NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
04/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office This role is a hybrid position and can be based in either their Dorking (Surrey) or Basingstoke (Hampshire) offices with the expectation of being in the office 4 - 6 times per month. The overall package is worth around £80-85k. A leading financial services company are recruiting for a Senior Infrastructure Engineer to take a lead position within their infrastructure team: - with a requirement to be a senior technical engineer and lead by example. - a core element of this role is having the ability to affect technical change in their environment. - this can be as simple as leading new migrations, implementing new software or leading the support of their new Azure Cloud environment. - but you need to have the ability to articulate this and demonstrate what you have done and bring to the table. An understanding or appreciation of Azure and DevOps, is an advantage, but not essential as they are slowly moving their environment over to an infrastructure that supports Azure, although this will only be a small percentage of their estate and they have a hybrid on-prem/cloud (potentially around 20%) model. This is a great role working in a team where career progression is actively encouraged. Ideally you will possess core skills within Wintel/VMware technologies, have a DevOps appreciation and understanding, but this is definitely not a DevOps role. Any knowledge of Nutanix or the willingness to learn it as a new technology is well received and the ability to take on new technology and role with it is important. The primary day to day work for the Senior Infrastructure Engineer/Azure/DevOps focus will consist of: Individuals in the Senior Infrastructure Engineer position are responsible for designing system and infrastructure architectures spanning the whole range of hardware and software technologies in their designated field, using approved system engineering practices. They will develop and maintain the high-level design plan for the overall logical and technical IT architecture. They will provide technical leadership and consulting across the organisation, from strategic decision making to project level planning. They will gain organisational commitment for all high-level Infrastructure plans and initiate and participate in projects to evaluate technologies and methods for implementing these plans. They will work closely with decision makers throughout the organisation to identify, recommend, develop, implement, and support cost-effective information processing and communication technologies. They will benchmark, analyse, report on, and make recommendations for the improvement of the relevant IT Infrastructure and IT systems. They will apply proven analytical and problem-solving skills to help validate, verify, communicate, and resolve complex systems/software/networking/infrastructure applications and infrastructure issues. They are responsible for planning, designing and analysing the organisations operating system(s), storage management, agents/instrumentation, systems management, security, network, web administration, database management, automation, and application technical stacks. Additionally, this position may require working knowledge of multiple computing/networking platforms (including physical, virtual, and cloud,) while ensuring high levels of data quality and availability. They are also responsible for capacity planning, backup and restore process design, performance analysis, and developing data disaster recovery plans. Principal Duties and Responsibilities for the Senior Infrastructure Engineer/Azure/DevOps role: Designs, builds and deploys solutions across the relevant infrastructure technologies, including Humanas Azure tenant. Designs automation of infrastructure as a service and capabilities including virtual networks, virtual machines, cloud services, web sites, data services, IoT, etc. Leads technical deployments that involve multiple IT teams and stakeholders. Develops and enhances the orchestration and automation of cloud enablement tools. Designs a highly scalable and redundant physical or virtual infrastructure to support the companys future growth. Provides innovative suggestions for complex implementation solutions. Creates documentation and implementation plans to allow support teams to build and manage the relevant environment. Develops and manages an infrastructure capacity plan. Required Skillset for the Senior Infrastructure Engineer/Azure/DevOps focus position: Possess significantly developed hands-on technical expertise in multiple key operating systems or subsystem areas. Have some experience in creating as well as using Scripting and other tools to automate routine tasks - Ability to automate manual tasks using Scripting languages (eg Shell, python, Perl, bash). Drive resolution of technical problems in a methodical and professional manner. Effectively summarise and clearly communicate software/hardware problems involving multiple support teams. Some Azure/Cloud exposure, with a DevOps understanding. Demonstrable related work experience (Wintel, VMWare) any experience with Nutanix Converged technologies, including Nutanix Acropolis Hypervisor or AHV. Windows OS Configuring & troubleshooting 2016, 2019 and 2022 (nice to have). VMware Virtualisation 6.5+. AD/DNS/GPO configuration. ITIL Framework grounding (Incident, Change, etc). Any Scripting knowledge is an advantage. Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office
