere to coding standards when developing software. Maintain traceability, update documentation, use version control for all document changes. Provide expert help for the Support team to help address customer problems with the use of solutions developed by Application Engineering. Capture and communicate ideas and technical information on solutions, their performance and application, verbally and in written technical documentation, and provide internally (Marketing, Sales) and externally to customers and Representatives. Write technical articles and application notes for customers and for publication. Support promotion of company application engineering capability at industry exhibitions. Manage customer relationship for application engineering projects: Build and maintain a strong working relationship with the customer to understand their needs and communicate that within the company. Experience: Embedded Firmware Development : Can develop real-time embedded firmware in C/C++ covering the full design life cycle; Has working experience with firmware release process, version control, and bug management. Hardware Development: Working experience with schematic capture, building and debugging circuits; Can use standard electronics principles to prove robustness of designs. Electronics Knowledge: Good design knowledge of digital and analogue electronics, and software design using C/C++. Project Management: Able to demonstrate successful outcomes on working on a project either autonomously or as part of a larger team; Experience working within an agile, continuous delivery environment. Procedures and Processes : Appreciates the benefits of working to defined processes; Prior contact using systems for software version control, issue tracking, planning would be a benefit, with an emphasis on using these tools to collaborate in a smooth fashion. Tools and Technologies: Able to specify, install, use and maintain tools and technologies (e.g. development environments) needed for software development. Education: Minimum of a 2:1 degree in a relevant field (for example, but not limited to, mechatronics, electronics, AI, robotics). This would ideally suit someone looking to move into their second job, but graduates would be considered. Please note: Only candidates with the relevant skills and experience will be contacted regarding this position. If you do not hear back from us within 5 days you have unfortunately been unsuccessful in your application for this position, however we may contact you in the future to discuss other opportunities. Please note: That no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office This role is a hybrid position and can be based in either their Dorking (Surrey) or Basingstoke (Hampshire) offices with the expectation of being in the office 4 - 6 times per month. The overall package is worth around £80-85k. A leading financial services company are recruiting for a Senior Infrastructure Engineer to take a lead position within their infrastructure team: - with a requirement to be a senior technical engineer and lead by example. - a core element of this role is having the ability to affect technical change in their environment. - this can be as simple as leading new migrations, implementing new software or leading the support of their new Azure Cloud environment. - but you need to have the ability to articulate this and demonstrate what you have done and bring to the table. An understanding or appreciation of Azure and DevOps, is an advantage, but not essential as they are slowly moving their environment over to an infrastructure that supports Azure, although this will only be a small percentage of their estate and they have a hybrid on-prem/cloud (potentially around 20%) model. This is a great role working in a team where career progression is actively encouraged. Ideally you will possess core skills within Wintel/VMware technologies, have a DevOps appreciation and understanding, but this is definitely not a DevOps role. Any knowledge of Nutanix or the willingness to learn it as a new technology is well received and the ability to take on new technology and role with it is important. The primary day to day work for the Senior Infrastructure Engineer/Azure/DevOps focus will consist of: Individuals in the Senior Infrastructure Engineer position are responsible for designing system and infrastructure architectures spanning the whole range of hardware and software technologies in their designated field, using approved system engineering practices. They will develop and maintain the high-level design plan for the overall logical and technical IT architecture. They will provide technical leadership and consulting across the organisation, from strategic decision making to project level planning. They will gain organisational commitment for all high-level Infrastructure plans and initiate and participate in projects to evaluate technologies and methods for implementing these plans. They will work closely with decision makers throughout the organisation to identify, recommend, develop, implement, and support cost-effective information processing and communication technologies. They will benchmark, analyse, report on, and make recommendations for the improvement of the relevant IT Infrastructure and IT systems. They will apply proven analytical and problem-solving skills to help validate, verify, communicate, and resolve complex systems/software/networking/infrastructure applications and infrastructure issues. They are responsible for planning, designing and analysing the