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.
Technical Information Security Manager - Global Data Organisation - London Our global data client require an experienced Technical Information Security Manager to join their team. The Technical Information Security Manager will hold a pivotal role in fortifying information assets against potential threats and vulnerabilities. Responsibilities will span various facets of information security, encompassing the vigilant monitoring of operations and infrastructure, upkeep of security tools and technologies, and ensuring compliance with internal policies and external regulations. Collaboration with different departments will be integral to mitigate risks effectively. This position is ideal for someone with ambition, offering the chance to shape the role according to their vision, expand its scope, and even build a dedicated team. Experience: 3+ years of experience in information security management or a related field Proficiency in maintaining and utilizing security tools and technologies, including the ability to create automated queries using tooling APIs. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments. Strong analytical and problem-solving skills, with the ability to assess and mitigate security risks. Proven track record of implementing new technologies to enhance security capabilities. Certified Information Systems Security Professional (CISSP) or similar certification preferred. If interested, please apply immediately for further details & a confidential discussion.
03/05/2024
Full time
Technical Information Security Manager - Global Data Organisation - London Our global data client require an experienced Technical Information Security Manager to join their team. The Technical Information Security Manager will hold a pivotal role in fortifying information assets against potential threats and vulnerabilities. Responsibilities will span various facets of information security, encompassing the vigilant monitoring of operations and infrastructure, upkeep of security tools and technologies, and ensuring compliance with internal policies and external regulations. Collaboration with different departments will be integral to mitigate risks effectively. This position is ideal for someone with ambition, offering the chance to shape the role according to their vision, expand its scope, and even build a dedicated team. Experience: 3+ years of experience in information security management or a related field Proficiency in maintaining and utilizing security tools and technologies, including the ability to create automated queries using tooling APIs. Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments. Strong analytical and problem-solving skills, with the ability to assess and mitigate security risks. Proven track record of implementing new technologies to enhance security capabilities. Certified Information Systems Security Professional (CISSP) or similar certification preferred. If interested, please apply immediately for further details & a confidential discussion.
*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.
Role: Security Analyst/Consultant Location: Hursley - on-site 5 days per week Duration: 6 months Day rate: £605 per day inside IR35 Active SC clearance required Role Description: Our client is looking for a generic security consultant, who can write what used to be called RMADS, appraise systems security to a government data standard and recommend against a sensible risk profile. They will also need to attend cross programme meetings as the project security lead and ensure the end-to-end risk profile doesn't impact on our component.
03/05/2024
Project-based
Role: Security Analyst/Consultant Location: Hursley - on-site 5 days per week Duration: 6 months Day rate: £605 per day inside IR35 Active SC clearance required Role Description: Our client is looking for a generic security consultant, who can write what used to be called RMADS, appraise systems security to a government data standard and recommend against a sensible risk profile. They will also need to attend cross programme meetings as the project security lead and ensure the end-to-end risk profile doesn't impact on our component.
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: WAF Engineer: DevOps Automation (F5 Focused) Location: Hybrid - 2 days onsite in Sheffield Duration: Until 30/11/24 Role 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
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: WAF Engineer: DevOps Automation (F5 Focused) Location: Hybrid - 2 days onsite in Sheffield Duration: Until 30/11/24 Role 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.
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
Database Administrator - SQL, Oracle, Azure Synapse Database Administrator required to join a leading London Market Insurer undergoing a major period of technological advancement. 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 play a key part in achieving greater operational efficiency across a large estate. Successful candidates will have worked across on-prem Microsoft and Oracle environments, along with exposure to cloud-based services. You'll be a strong communicator fostering strong relationships with the organisation's data providers. This is a great opportunity 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 Support a large multi-platform environment across SQL, Oracle and Synapse Ensure database security and governance standards are met and maintained to a high level Maintain integrations with group-wide applications Carry out regular performance measures for operational efficiency 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 Database Administrator - SQL, Oracle, Azure Synapse
03/05/2024
Full time
Database Administrator - SQL, Oracle, Azure Synapse Database Administrator required to join a leading London Market Insurer undergoing a major period of technological advancement. 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 play a key part in achieving greater operational efficiency across a large estate. Successful candidates will have worked across on-prem Microsoft and Oracle environments, along with exposure to cloud-based services. You'll be a strong communicator fostering strong relationships with the organisation's data providers. This is a great opportunity 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 Support a large multi-platform environment across SQL, Oracle and Synapse Ensure database security and governance standards are met and maintained to a high level Maintain integrations with group-wide applications Carry out regular performance measures for operational efficiency 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 Database Administrator - SQL, Oracle, Azure Synapse
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
We are recruiting for an SC Cleared IT Engineer for our client based in East London on contract who are a global IT Service Provider. Windows 7,10 and 11 Experience required. SC Clearance required - only apply if you hold valid, current SC. Ability to quickly learn and support basic Desktop & Laptop hardware and software in W7/W10/W11 environment. Good MS Office products experience - Outlook 2007/2010 and Office 365. Experience of using IPAD, Android and other mobile devices. To be able to floor walk and deal with any technical quires. Able to navigate around the OS, to find and recreate desktop shortcuts. Able to add printers and map network connections. To follow scripts to build and configure laptops and desktops. To perform moves and changes and set up workstations. Mac skill desirable. Able to work in a Tech Bar environment so Excellent customer service required.
03/05/2024
Project-based
We are recruiting for an SC Cleared IT Engineer for our client based in East London on contract who are a global IT Service Provider. Windows 7,10 and 11 Experience required. SC Clearance required - only apply if you hold valid, current SC. Ability to quickly learn and support basic Desktop & Laptop hardware and software in W7/W10/W11 environment. Good MS Office products experience - Outlook 2007/2010 and Office 365. Experience of using IPAD, Android and other mobile devices. To be able to floor walk and deal with any technical quires. Able to navigate around the OS, to find and recreate desktop shortcuts. Able to add printers and map network connections. To follow scripts to build and configure laptops and desktops. To perform moves and changes and set up workstations. Mac skill desirable. Able to work in a Tech Bar environment so Excellent customer service required.
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!