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
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
03/05/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
03/05/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
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 Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
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 Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
*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.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Linux Engineer. This engineer will focus on design, support, engineering, and automation for the Linux Operating system. This engineer will need hands on experience with Terraform, Kubernetes, Jenkins, Ansible, AWS, Docker, CICD, DevOps, etc. Responsibilities/Qualifications: Bachelor's degree, preferably in a technical discipline (Computer Science, Mathematics, etc.), or equivalent combination of education and experience required 8+ years' experience in IT systems installation, operations, administration, and maintenance of cloud systems/virtualized Servers Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-caliber, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning lifecycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
OLE Description: F5 WAF Engineer - in-depth knowledge of F5 BIG-IP and NGNIX+WAF(Not F5 Platform/network) As an Automation Engineer, you will play a pivotal role in enhancing our IT infrastructure by designing, creating, and maintaining bespoke Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored to specific project needs. This role will have an initial focus on leveraging F5 technologies alongside a broad spectrum of automation and DevOps practices to deliver our automation use cases; however once F5 automaton works have completed, works will progress to other WAF platforms and use cases. You will be responsible for the integration of CI/CD pipelines with solutions developed by other teams, Scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform and Ansible. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should not only have technical proficiency in data structures, automation technologies, API interactions, and cloud services, but also exhibit a strong drive to research, investigate, and collaborate effectively within the organization. Key Responsibilities Developing and Delivering Automation for F5 WAF Platform: In the first instance: Developing and delivering automation solutions specifically for our F5 Web Application Firewall (WAF) platform, aligned with our specific use cases. This involves Scripting, configuring, and deploying automation workflows that enhance security, manageability, and operational efficiency of the F5 WAF environment. CI/CD Pipeline Development: Create, enhance and implement new, customized CI/CD pipelines tailored for specific project use cases, ensuring efficient, automated workflows Pipeline Maintenance: Regularly update and maintain existing CI/CD pipelines to ensure they are efficient, secure, and up-to-date with the latest technology standards Integration of Solutions: Work collaboratively with other teams to integrate their solutions and tools into the CI/CD pipelines effectively, enhancing overall workflow and productivity. IaC Manifests Creation: Develop and maintain Infrastructure as Code (IaC) manifests, predominantly using Terraform, to manage and provision IT infrastructure in a consistent and repeatable manner Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the potential for human error. Collaboration and Communication: Collaborate with cross-functional teams, including software development, operations, and quality assurance, to ensure seamless integration and implementation of DevOps practices Proactive Research and Collaboration: Eager to research and utilize company resources like Confluence, find relevant contacts, and reach out to other teams for unknowns. Prepared to independently investigate and resolve challenges. Required F5 Experiences - One or more of these F5 ASM/AWAF Knowledge & Experience: Understanding and practical experience with F5's Application Security Manager (ASM) and Advanced WAF (AWAF), including configuration, management, and troubleshooting of application security policies and web application Firewalls. F5 with API Gateway: Experience: Integrating F5 solutions with API Gateway technologies, demonstrating the ability to secure and manage APIs effectively. Experience in using F5 with Kong API Gateway; managing, and optimizing API traffic through F5 systems. F5 GTM and Proxy Technologies: Knowledge and experience with F5's Global Traffic Manager (GTM) as well as experience with Proxy technologies, including forward and reverse proxies Basic Certificate Management: Knowledge of SSL/TLS certificate management processes, including issuance, renewal, and deployment, within F5 environments. F5 AS3: Experience; Experience with AS3 (Application Services 3 Extension), for declarative automation and orchestration of F5 BIG-IP services. Proficiency in automating the deployment and management of F5 configurations using AS3 Key Experience - Ideal Candidate Profile Technical Expertise in CI/CD Tools: Proficiency in Continuous Integration and Continuous Deployment tools such as Jenkins, CircleCI, Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. Proficiency in Scripting Languages: Strong skills in Scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC tools like Terraform, Ansible, Chef, or Puppet Data Structuring and Management: Advanced skills in managing data using formats like JSON, YAML, XML, and others. Capable of parsing, creating, and maintaining complex data structures for configuration and automation purposes. API Integration and Management: Expertise in querying, integrating, and managing APIs. Capable of constructing and executing API calls for data retrieval, updates, and inter-service communication. Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices in a DevOps environment. Familiarity with security scanning tools, implementing secure coding practices, and ensuring compliance with industry standards Agile and Scrum Methodologies: Experience with Agile and Scrum methodologies. Ability to work in fast-paced, iterative development environments and adapt to changing requirements Networking and Security Fundamentals: Knowledge of networking concepts (eg, TCP/IP, DNS, HTTP/S) and basic security concepts (eg, Firewalls, VPNs, IDS/IPS). Problem-Solving and Analytical Skills: Strong problem-solving skills and ability to analyze complex systems and workflows to propose effective automation solutions. Collaboration and Communication: Excellent collaboration and communication skills. Ability to work effectively in a team and communicate complex technical concepts to both technical and non-technical stakeholders. Project Management Skills: Basic project management skills with the ability to manage timelines, dependencies, and deliverables in a cross-functional environment. Research and Investigative Skills: Motivated to self-educate and explore company resources and external knowledge bases
03/05/2024
Project-based
OLE Description: F5 WAF Engineer - in-depth knowledge of F5 BIG-IP and NGNIX+WAF(Not F5 Platform/network) As an Automation Engineer, you will play a pivotal role in enhancing our IT infrastructure by designing, creating, and maintaining bespoke Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored to specific project needs. This role will have an initial focus on leveraging F5 technologies alongside a broad spectrum of automation and DevOps practices to deliver our automation use cases; however once F5 automaton works have completed, works will progress to other WAF platforms and use cases. You will be responsible for the integration of CI/CD pipelines with solutions developed by other teams, Scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform and Ansible. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should not only have technical proficiency in data structures, automation technologies, API interactions, and cloud services, but also exhibit a strong drive to research, investigate, and collaborate effectively within the organization. Key Responsibilities Developing and Delivering Automation for F5 WAF Platform: In the first instance: Developing and delivering automation solutions specifically for our F5 Web Application Firewall (WAF) platform, aligned with our specific use cases. This involves Scripting, configuring, and deploying automation workflows that enhance security, manageability, and operational efficiency of the F5 WAF environment. CI/CD Pipeline Development: Create, enhance and implement new, customized CI/CD pipelines tailored for specific project use cases, ensuring efficient, automated workflows Pipeline Maintenance: Regularly update and maintain existing CI/CD pipelines to ensure they are efficient, secure, and up-to-date with the latest technology standards Integration of Solutions: Work collaboratively with other teams to integrate their solutions and tools into the CI/CD pipelines effectively, enhancing overall workflow and productivity. IaC Manifests Creation: Develop and maintain Infrastructure as Code (IaC) manifests, predominantly using Terraform, to manage and provision IT infrastructure in a consistent and repeatable manner Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the potential for human error. Collaboration and Communication: Collaborate with cross-functional teams, including software development, operations, and quality assurance, to ensure seamless integration and implementation of DevOps practices Proactive Research and Collaboration: Eager to research and utilize company resources like Confluence, find relevant contacts, and reach out to other teams for unknowns. Prepared to independently