organisations operating system(s), storage management, agents/instrumentation, systems management, security, network, web administration, database management, automation, and application technical stacks. Additionally, this position may require working knowledge of multiple computing/networking platforms (including physical, virtual, and cloud,) while ensuring high levels of data quality and availability. They are also responsible for capacity planning, backup and restore process design, performance analysis, and developing data disaster recovery plans. Principal Duties and Responsibilities for the Senior Infrastructure Engineer/Azure/DevOps role: Designs, builds and deploys solutions across the relevant infrastructure technologies, including Humanas Azure tenant. Designs automation of infrastructure as a service and capabilities including virtual networks, virtual machines, cloud services, web sites, data services, IoT, etc. Leads technical deployments that involve multiple IT teams and stakeholders. Develops and enhances the orchestration and automation of cloud enablement tools. Designs a highly scalable and redundant physical or virtual infrastructure to support the companys future growth. Provides innovative suggestions for complex implementation solutions. Creates documentation and implementation plans to allow support teams to build and manage the relevant environment. Develops and manages an infrastructure capacity plan. Required Skillset for the Senior Infrastructure Engineer/Azure/DevOps focus position: Possess significantly developed hands-on technical expertise in multiple key operating systems or subsystem areas. Have some experience in creating as well as using Scripting and other tools to automate routine tasks - Ability to automate manual tasks using Scripting languages (eg Shell, python, Perl, bash). Drive resolution of technical problems in a methodical and professional manner. Effectively summarise and clearly communicate software/hardware problems involving multiple support teams. Some Azure/Cloud exposure, with a DevOps understanding. Demonstrable related work experience (Wintel, VMWare) any experience with Nutanix Converged technologies, including Nutanix Acropolis Hypervisor or AHV. Windows OS Configuring & troubleshooting 2016, 2019 and 2022 (nice to have). VMware Virtualisation 6.5+. AD/DNS/GPO configuration. ITIL Framework grounding (Incident, Change, etc). Any Scripting knowledge is an advantage. Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office
03/05/2024
Full time
Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office This role is a hybrid position and can be based in either their Dorking (Surrey) or Basingstoke (Hampshire) offices with the expectation of being in the office 4 - 6 times per month. The overall package is worth around £80-85k. A leading financial services company are recruiting for a Senior Infrastructure Engineer to take a lead position within their infrastructure team: - with a requirement to be a senior technical engineer and lead by example. - a core element of this role is having the ability to affect technical change in their environment. - this can be as simple as leading new migrations, implementing new software or leading the support of their new Azure Cloud environment. - but you need to have the ability to articulate this and demonstrate what you have done and bring to the table. An understanding or appreciation of Azure and DevOps, is an advantage, but not essential as they are slowly moving their environment over to an infrastructure that supports Azure, although this will only be a small percentage of their estate and they have a hybrid on-prem/cloud (potentially around 20%) model. This is a great role working in a team where career progression is actively encouraged. Ideally you will possess core skills within Wintel/VMware technologies, have a DevOps appreciation and understanding, but this is definitely not a DevOps role. Any knowledge of Nutanix or the willingness to learn it as a new technology is well received and the ability to take on new technology and role with it is important. The primary day to day work for the Senior Infrastructure Engineer/Azure/DevOps focus will consist of: Individuals in the Senior Infrastructure Engineer position are responsible for designing system and infrastructure architectures spanning the whole range of hardware and software technologies in their designated field, using approved system engineering practices. They will develop and maintain the high-level design plan for the overall logical and technical IT architecture. They will provide technical leadership and consulting across the organisation, from strategic decision making to project level planning. They will gain organisational commitment for all high-level Infrastructure plans and initiate and participate in projects to evaluate technologies and methods for implementing these plans. They will work closely with decision makers throughout the organisation to identify, recommend, develop, implement, and support cost-effective information processing and communication technologies. They will benchmark, analyse, report on, and make recommendations for the improvement of the relevant IT Infrastructure and IT systems. They will apply proven analytical and problem-solving skills to help validate, verify, communicate, and resolve complex systems/software/networking/infrastructure applications and infrastructure issues. They are responsible for planning, designing and analysing the organisations operating system(s), storage