03/05/2024
Full time
Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office This role is a hybrid position and can be based in either their Dorking (Surrey) or Basingstoke (Hampshire) offices with the expectation of being in the office 4 - 6 times per month. The overall package is worth around £80-85k. A leading financial services company are recruiting for a Senior Infrastructure Engineer to take a lead position within their infrastructure team: - with a requirement to be a senior technical engineer and lead by example. - a core element of this role is having the ability to affect technical change in their environment. - this can be as simple as leading new migrations, implementing new software or leading the support of their new Azure Cloud environment. - but you need to have the ability to articulate this and demonstrate what you have done and bring to the table. An understanding or appreciation of Azure and DevOps, is an advantage, but not essential as they are slowly moving their environment over to an infrastructure that supports Azure, although this will only be a small percentage of their estate and they have a hybrid on-prem/cloud (potentially around 20%) model. This is a great role working in a team where career progression is actively encouraged. Ideally you will possess core skills within Wintel/VMware technologies, have a DevOps appreciation and understanding, but this is definitely not a DevOps role. Any knowledge of Nutanix or the willingness to learn it as a new technology is well received and the ability to take on new technology and role with it is important. The primary day to day work for the Senior Infrastructure Engineer/Azure/DevOps focus will consist of: Individuals in the Senior Infrastructure Engineer position are responsible for designing system and infrastructure architectures spanning the whole range of hardware and software technologies in their designated field, using approved system engineering practices. They will develop and maintain the high-level design plan for the overall logical and technical IT architecture. They will provide technical leadership and consulting across the organisation, from strategic decision making to project level planning. They will gain organisational commitment for all high-level Infrastructure plans and initiate and participate in projects to evaluate technologies and methods for implementing these plans. They will work closely with decision makers throughout the organisation to identify, recommend, develop, implement, and support cost-effective information processing and communication technologies. They will benchmark, analyse, report on, and make recommendations for the improvement of the relevant IT Infrastructure and IT systems. They will apply proven analytical and problem-solving skills to help validate, verify, communicate, and resolve complex systems/software/networking/infrastructure applications and infrastructure issues. They are responsible for planning, designing and analysing the organisations operating system(s), storage management, agents/instrumentation, systems management, security, network, web administration, database management, automation, and application technical stacks. Additionally, this position may require working knowledge of multiple computing/networking platforms (including physical, virtual, and cloud,) while ensuring high levels of data quality and availability. They are also responsible for capacity planning, backup and restore process design, performance analysis, and developing data disaster recovery plans. Principal Duties and Responsibilities for the Senior Infrastructure Engineer/Azure/DevOps role: Designs, builds and deploys solutions across the relevant infrastructure technologies, including Humanas Azure tenant. Designs automation of infrastructure as a service and capabilities including virtual networks, virtual machines, cloud services, web sites, data services, IoT, etc. Leads technical deployments that involve multiple IT teams and stakeholders. Develops and enhances the orchestration and automation of cloud enablement tools. Designs a highly scalable and redundant physical or virtual infrastructure to support the companys future growth. Provides innovative suggestions for complex implementation solutions. Creates documentation and implementation plans to allow support teams to build and manage the relevant environment. Develops and manages an infrastructure capacity plan. Required Skillset for the Senior Infrastructure Engineer/Azure/DevOps focus position: Possess significantly developed hands-on technical expertise in multiple key operating systems or subsystem areas. Have some experience in creating as well as using Scripting and other tools to automate routine tasks - Ability to automate manual tasks using Scripting languages (eg Shell, python, Perl, bash). Drive resolution of technical problems in a methodical and professional manner. Effectively summarise and clearly communicate software/hardware problems involving multiple support teams. Some Azure/Cloud exposure, with a DevOps understanding. Demonstrable related work experience (Wintel, VMWare) any experience with Nutanix Converged technologies, including Nutanix Acropolis Hypervisor or AHV. Windows OS Configuring & troubleshooting 2016, 2019 and 2022 (nice to have). VMware Virtualisation 6.5+. AD/DNS/GPO configuration. ITIL Framework grounding (Incident, Change, etc). Any Scripting knowledge is an advantage. Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