investigate and resolve challenges. Required F5 Experiences - One or more of these F5 ASM/AWAF Knowledge & Experience: Understanding and practical experience with F5's Application Security Manager (ASM) and Advanced WAF (AWAF), including configuration, management, and troubleshooting of application security policies and web application Firewalls. F5 with API Gateway: Experience: Integrating F5 solutions with API Gateway technologies, demonstrating the ability to secure and manage APIs effectively. Experience in using F5 with Kong API Gateway; managing, and optimizing API traffic through F5 systems. F5 GTM and Proxy Technologies: Knowledge and experience with F5's Global Traffic Manager (GTM) as well as experience with Proxy technologies, including forward and reverse proxies Basic Certificate Management: Knowledge of SSL/TLS certificate management processes, including issuance, renewal, and deployment, within F5 environments. F5 AS3: Experience; Experience with AS3 (Application Services 3 Extension), for declarative automation and orchestration of F5 BIG-IP services. Proficiency in automating the deployment and management of F5 configurations using AS3 Key Experience - Ideal Candidate Profile Technical Expertise in CI/CD Tools: Proficiency in Continuous Integration and Continuous Deployment tools such as Jenkins, CircleCI, Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. Proficiency in Scripting Languages: Strong skills in Scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC tools like Terraform, Ansible, Chef, or Puppet Data Structuring and Management: Advanced skills in managing data using formats like JSON, YAML, XML, and others. Capable of parsing, creating, and maintaining complex data structures for configuration and automation purposes. API Integration and Management: Expertise in querying, integrating, and managing APIs. Capable of constructing and executing API calls for data retrieval, updates, and inter-service communication. Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices in a DevOps environment. Familiarity with security scanning tools, implementing secure coding practices, and ensuring compliance with industry standards Agile and Scrum Methodologies: Experience with Agile and Scrum methodologies. Ability to work in fast-paced, iterative development environments and adapt to changing requirements Networking and Security Fundamentals: Knowledge of networking concepts (eg, TCP/IP, DNS, HTTP/S) and basic security concepts (eg, Firewalls, VPNs, IDS/IPS). Problem-Solving and Analytical Skills: Strong problem-solving skills and ability to analyze complex systems and workflows to propose effective automation solutions. Collaboration and Communication: Excellent collaboration and communication skills. Ability to work effectively in a team and communicate complex technical concepts to both technical and non-technical stakeholders. Project Management Skills: Basic project management skills with the ability to manage timelines, dependencies, and deliverables in a cross-functional environment. Research and Investigative Skills: Motivated to self-educate and explore company resources and external knowledge bases
Network Engineer - Basingstoke, on-site Permanent position Must undergo DV Clearance before starting Job Description The Network Engineer will be part of the Delivery Team and will liaise with the current SMEs for Networking, Infrastructure, Applications and Security as required. They will have a wealth of experience on larger or more complex solutions, demonstrating an understanding of the customers' business and commercial issues. They identify, design and deliver larger or complex solutions to meet challenging requirements. You will be responsible for assisting the Solution Architects with the design and communication of structures to enable and guide the design and development of integrated solutions that meet current and future business needs. Experience Required: Network design (high and low level) Configuring network devices Previous experience Cisco routing and switching devices Demonstrable understanding of OSPF, EIGRP and BGP routing protocols. Demonstrable understanding of NAT, GRE Tunnelling protocol, DMVPN Tunnelling Protocol, Subnetting & Supernetting. Previous troubleshooting and support experience. Previous experience in a Level 4 support role Network operation in an offline environment Desirable Previous experience with Juniper SRX or Fortinet FortiGate Previous experience with Cisco ASA and McAfee MFE appliances Previous experience with some of the following Cisco appliances: Cisco routing 1800,1900,2900,3900 and 4300 series. Cisco switching 3750, 3850 series, 9200 & 9300 series. Please note, candidates will be required to undergo a high level of security clearance before starting this role and must be willing and eligible to do so. Project People is acting as an Employment Agency in relation to this vacancy.