management, agents/instrumentation, systems management, security, network, web administration, database management, automation, and application technical stacks. Additionally, this position may require working knowledge of multiple computing/networking platforms (including physical, virtual, and cloud,) while ensuring high levels of data quality and availability. They are also responsible for capacity planning, backup and restore process design, performance analysis, and developing data disaster recovery plans. Principal Duties and Responsibilities for the Senior Infrastructure Engineer/Azure/DevOps role: Designs, builds and deploys solutions across the relevant infrastructure technologies, including Humanas Azure tenant. Designs automation of infrastructure as a service and capabilities including virtual networks, virtual machines, cloud services, web sites, data services, IoT, etc. Leads technical deployments that involve multiple IT teams and stakeholders. Develops and enhances the orchestration and automation of cloud enablement tools. Designs a highly scalable and redundant physical or virtual infrastructure to support the companys future growth. Provides innovative suggestions for complex implementation solutions. Creates documentation and implementation plans to allow support teams to build and manage the relevant environment. Develops and manages an infrastructure capacity plan. Required Skillset for the Senior Infrastructure Engineer/Azure/DevOps focus position: Possess significantly developed hands-on technical expertise in multiple key operating systems or subsystem areas. Have some experience in creating as well as using Scripting and other tools to automate routine tasks - Ability to automate manual tasks using Scripting languages (eg Shell, python, Perl, bash). Drive resolution of technical problems in a methodical and professional manner. Effectively summarise and clearly communicate software/hardware problems involving multiple support teams. Some Azure/Cloud exposure, with a DevOps understanding. Demonstrable related work experience (Wintel, VMWare) any experience with Nutanix Converged technologies, including Nutanix Acropolis Hypervisor or AHV. Windows OS Configuring & troubleshooting 2016, 2019 and 2022 (nice to have). VMware Virtualisation 6.5+. AD/DNS/GPO configuration. ITIL Framework grounding (Incident, Change, etc). Any Scripting knowledge is an advantage. Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
OLE Description: F5 WAF Engineer - in-depth knowledge of F5 BIG-IP and NGNIX+WAF(Not F5 Platform/network) As an Automation Engineer, you will play a pivotal role in enhancing our IT infrastructure by designing, creating, and maintaining bespoke Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored to specific project needs. This role will have an initial focus on leveraging F5 technologies alongside a broad spectrum of automation and DevOps practices to deliver our automation use cases; however once F5 automaton works have completed, works will progress to other WAF platforms and use cases. You will be responsible for the integration of CI/CD pipelines with solutions developed by other teams, Scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform and Ansible. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should not only have technical proficiency in data structures, automation technologies, API interactions, and cloud services, but also exhibit a strong drive to research, investigate, and collaborate effectively within the organization. Key Responsibilities Developing and Delivering Automation for F5 WAF Platform: In the first instance: Developing and delivering automation solutions specifically for our F5 Web Application Firewall (WAF) platform, aligned with our specific use cases. This involves Scripting, configuring, and deploying automation workflows that enhance security, manageability, and operational efficiency of the F5 WAF environment. CI/CD Pipeline Development: Create, enhance and implement new, customized CI/CD pipelines tailored for specific project use cases, ensuring efficient, automated workflows Pipeline Maintenance: Regularly update and maintain existing CI/CD pipelines to ensure they are efficient, secure, and up-to-date with the latest technology standards Integration of Solutions: Work collaboratively with other teams to integrate their solutions and tools into the CI/CD pipelines effectively, enhancing overall workflow and productivity. IaC Manifests Creation: Develop and maintain Infrastructure as Code (IaC) manifests, predominantly using Terraform, to manage and provision IT infrastructure in a consistent and repeatable manner Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the potential for human error. Collaboration and Communication: Collaborate with cross-functional teams, including software development, operations, and quality assurance, to ensure seamless integration and implementation of DevOps practices Proactive Research and Collaboration: Eager to research and utilize company resources like Confluence, find relevant contacts, and reach out to other teams for unknowns. Prepared to independently investigate and resolve challenges. Required F5 Experiences - One or more of these F5 ASM/AWAF Knowledge & Experience: Understanding and practical experience with F5's Application Security Manager (ASM) and Advanced WAF (AWAF), including configuration, management, and troubleshooting of application security policies and web application Firewalls. F5 with API Gateway: Experience: Integrating F5 solutions with API Gateway