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
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
Position Overview: The Head of IT will play a crucial role in owning the IT and Security strategy for the organisation through an exciting period of growth. Leading a team of talented IT professionals, the successful candidate will oversee the design, implementation, and maintenance of systems, networks, and applications, providing technical expertise and strategic direction to support the company's growth and operational efficiency. The role will focus on; Driving productivity gains throughout the business by leveraging the use of technology. Driving the Infrastructure modernisation programme of work - centred on Azure/M365 solutions. Manage, develop and motivate the IT team to deliver a best-in-class service function. The alignment of technical and business objectives to support continued revenue growth across the organisation Development and management of the existing IT systems. Security and integrity of system information Key Responsibilities Team Leadership: Develop and motivate immediate team to achieve IT objectives/agreed SLAs. Lead from the front and be prepared to get "hands dirty". Ability to business partner with all internal stakeholders and be an effective communicator. Develop and maintain positive relationships with all key partners and stakeholders. Clear and open reporting to wider business. Strategic planning: Evaluate business requirements and identify solutions and opportunities to both meet their requirements and drive value add activities. Build on current vision and continue to develop rolling three-year plan. Involve all relevant stakeholders in the planning stage and provide clear communication of the plan Budget Control Own P&L and work with finance on annual and quarterly budgeting cycles. Effectively manage the P&L to agreed budgets. Ability to communicate value add (ROI) of projects. Security and Compliance: Implement and enforce mechanisms that support company security policies and procedures to safeguard the integrity and confidentiality of company data. Stay abreast of industry best practices and regulatory requirements. Project Management: Lead IT projects from inception to completion, ensuring timely delivery within budget and meeting business requirements. Collaborate with stakeholders to define project scope, goals, and deliverables. Vendor/Supplier Management: Manage relationships with IT vendors, ensuring effective communication and timely resolution of issues. Evaluate and recommend new technologies and solutions to enhance IT capabilities. Qualifications/Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Head of IT, with a focus on Windows environments. Strong leadership and team management skills. Experience implementing SaaS solutions - Azure/M365 adoption and associated security. Proven track record of leading and developing high performing IT teams. Experience of leading and delivering complex projects. History of managing multi-site Infrastructure & IT Operations environments Leading change in an IT environment. Multiple locations/Manufacturing experience is desirable. Experience in a high growth SME environment is highly desirable Project management skills and familiarity with ITIL best practices. Security certifications (eg, CISSP, CompTIA Security+) are a plus. Effective communicator at all levels - both internal and external Problem solver Innovative Strong negotiator. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
03/05/2024
Full time
Position Overview: The Head of IT will play a crucial role in owning the IT and Security strategy for the organisation through an exciting period of growth. Leading a team of talented IT professionals, the successful candidate will oversee the design, implementation, and maintenance of systems, networks, and applications, providing technical expertise and strategic direction to support the company's growth and operational efficiency. The role will focus on; Driving productivity gains throughout the business by leveraging the use of technology. Driving the Infrastructure modernisation programme of work - centred on Azure/M365 solutions. Manage, develop and motivate the IT team to deliver a best-in-class service function. The alignment of technical and business objectives to support continued revenue growth across the organisation Development and management of the existing IT systems. Security and integrity of system information Key Responsibilities Team Leadership: Develop and motivate immediate team to achieve IT objectives/agreed SLAs. Lead from the front and be prepared to get "hands dirty". Ability to business partner with all internal stakeholders and be an effective communicator. Develop and maintain positive relationships with all key partners and stakeholders. Clear and open reporting to wider business. Strategic planning: Evaluate business requirements and identify solutions and opportunities to both meet their requirements and drive value add activities. Build on current vision and continue