03/05/2024
Full time
Network Engineer - Basingstoke, on-site Permanent position Must undergo DV Clearance before starting Job Description The Network Engineer will be part of the Delivery Team and will liaise with the current SMEs for Networking, Infrastructure, Applications and Security as required. They will have a wealth of experience on larger or more complex solutions, demonstrating an understanding of the customers' business and commercial issues. They identify, design and deliver larger or complex solutions to meet challenging requirements. You will be responsible for assisting the Solution Architects with the design and communication of structures to enable and guide the design and development of integrated solutions that meet current and future business needs. Experience Required: Network design (high and low level) Configuring network devices Previous experience Cisco routing and switching devices Demonstrable understanding of OSPF, EIGRP and BGP routing protocols. Demonstrable understanding of NAT, GRE Tunnelling protocol, DMVPN Tunnelling Protocol, Subnetting & Supernetting. Previous troubleshooting and support experience. Previous experience in a Level 4 support role Network operation in an offline environment Desirable Previous experience with Juniper SRX or Fortinet FortiGate Previous experience with Cisco ASA and McAfee MFE appliances Previous experience with some of the following Cisco appliances: Cisco routing 1800,1900,2900,3900 and 4300 series. Cisco switching 3750, 3850 series, 9200 & 9300 series. Please note, candidates will be required to undergo a high level of security clearance before starting this role and must be willing and eligible to do so. Project People is acting as an Employment Agency in relation to this vacancy.
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:
University of the Arts London (UAL) is a world-leading creative university for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several institutes that further the university's mission. Under the leadership of our President and Vice-Chancellor, we are designing the University around social purpose; through the students and ideas we send out into the world, and the partnerships we build to achieve social, environmental, and economic progress. Digital & Technology at UAL is on an exciting journey, shifting from a technology-centric to a user-centric approach, investing in the people and processes enabled by digital and transforming the student and staff experience. The VLE Technical Operations Manager is a new role in the Teaching and Learning Product team, and will play a pivotal role in enhancing Student Experience, through ensuring the technical operations of UAL's Virtual Learning Environment (Moodle), along with other Teaching and Learning products. Reporting to the DevOps Manager, you will ensure the team is delivering on day-to-day 3rd line support issues, managing server upgrades, and broader infrastructure/hosting requirements. Alongside this, you'll work closely with colleagues who focus on Development and Support to ensure effective resolution of issues and change delivery. More broadly, you will provide technical leadership, build and maintain key stakeholder relationships and lead on major incident response ensuring functionality of the University's VLE. You will also play a key role supporting our DevOps maturity focusing on maintaining and improving operational excellence. Core Skills Experience with web applications and the infrastructure/hosting requirements (for example Moodle, WordPress or other learning management systems or content management systems) Strong knowledge of customer centric service management processes Experience with web hosting platforms and security standards (eg Apache) Demonstrated ability to adapt to an ever-changing technical landscape. Extensive experience of working with a diverse range of stakeholders and external partners to deliver and develop digital products and services. Demonstrable experience of driving and championing new ways of working while bringing people along with you UAL is a world-class university, shaping the creative industries worldwide, and staff have access to a range of benefits, which recognise and reward the contributions they make, including: Competitive salary package of up to £68,406 per annum 34 days annual leave plus public holidays Generous, defined benefit pension scheme Family-friendly policies, including 26 weeks of full maternity or paternity pay Closing date: Monday 20th May Interviews will take place virtually on Wednesday 29/Thursday 30th May Hays Technology have been appointed by UAL to manage the recruitment of this role. For all enquiries, please contact Daniel Friedman at Hays Technology Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
03/05/2024
Full time
University of the Arts London (UAL) is a world-leading creative university for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several institutes that further the university's mission. Under the leadership of our President and Vice-Chancellor, we are designing the University around social purpose; through the students and ideas we send out into the world, and the partnerships we build to achieve social, environmental, and economic progress. Digital & Technology at UAL is on an exciting journey, shifting from a technology-centric to a user-centric approach, investing in the people and processes enabled by digital and transforming the student and staff experience. The VLE Technical Operations Manager is a new role in the Teaching and Learning Product team, and will play a pivotal role in enhancing Student Experience, through ensuring the technical operations of UAL's Virtual Learning Environment (Moodle), along with other Teaching