technologies, demonstrating the ability to secure and manage APIs effectively. Experience in using F5 with Kong API Gateway; managing, and optimizing API traffic through F5 systems. F5 GTM and Proxy Technologies: Knowledge and experience with F5's Global Traffic Manager (GTM) as well as experience with Proxy technologies, including forward and reverse proxies Basic Certificate Management: Knowledge of SSL/TLS certificate management processes, including issuance, renewal, and deployment, within F5 environments. F5 AS3: Experience; Experience with AS3 (Application Services 3 Extension), for declarative automation and orchestration of F5 BIG-IP services. Proficiency in automating the deployment and management of F5 configurations using AS3 Key Experience - Ideal Candidate Profile Technical Expertise in CI/CD Tools: Proficiency in Continuous Integration and Continuous Deployment tools such as Jenkins, CircleCI, Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. Proficiency in Scripting Languages: Strong skills in Scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC tools like Terraform, Ansible, Chef, or Puppet Data Structuring and Management: Advanced skills in managing data using formats like JSON, YAML, XML, and others. Capable of parsing, creating, and maintaining complex data structures for configuration and automation purposes. API Integration and Management: Expertise in querying, integrating, and managing APIs. Capable of constructing and executing API calls for data retrieval, updates, and inter-service communication. Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices in a DevOps environment. Familiarity with security scanning tools, implementing secure coding practices, and ensuring compliance with industry standards Agile and Scrum Methodologies: Experience with Agile and Scrum methodologies. Ability to work in fast-paced, iterative development environments and adapt to changing requirements Networking and Security Fundamentals: Knowledge of networking concepts (eg, TCP/IP, DNS, HTTP/S) and basic security concepts (eg, Firewalls, VPNs, IDS/IPS). Problem-Solving and Analytical Skills: Strong problem-solving skills and ability to analyze complex systems and workflows to propose effective automation solutions. Collaboration and Communication: Excellent collaboration and communication skills. Ability to work effectively in a team and communicate complex technical concepts to both technical and non-technical stakeholders. Project Management Skills: Basic project management skills with the ability to manage timelines, dependencies, and deliverables in a cross-functional environment. Research and Investigative Skills: Motivated to self-educate and explore company resources and external knowledge bases
03/05/2024
Project-based
OLE Description: F5 WAF Engineer - in-depth knowledge of F5 BIG-IP and NGNIX+WAF(Not F5 Platform/network) As an Automation Engineer, you will play a pivotal role in enhancing our IT infrastructure by designing, creating, and maintaining bespoke Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored to specific project needs. This role will have an initial focus on leveraging F5 technologies alongside a broad spectrum of automation and DevOps practices to deliver our automation use cases; however once F5 automaton works have completed, works will progress to other WAF platforms and use cases. You will be responsible for the integration of CI/CD pipelines with solutions developed by other teams, Scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform and Ansible. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should not only have technical proficiency in data structures, automation technologies, API interactions, and cloud services, but also exhibit a strong drive to research, investigate, and collaborate effectively within the organization. Key Responsibilities Developing and Delivering Automation for F5 WAF Platform: In the first instance: Developing and delivering automation solutions specifically for our F5 Web Application Firewall (WAF) platform, aligned with our specific use cases. This involves Scripting, configuring, and deploying automation workflows that enhance security, manageability, and operational efficiency of the F5 WAF environment. CI/CD Pipeline Development: Create, enhance and implement new, customized CI/CD pipelines tailored for specific project use cases, ensuring efficient, automated workflows Pipeline Maintenance: Regularly update and maintain existing CI/CD pipelines to ensure they are efficient, secure, and up-to-date with the latest technology standards Integration of Solutions: Work collaboratively with other teams to integrate their solutions and tools into the CI/CD pipelines effectively, enhancing overall workflow and productivity. IaC Manifests Creation: Develop and maintain Infrastructure as Code (IaC) manifests, predominantly using Terraform, to manage and provision IT infrastructure in a consistent and repeatable manner Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the potential for human error. Collaboration and Communication: Collaborate with cross-functional teams, including software development, operations, and quality assurance, to ensure seamless integration and implementation of DevOps practices Proactive Research and Collaboration: Eager to research and utilize company resources like Confluence, find relevant contacts, and reach out to other teams for unknowns. Prepared to independently investigate and resolve challenges. Required F5 Experiences - One or more of these F5 ASM/AWAF Knowledge & Experience: Understanding and practical experience with F5's Application Security Manager (ASM) and Advanced WAF (AWAF), including configuration, management, and troubleshooting of application security policies and web application Firewalls. F5 with API Gateway: Experience: Integrating F5 solutions with API Gateway technologies, demonstrating the ability to secure and manage APIs effectively. Experience in using F5 with Kong API Gateway; managing, and optimizing API traffic through F5 systems. F5 GTM and Proxy Technologies: Knowledge and experience with F5's Global Traffic Manager (GTM) as well as experience with Proxy technologies, including forward and reverse proxies Basic Certificate Management: Knowledge of SSL/TLS certificate management processes, including issuance, renewal, and deployment, within F5 environments. F5 AS3: Experience; Experience with AS3 (Application Services 3 Extension), for declarative automation and orchestration of F5 BIG-IP services. Proficiency in automating the deployment and management of F5 configurations using AS3 Key Experience - Ideal Candidate Profile Technical Expertise in CI/CD Tools: Proficiency in Continuous Integration and Continuous Deployment tools such as Jenkins, CircleCI, Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. Proficiency in Scripting Languages: Strong skills in Scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC tools like Terraform, Ansible, Chef, or Puppet Data Structuring and Management: Advanced skills in managing data using formats like JSON, YAML, XML, and others. Capable of parsing, creating, and maintaining complex data structures for configuration and automation purposes. API Integration and Management: Expertise in querying, integrating, and managing APIs. Capable of constructing and executing API calls for data retrieval, updates, and inter-service communication. Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices in a DevOps environment. Familiarity with security scanning tools, implementing secure coding practices, and ensuring compliance with industry standards Agile and Scrum Methodologies: Experience with Agile and Scrum methodologies. Ability to work in fast-paced, iterative development environments and adapt to changing requirements Networking and Security Fundamentals: Knowledge of networking concepts (eg, TCP/IP, DNS, HTTP/S) and basic security concepts (eg, Firewalls, VPNs, IDS/IPS). Problem-Solving and Analytical Skills: Strong problem-solving skills and ability to analyze complex systems and workflows to propose effective automation solutions. Collaboration and Communication: Excellent collaboration and communication skills. Ability to work effectively in a team and communicate complex technical concepts to both technical and non-technical stakeholders. Project Management Skills: Basic project management skills with the ability to manage timelines, dependencies, and deliverables in a cross-functional environment. Research and Investigative Skills: Motivated to self-educate and explore company resources and external knowledge bases
Principal DBA - SQL, Oracle, Azure Synapse We are looking for Principal Database Administrator to lead an enterprise team undergoing a period of significant growth. After a strong 2023, this insurance organisation is expanding their technical services teams across their multi-platform environment. Working across Microsoft SQL, Oracle DB and Azure Synapse, you will direct this support team, achieving greater operational efficiency across a large estate. The successful candidate will have worked across on-prem Microsoft and Oracle environments, along with exposure to cloud-based services. You'll be a strong communicator and mentor and be comfortable as a technical point of escalation within the database team. This is a great opportunity to lead a team in a very successful financial services company, without the people management responsibilities. You'll be excited by the chance to really scale up this organisation's estate, whilst consistently ensuring stability and security. Whilst insurance sector experience is preferred, experience from other financial services will be considered. Responsibilities Lead a team of Database Administrators as technical expert for enterprise environments Act as escalation point whilst mentoring and supporting team members Support a large multi-platform environment across SQL, Oracle and Synapse Maintain integrations with group-wide applications Work collaboratively with multiple internal departments Requirements Excellent ability in T-SQL, P/L SQL and Powershell Strong knowledge in MS SQL, SSRS, SSIS and SSAS Experience in 24/7 and on-call environments Certification in ITIL along with Microsoft and/or Oracle Awareness of Nutanix tooling, along with Dell DDBoost or Veeam is a bonus Principal DBA - SQL, Oracle, Azure Synapse
03/05/2024
Full time