to develop rolling three-year plan. Involve all relevant stakeholders in the planning stage and provide clear communication of the plan Budget Control Own P&L and work with finance on annual and quarterly budgeting cycles. Effectively manage the P&L to agreed budgets. Ability to communicate value add (ROI) of projects. Security and Compliance: Implement and enforce mechanisms that support company security policies and procedures to safeguard the integrity and confidentiality of company data. Stay abreast of industry best practices and regulatory requirements. Project Management: Lead IT projects from inception to completion, ensuring timely delivery within budget and meeting business requirements. Collaborate with stakeholders to define project scope, goals, and deliverables. Vendor/Supplier Management: Manage relationships with IT vendors, ensuring effective communication and timely resolution of issues. Evaluate and recommend new technologies and solutions to enhance IT capabilities. Qualifications/Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Head of IT, with a focus on Windows environments. Strong leadership and team management skills. Experience implementing SaaS solutions - Azure/M365 adoption and associated security. Proven track record of leading and developing high performing IT teams. Experience of leading and delivering complex projects. History of managing multi-site Infrastructure & IT Operations environments Leading change in an IT environment. Multiple locations/Manufacturing experience is desirable. Experience in a high growth SME environment is highly desirable Project management skills and familiarity with ITIL best practices. Security certifications (eg, CISSP, CompTIA Security+) are a plus. Effective communicator at all levels - both internal and external Problem solver Innovative Strong negotiator. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
Harvey Nash Plc
Newcastle Upon Tyne, Tyne And Wear
We're excited to present a fantastic opportunity for a Cloud Operations Engineer to make a significant impact in a global market leading organisation. This organisation is progressing through a significant amount of enterprise wide change. Joining the newly formed team of Engineers within Cloud Operations, this role represents a fantastic opportunity to develop and mature the organisation's Cloud Platform and solutions, ensuring that cloud environments are managed efficiently, ensuring reliability, availability and secure. Operating and deploying cloud based applications and services. Key Responsibilities Provisioning and Configuration: Set up and maintain cloud resources (eg, virtual machines, storage, databases), ensuring scalability and reliability of the cloud environment. Monitoring and Optimization: Implement monitoring solutions to track performance of cloud services. Availability and Reliability: Proactively monitor for performance issues, outages, and disruptions. Conduct regular backups and disaster recovery planning to ensure data integrity. Security and Compliance: Apply security best practices to protect cloud resources and data. Who You'll Be You'll have expert knowledge and proven experience managing Cloud Environments, specifically Azure. A strong communicator, capable of fostering strong connections with both team members and stakeholders. You will have Knowledge/Experience of Infrastructure as Code You will have excellent problem-solving skills You will possess Microsoft Azure Certifications This is an excellent opportunity offering career progression, training and a fantastic benefits package for the successful candidate. Contact us today for further discussion.
03/05/2024
Full time
We're excited to present a fantastic opportunity for a Cloud Operations Engineer to make a significant impact in a global market leading organisation. This organisation is progressing through a significant amount of enterprise wide change. Joining the newly formed team of Engineers within Cloud Operations, this role represents a fantastic opportunity to develop and mature the organisation's Cloud Platform and solutions, ensuring that cloud environments are managed efficiently, ensuring reliability, availability and secure. Operating and deploying cloud based applications and services. Key Responsibilities Provisioning and Configuration: Set up and maintain cloud resources (eg, virtual machines, storage, databases), ensuring scalability and reliability of the cloud environment. Monitoring and Optimization: Implement monitoring solutions to track performance of cloud services. Availability and Reliability: Proactively monitor for performance issues, outages, and disruptions. Conduct regular backups and disaster recovery planning to ensure data integrity. Security and Compliance: Apply security best practices to protect cloud resources and data. Who You'll Be You'll have expert knowledge and proven experience managing Cloud Environments, specifically Azure. A strong communicator, capable of fostering strong connections with both team members and stakeholders. You will have Knowledge/Experience of Infrastructure as Code You will have excellent problem-solving skills You will possess Microsoft Azure Certifications This is an excellent opportunity offering career progression, training and a fantastic benefits package for the successful candidate. Contact us today for further discussion.