and Learning products. Reporting to the DevOps Manager, you will ensure the team is delivering on day-to-day 3rd line support issues, managing server upgrades, and broader infrastructure/hosting requirements. Alongside this, you'll work closely with colleagues who focus on Development and Support to ensure effective resolution of issues and change delivery. More broadly, you will provide technical leadership, build and maintain key stakeholder relationships and lead on major incident response ensuring functionality of the University's VLE. You will also play a key role supporting our DevOps maturity focusing on maintaining and improving operational excellence. Core Skills Experience with web applications and the infrastructure/hosting requirements (for example Moodle, WordPress or other learning management systems or content management systems) Strong knowledge of customer centric service management processes Experience with web hosting platforms and security standards (eg Apache) Demonstrated ability to adapt to an ever-changing technical landscape. Extensive experience of working with a diverse range of stakeholders and external partners to deliver and develop digital products and services. Demonstrable experience of driving and championing new ways of working while bringing people along with you UAL is a world-class university, shaping the creative industries worldwide, and staff have access to a range of benefits, which recognise and reward the contributions they make, including: Competitive salary package of up to £68,406 per annum 34 days annual leave plus public holidays Generous, defined benefit pension scheme Family-friendly policies, including 26 weeks of full maternity or paternity pay Closing date: Monday 20th May Interviews will take place virtually on Wednesday 29/Thursday 30th May Hays Technology have been appointed by UAL to manage the recruitment of this role. For all enquiries, please contact Daniel Friedman at Hays Technology Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
03/05/2024
Full time
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
03/05/2024
Full time
Manager, Internal Audit - IT/Security Salary: open + bonus Location: Chicago, IL or Dallas, TX Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree 5+ years of experience in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Microsoft Office applications Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software. Security tools such as: CyberArk, Splunk, SailPoint Change management tools such as: ServiceNow, Jira, Confluence, GitHub Preferred Databases such as: Oracle, DB2, SQL Cloud-based solutions: AWS, Azure, Oracle Cloud, Workday Relevant Certifications Responsibilities Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality, and auditee experience.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Manager of Internal Audit and Information Security. Candidate will manage independent assessments of the Information Technology and Security environment, risk management, and other objectives as needed. The role is responsible for defining the proper scope, approach, and quality are integrated into each audit and that regulatory, operational, and strategic risks are sufficiently mitigated by Management. This role will also be required to present recommendations for improvements to the Internal Audit Leadership and finding owners. In addition, as a manager you will own the coaching of your direct reports, developing their skills and supporting their career development. Responsibilities: Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Leading audits related to organization changes including business requirements definitions, technology implementations (eg, changes to the supported business processes), engagement and alignment of change initiatives to business objectives. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices. Keeping current on leading practices and emerging risks within the financial services industry and making recommendations for improvements as necessary. Serving as a liaison with external parties and regulators to facilitate timely and efficient external reviews, knowledge transfer, and controls and process education. Supporting other department-wide activities such as but not limited to peer reviews of audit deliverables, policy and procedure development and refinement, etc. Lead and implement strategic initiatives related to new audit programs/processes, technology or other initiatives. Planning, leading and reporting for risk-based and special request audit assignments. Proactively identifying regulatory, operational, and/or strategic risks to the organization and deliver recommendations for improvements to senior leadership. Developing and maintaining effective relationships with business groups and leadership and partnering with management. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality and auditee experience. Qualifications: Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions. Strong problem solving and analytical capabilities. Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Experience working in a complex, fast paced environment. Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA). [Preferred] Consulting and/or accounting firm experience. [Preferred] Experience in Financial Services/Security Industry and working with regulations such as Regulation Systems Compliance and Integrity (Reg SCI). Technical Skills: [Required] Microsoft Office applications [Required] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software [Required] Familiarity with security tools such as: CyberArk, Splunk, SailPoint [Required] Familiarity with change management tools such as: ServiceNow, Jira, Confluence, GitHub [Preferred] Familiarity with databases such as: Oracle, DB2, SQL [Preferred] Familiarity with cloud based solutions: AWS, Azure, Oracle Cloud, Workday Education and/or Experience: [Required] Bachelor's degree (or equivalent) in Information Technology, Computer Science, Computer Engineering, Accounting, Finance, Business Administration, or related field. [Required] 5+ years of experience (audit-related) in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Certificates or Licenses: [One of these required] Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Manager of Internal Audit and Information Security. Candidate will manage independent assessments of the Information Technology and Security environment, risk management, and other objectives as needed. The role is responsible for defining the proper scope, approach, and quality are integrated into each audit and that regulatory, operational, and strategic risks are sufficiently mitigated by Management. This role will also be required to present recommendations for improvements to the Internal Audit Leadership and finding owners. In addition, as a manager you will own the coaching of your direct reports, developing their skills and supporting their career development. Responsibilities: Aid in the development of the risk assessment and comprehensive audit plan on an annual basis. Lead multiple audits and validations simultaneously. Defining and leading the execution of audit projects in accordance with the annual audit plan. Owning the audit quality, accuracy of results, and delivery in a timely manner. Leading audits related to organization changes including business requirements definitions, technology implementations (eg, changes to the supported business processes), engagement and alignment of change initiatives to business objectives. Ability to clearly articulate professional principles and standards (eg, AICPA, IIA IPPF, COBIT, NIST CSF) and the relevancy to risk management and impact on policies and procedures. In addition, leveraging these principles and standards to test and evaluate corporate risk management processes and controls. Maintaining an understanding of policies, procedures, standards, and supporting technologies, and educating staff accordingly, to effectively identify potential risks and alternatives to mitigate risk exposure leveraging leading practices. Keeping current on leading practices and emerging risks within the financial services industry and making recommendations for improvements as necessary. Serving as a liaison with external parties and regulators to facilitate timely and efficient external reviews, knowledge transfer, and controls and process education. Supporting other department-wide activities such as but not limited to peer reviews of audit deliverables, policy and procedure development and refinement, etc. Lead and implement strategic initiatives related to new audit programs/processes, technology or other initiatives. Planning, leading and reporting for risk-based and special request audit assignments. Proactively identifying regulatory, operational, and/or strategic risks to the organization and deliver recommendations for improvements to senior leadership. Developing and maintaining effective relationships with business groups and leadership and partnering with management. Effectively lead audit staff, providing direction, clearly defined performance expectations, coaching and feedback, and recognition/motivation. Providing oversight and coaching to the team, both internal and/or co-sourced resources, confirming the delivery, quality and auditee experience. Qualifications: Ability to communicate clearly and effectively, both orally and in writing, including the ability to handle potentially sensitive situations and discussions. Strong problem solving and analytical capabilities. Demonstrated ability to gather, analyze, and evaluate facts, and prepare and present concise oral and written reports. Ability to work independently or as part of a team, prioritizing multiple audit assignments to simultaneously complete each in a timely fashion. Experience working in a complex, fast paced environment. Experience using the principles, practices, and techniques involved in conducting audits in accordance with the requirements set forth in the International Standards for the Professional Practice of Internal Auditing published by the Institute of Internal Auditors (IIA). [Preferred] Consulting and/or accounting firm experience. [Preferred] Experience in Financial Services/Security Industry and working with regulations such as Regulation Systems Compliance and Integrity (Reg SCI). Technical Skills: [Required] Microsoft Office applications [Required] Proficiency using Archer or other audit or Governance Risk and Compliance (GRC) software [Required] Familiarity with security tools such as: CyberArk, Splunk, SailPoint [Required] Familiarity with change management tools such as: ServiceNow, Jira, Confluence, GitHub [Preferred] Familiarity with databases such as: Oracle, DB2, SQL [Preferred] Familiarity with cloud based solutions: AWS, Azure, Oracle Cloud, Workday Education and/or Experience: [Required] Bachelor's degree (or equivalent) in Information Technology, Computer Science, Computer Engineering, Accounting, Finance, Business Administration, or related field. [Required] 5+ years of experience (audit-related) in conducting risk-based Information Technology and Security audits and projects, cyber security reviews, and internal audits. Certificates or Licenses: [One of these required] Certified Information Systems Auditor (CISA), Certified Information Systems Security Professional (CISSP), Certification in Risk Management Assurance (CRMA), Certified Internal Auditor (CIA), Certified Public Accountant (CPA), or equivalent.