Principal DBA - SQL, Oracle, Azure Synapse We are looking for Principal Database Administrator to lead an enterprise team undergoing a period of significant growth. After a strong 2023, this insurance organisation is expanding their technical services teams across their multi-platform environment. Working across Microsoft SQL, Oracle DB and Azure Synapse, you will direct this support team, achieving greater operational efficiency across a large estate. The successful candidate will have worked across on-prem Microsoft and Oracle environments, along with exposure to cloud-based services. You'll be a strong communicator and mentor and be comfortable as a technical point of escalation within the database team. This is a great opportunity to lead a team in a very successful financial services company, without the people management responsibilities. You'll be excited by the chance to really scale up this organisation's estate, whilst consistently ensuring stability and security. Whilst insurance sector experience is preferred, experience from other financial services will be considered. Responsibilities Lead a team of Database Administrators as technical expert for enterprise environments Act as escalation point whilst mentoring and supporting team members Support a large multi-platform environment across SQL, Oracle and Synapse Maintain integrations with group-wide applications Work collaboratively with multiple internal departments Requirements Excellent ability in T-SQL, P/L SQL and Powershell Strong knowledge in MS SQL, SSRS, SSIS and SSAS Experience in 24/7 and on-call environments Certification in ITIL along with Microsoft and/or Oracle Awareness of Nutanix tooling, along with Dell DDBoost or Veeam is a bonus Principal DBA - SQL, Oracle, Azure Synapse
2 x Dynamics 365 BC Technical Consultant - £70k - £80k + 10% bonus, private medical, life insurance, 25 days holiday (option to buy up to 5 additional days) and more - Fully remote with ad hoc travel to client site Do you feel undervalued? Do you feel you've got no room to grow? Are you bored in your current role? If any, or all, of these are you then this is the role for you! Working for a Microsoft Gold partner that has been recognised, and won multiple awards, for being a great place to work it is safe to say you will be joining a company that will value you and what you have to say from day 1. You will have the opportunity to work on some exciting projects using the latest tech alongside a team of experienced professionals who value collaboration and knowledge sharing. You will have a clear career path with objectives and goals to work towards, regular pay and promotion reviews and access to the latest learning materials. Why are you needed? This partner has been expanding and has recently won several large projects and as a result, needs an experienced D365BC Technical Consultant to take a key role in supporting the continued growth of the Business Central practice. You will work closely with customers and the team to define and deliver the best solutions using the latest versions of D365BC, other MS Cloud products and 3rd party applications. What will you be doing on a day-to-day? - Building, developing and delivering tailored Dynamics Business Central solutions to clients - Advising the team and customers on aspects of tech surrounding D365 BC from deployment through to sizing - Running integration workshops, documenting findings and proposed solutions, estimating work required - Writing development specifications and working closely with developers to see work through to completion What experience and skills do you need? - Significant experience in D365 BC/NAV Development or a similar role - Previous MS Partner experience is preferred or experience in client-facing roles - Previous experience working on integrations into websites, carriers, 3rd party software, etc - Clear and confident communicator, able to manage stakeholders at all levels - Strong analytical skills, having the ability to translate requirements into system designs - Excellent spoken and written English The role is fully remote, any ad hoc travel to the client's sites will be expensed. There are multiple roles available so if you know anyone else who may be interested we offer £250 referral vouchers If you feel that this is the role for you, apply! 2 x Dynamics 365BC Technical Consultant - £70k - £80k + 10% bonus, private medical, life insurance, 25 days holiday (option to buy up to 5 additional days) and more - Fully remote with ad hoc travel to client site
03/05/2024
Full time
2 x Dynamics 365 BC Technical Consultant - £70k - £80k + 10% bonus, private medical, life insurance, 25 days holiday (option to buy up to 5 additional days) and more - Fully remote with ad hoc travel to client site Do you feel undervalued? Do you feel you've got no room to grow? Are you bored in your current role? If any, or all, of these are you then this is the role for you! Working for a Microsoft Gold partner that has been recognised, and won multiple awards, for being a great place to work it is safe to say you will be joining a company that will value you and what you have to say from day 1. You will have the opportunity to work on some exciting projects using the latest tech alongside a team of experienced professionals who value collaboration and knowledge sharing. You will have a clear career path with objectives and goals to work towards, regular pay and promotion reviews and access to the latest learning materials. Why are you needed? This partner has been expanding and has recently won several large projects and as a result, needs an experienced D365BC Technical Consultant to take a key role in supporting the continued growth of the Business Central practice. You will work closely with customers and the team to define and deliver the best solutions using the latest versions of D365BC, other MS Cloud products and 3rd party applications. What will you be doing on a day-to-day? - Building, developing and delivering tailored Dynamics Business Central solutions to clients - Advising the team and customers on aspects of tech surrounding D365 BC from deployment through to sizing - Running integration workshops, documenting findings and proposed solutions, estimating