Exciting Contract Opportunity in Defence Sector! Are you a seasoned Modelling and Simulation Subject Matter Expert (SME) with a knack for innovation and a passion for Defence technology? We've got the perfect role for you! Role Details: Contract Role: Join us for a dynamic contract opportunity in the Defence sector. Hybrid Work Environment: Enjoy the flexibility of remote and onsite work arrangements. SC Cleared: Security Clearance is a must for this role. Defence Expertise : Leverage your knowledge and experience in Defence to make a real impact. Requirements: The SME should possess expertise in Modelling and Simulation capabilities and systems, along with experience collaborating with M&S stakeholders . Additionally, familiarity with emerging technologies or disruptive capabilities such as X R, Digital Twins, and Cloud-based Ecosystems is highly desirable. Don't miss out on this chance to be part of groundbreaking projects and shape the future of Defence technology! If you're ready to take on a new challenge and make a difference, contact me today or tag someone who might be interested. (see below) Concept is committed to building a diverse and inclusive community where we can all be ourselves and succeed on merit. Concept welcomes all.
03/05/2024
Project-based
Exciting Contract Opportunity in Defence Sector! Are you a seasoned Modelling and Simulation Subject Matter Expert (SME) with a knack for innovation and a passion for Defence technology? We've got the perfect role for you! Role Details: Contract Role: Join us for a dynamic contract opportunity in the Defence sector. Hybrid Work Environment: Enjoy the flexibility of remote and onsite work arrangements. SC Cleared: Security Clearance is a must for this role. Defence Expertise : Leverage your knowledge and experience in Defence to make a real impact. Requirements: The SME should possess expertise in Modelling and Simulation capabilities and systems, along with experience collaborating with M&S stakeholders . Additionally, familiarity with emerging technologies or disruptive capabilities such as X R, Digital Twins, and Cloud-based Ecosystems is highly desirable. Don't miss out on this chance to be part of groundbreaking projects and shape the future of Defence technology! If you're ready to take on a new challenge and make a difference, contact me today or tag someone who might be interested. (see below) Concept is committed to building a diverse and inclusive community where we can all be ourselves and succeed on merit. Concept welcomes all.
Data Scientist Whitehall Resources are currently looking for a Data Scientist based in Sheffield for an initial 6-month contract. *INSIDE IR35.* Role Description: Main Responsibilities: Design, develop, and maintain BI solutions using ServiceNow, Power BI, and QlikSense. Develop and deploy dashboards and reports. Integrate data from various sources. Collaborate with cross-functional teams. Maintain and support BI platforms. Develop and execute queries. Ensure data security and compliance. Key Skills: JavaScript MySQL HTML CSS AngularJS Qualifications: Bachelor's or Master's degree in Computer Science or related field. Strong knowledge of SQL and database structures Proven BI development experience with ServiceNow expertise. Familiarity with relational databases. Proficiency in data modelling and reporting tools. Certifications (preferred): ITIL, ITSM, V3, SCRUM, PMP. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
03/05/2024
Project-based
Data Scientist Whitehall Resources are currently looking for a Data Scientist based in Sheffield for an initial 6-month contract. *INSIDE IR35.* Role Description: Main Responsibilities: Design, develop, and maintain BI solutions using ServiceNow, Power BI, and QlikSense. Develop and deploy dashboards and reports. Integrate data from various sources. Collaborate with cross-functional teams. Maintain and support BI platforms. Develop and execute queries. Ensure data security and compliance. Key Skills: JavaScript MySQL HTML CSS AngularJS Qualifications: Bachelor's or Master's degree in Computer Science or related field. Strong knowledge of SQL and database structures Proven BI development experience with ServiceNow expertise. Familiarity with relational databases. Proficiency in data modelling and reporting tools. Certifications (preferred): ITIL, ITSM, V3, SCRUM, PMP. All of our opportunities require that applicants are eligible to work in the specified country/location, unless otherwise stated in the job description. Whitehall Resources are an equal opportunities employer who value a diverse and inclusive working environment. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity or expression, sexual orientation, national origin, pregnancy, disability, age, veteran status, or other characteristics.