work required - Writing development specifications and working closely with developers to see work through to completion What experience and skills do you need? - Significant experience in D365 BC/NAV Development or a similar role - Previous MS Partner experience is preferred or experience in client-facing roles - Previous experience working on integrations into websites, carriers, 3rd party software, etc - Clear and confident communicator, able to manage stakeholders at all levels - Strong analytical skills, having the ability to translate requirements into system designs - Excellent spoken and written English The role is fully remote, any ad hoc travel to the client's sites will be expensed. There are multiple roles available so if you know anyone else who may be interested we offer £250 referral vouchers If you feel that this is the role for you, apply! 2 x Dynamics 365BC Technical Consultant - £70k - £80k + 10% bonus, private medical, life insurance, 25 days holiday (option to buy up to 5 additional days) and more - Fully remote with ad hoc travel to client site
Endeavour Recruitment has an excellent permanent position for a Systems Administrator to join a dynamic team based in Winchester. Work environment: To work as a member of the IT Services team, working with and reporting to the Head and Assistant Head of IT Services to analyse, design, implement, maintain, and support IT infrastructure. The environment has an extensive wired and wireless network covering many buildings, consisting of more than 3000 PCs, laptops, Chromebooks and 120 Servers. PCs all run Windows, whilst the Servers run a mixture of VMware, Microsoft Server, and Linux OSs. Responsibilities: Analyse, design, implement, maintain, and support the IT infrastructure - including: Desktop and server applications Desktop and server endpoint security systems Desktop and server OS Deployment of desktops, physical and virtual Servers Network services, Firewall, Switches, wireless and network access control. Network storage and backup. Cloud services System and network analysis, vulnerability scanning, health monitoring and logging services. To act as higher-tier support to the team of IT Technicians, however excellent customer service skills are required as you will be supporting internal and external members. Work with the Head of IT Services to develop IT systems, policies, and good practice. Keep abreast of IT trends, and how they will impact the environment. Ensuring that tasks above are well documented and filed. Producing training materials for users as required. Be willing and able to carry out all the tasks expected of the IT technicians. Conforming to legal requirements, eg Data Protection Act, Abuse of Computers Act, and software licensing agreements, and encouraging other users to do the same. Undertaking training as required. Prioritising the safeguarding and participating in training on safeguarding matters. Contributing to the elimination of unlawful discrimination, harassment, and victimisation; advancing equality of opportunity and fostering good relations between people who share a protected characteristic and those who do not. Any other duties that may be reasonably required. Are you looking for a fun, varied role to grow within a great team? Please get in touch for further details!
03/05/2024
Full time
Endeavour Recruitment has an excellent permanent position for a Systems Administrator to join a dynamic team based in Winchester. Work environment: To work as a member of the IT Services team, working with and reporting to the Head and Assistant Head of IT Services to analyse, design, implement, maintain, and support IT infrastructure. The environment has an extensive wired and wireless network covering many buildings, consisting of more than 3000 PCs, laptops, Chromebooks and 120 Servers. PCs all run Windows, whilst the Servers run a mixture of VMware, Microsoft Server, and Linux OSs. Responsibilities: Analyse, design, implement, maintain, and support the IT infrastructure - including: Desktop and server applications Desktop and server endpoint security systems Desktop and server OS Deployment of desktops, physical and virtual Servers Network services, Firewall, Switches, wireless and network access control. Network storage and backup. Cloud services System and network analysis, vulnerability scanning, health monitoring and logging services. To act as higher-tier support to the team of IT Technicians, however excellent customer service skills are required as you will be supporting internal and external members. Work with the Head of IT Services to develop IT systems, policies, and good practice. Keep abreast of IT trends, and how they will impact the environment. Ensuring that tasks above are well documented and filed. Producing training materials for users as required. Be willing and able to carry out all the tasks expected of the IT technicians. Conforming to legal requirements, eg Data Protection Act, Abuse of Computers Act, and software licensing agreements, and encouraging other users to do the same. Undertaking training as required. Prioritising the safeguarding and participating in training on safeguarding matters. Contributing to the elimination of unlawful discrimination, harassment, and victimisation; advancing equality of opportunity and fostering good relations between people who share a protected characteristic and those who do not. Any other duties that may be reasonably required. Are you looking for a fun, varied role to grow within a great team? Please get in touch for further details!