Exciting Contract Opportunity in Defence Sector! Are you a seasoned Modelling and Simulation Subject Matter Expert (SME) with a knack for innovation and a passion for Defence technology? We've got the perfect role for you! Role Details: Contract Role: Join us for a dynamic contract opportunity in the Defence sector. Hybrid Work Environment: Enjoy the flexibility of remote and onsite work arrangements. SC Cleared: Security Clearance is a must for this role. Defence Expertise : Leverage your knowledge and experience in Defence to make a real impact. Requirements: The SME should possess expertise in Modelling and Simulation capabilities and systems, along with experience collaborating with M&S stakeholders . Additionally, familiarity with emerging technologies or disruptive capabilities such as X R, Digital Twins, and Cloud-based Ecosystems is highly desirable. Don't miss out on this chance to be part of groundbreaking projects and shape the future of Defence technology! If you're ready to take on a new challenge and make a difference, contact me today or tag someone who might be interested. (see below) Concept is committed to building a diverse and inclusive community where we can all be ourselves and succeed on merit. Concept welcomes all.
03/05/2024
Project-based
Exciting Contract Opportunity in Defence Sector! Are you a seasoned Modelling and Simulation Subject Matter Expert (SME) with a knack for innovation and a passion for Defence technology? We've got the perfect role for you! Role Details: Contract Role: Join us for a dynamic contract opportunity in the Defence sector. Hybrid Work Environment: Enjoy the flexibility of remote and onsite work arrangements. SC Cleared: Security Clearance is a must for this role. Defence Expertise : Leverage your knowledge and experience in Defence to make a real impact. Requirements: The SME should possess expertise in Modelling and Simulation capabilities and systems, along with experience collaborating with M&S stakeholders . Additionally, familiarity with emerging technologies or disruptive capabilities such as X R, Digital Twins, and Cloud-based Ecosystems is highly desirable. Don't miss out on this chance to be part of groundbreaking projects and shape the future of Defence technology! If you're ready to take on a new challenge and make a difference, contact me today or tag someone who might be interested. (see below) Concept is committed to building a diverse and inclusive community where we can all be ourselves and succeed on merit. Concept welcomes all.
Job Title: Data Scientist Location: Hybrid/Sheffield Duration: Until 30/11 R/24 Role Description: Responsibilities: o Design, develop, and maintain BI solutions using ServiceNow, Power BI, and QlikSense. o Develop and deploy dashboards and reports. o Integrate data from various sources. o Collaborate with cross-functional teams. o Maintain and support BI platforms. o Develop and execute queries. o Ensure data security and compliance. Qualifications: o Bachelor's or Master's degree in Computer Science or related field. o Strong knowledge of SQL and database structures o Proven BI development experience with ServiceNow expertise. o Familiarity with relational databases. o Proficiency in data modelling and reporting tools. o Certifications (preferred): ITIL, ITSM, V3, SCRUM, PMP. Skills: JavaScript, MySQL, HTML, CSS, AngularJS.
03/05/2024
Project-based
Job Title: Data Scientist Location: Hybrid/Sheffield Duration: Until 30/11 R/24 Role Description: Responsibilities: o Design, develop, and maintain BI solutions using ServiceNow, Power BI, and QlikSense. o Develop and deploy dashboards and reports. o Integrate data from various sources. o Collaborate with cross-functional teams. o Maintain and support BI platforms. o Develop and execute queries. o Ensure data security and compliance. Qualifications: o Bachelor's or Master's degree in Computer Science or related field. o Strong knowledge of SQL and database structures o Proven BI development experience with ServiceNow expertise. o Familiarity with relational databases. o Proficiency in data modelling and reporting tools. o Certifications (preferred): ITIL, ITSM, V3, SCRUM, PMP. Skills: JavaScript, MySQL, HTML, CSS, AngularJS.