This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 The Role: Lead, Software Engineer Location: Hybrid setting role, 2 days per week onsite on NYC or Princeton, NJ About the Role: S&P Dow Jones Indices is a leader in benchmarks and investable indices, providing indispensable solutions to institutional clients. We are seeking a Lead Software Engineer for our indices prototyping platform. The ideal candidate is a highly skilled developer with experience in designing and implementing large-scale distributed systems that handle complex calculations and are deployed to cloud infrastructure. This role is pivotal in advancing S&P Global's capabilities in delivering high-quality indices and benchmarks. The Team: The Lead Software Engineer will collaborate with a team of seasoned Software Engineers, contributing to the development of robust and scalable solutions that meet the evolving needs of our institutional clients. This team is dedicated to fostering an environment of innovation and continuous improvement, where creative problem-solving and cutting-edge technology solutions are at the forefront. As part of this collaborative effort, the Lead Software Engineer will work on implementing high-quality solutions and contribute to the overall development direction of the platform. Additionally, the team values open communication and encourages the sharing of ideas and best practices, creating a supportive atmosphere for professional growth and development. Responsibilities include: Lead the design, development, and deployment of applications using modern programming languages and frameworks. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Develop and implement applications that are highly scalable and fault-tolerant. Utilize cloud services for application deployments. Implement containerization strategies for applications. Develop user interfaces using modern front-end technologies. Mentor junior developers and provide technical guidance. Stay up-to-date with emerging technologies and industry trends. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $120,000 - $150,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. What We're Looking For: Basic Required Qualifications: Ideal candidate should have 8+ years of strong Java experience in designing, developing, testing and successfully deploying critical and complex projects. Must have strong Java skills with experience in development of concurrent and distributed systems. Should have experience working in Java 8 features especially Streams API. Must have 5 + yrs. advanced experience with Spring-based technologies (Spring Boot, Spring Cloud etc.) and caching frameworks like Hazelcast. Must have 5 + yrs. SQL knowledge and experience. Role requires experience in designing and implementing micro services based solutions; and experience writing unit/integration tests; writing SQL queries with a good understanding of data model. Should possess exposure of AWS cloud (EC2, ECS, Load Balancer, Security Group, Lambda, S3, etc.). Strong analytical and problem solving skills. Bachelor's degree in Computer Science, Information Technology, or a related field. Additional Preferred Qualifications: Master's degree in Computer Science or related field. Experience with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum methodologies. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 11 The Role: Lead, Software Engineer Location: Hybrid setting role, 2 days per week onsite on NYC or Princeton, NJ About the Role: S&P Dow Jones Indices is a leader in benchmarks and investable indices, providing indispensable solutions to institutional clients. We are seeking a Lead Software Engineer for our indices prototyping platform. The ideal candidate is a highly skilled developer with experience in designing and implementing large-scale distributed systems that handle complex calculations and are deployed to cloud infrastructure. This role is pivotal in advancing S&P Global's capabilities in delivering high-quality indices and benchmarks. The Team: The Lead Software Engineer will collaborate with a team of seasoned Software Engineers, contributing to the development of robust and scalable solutions that meet the evolving needs of our institutional clients. This team is dedicated to fostering an environment of innovation and continuous improvement, where creative problem-solving and cutting-edge technology solutions are at the forefront. As part of this collaborative effort, the Lead Software Engineer will work on implementing high-quality solutions and contribute to the overall development direction of the platform. Additionally, the team values open communication and encourages the sharing of ideas and best practices, creating a supportive atmosphere for professional growth and development. Responsibilities include: Lead the design, development, and deployment of applications using modern programming languages and frameworks. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Help maintain code quality, organization, and automation. Develop and implement applications that are highly scalable and fault-tolerant. Utilize cloud services for application deployments. Implement containerization strategies for applications. Develop user interfaces using modern front-end technologies. Mentor junior developers and provide technical guidance. Stay up-to-date with emerging technologies and industry trends. Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $120,000 - $150,000. Final base salary for this role will be based on the individual's geographical location as well as experience and qualifications for the role. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here. What We're Looking For: Basic Required Qualifications: Ideal candidate should have 8+ years of strong Java experience in designing, developing, testing and successfully deploying critical and complex projects. Must have strong Java skills with experience in development of concurrent and distributed systems. Should have experience working in Java 8 features especially Streams API. Must have 5 + yrs. advanced experience with Spring-based technologies (Spring Boot, Spring Cloud etc.) and caching frameworks like Hazelcast. Must have 5 + yrs. SQL knowledge and experience. Role requires experience in designing and implementing micro services based solutions; and experience writing unit/integration tests; writing SQL queries with a good understanding of data model. Should possess exposure of AWS cloud (EC2, ECS, Load Balancer, Security Group, Lambda, S3, etc.). Strong analytical and problem solving skills. Bachelor's degree in Computer Science, Information Technology, or a related field. Additional Preferred Qualifications: Master's degree in Computer Science or related field. Experience with CI/CD pipelines and DevOps practices. Experience with Agile/Scrum methodologies. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply and will actively support your return to the workplace. About S&P Global Dow Jones Indic e s At S&P Dow Jones Indices, we provide iconic and innovative index solutions backed by unparalleled expertise across the asset-class spectrum. By bringing transparency to the global capital markets, we empower investors everywhere to make decisions with conviction. We're the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500 and the Dow Jones Industrial Average . More assets are invested in products based upon our indices than any other index provider in the world. With over USD 7.4 trillion in passively managed assets linked to our indices and over USD 11.3 trillion benchmarked to our indices, our solutions are widely considered indispensable in tracking market performance, evaluating portfolios and developing investment strategies. S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer . click apply for full job details
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 About the Role: The Team: The Enterprise Solutions business within S&P Global Market Intelligence provides industry-leading data, software, and services that support investment management, enterprise data management, regulatory compliance, and private markets solutions. The Private Markets product team is responsible for products that support the entire investment lifecycle across Private Equity, Venture Capital, Real Estate, Infrastructure, and Private Credit markets. As part of the flagship iLEVEL product organization, you will work with a highly collaborative team of product leaders, technology professionals, and market experts focused on delivering innovative solutions for investment professionals. The team values customer-centricity, innovation, execution excellence, and continuous learning. Responsibilities and Impact: We are seeking a Lead Product Manager to drive our MCP & AI Agents Platform initiatives. This leader will own the vision, strategy, and execution for both the MCP connector ecosystem, enabling seamless integration of private markets data and content sources, and the AI Analyst capabilities being developed within our flagship iLEVEL platform. As a Lead Product Manager, you'll lead zero-to-one product efforts, building and scaling net new product offerings in a high growth, fast moving environment - leveraging the latest and greatest in agents, agentic workflows, and LLMs to build transformative new products that deliver value to clients. This role will require working closely with engineering, design, product, data science, marketing, go-to-market to drive new AI products to success. This is a highly cross-functional and visible role suited for a hands-on builder who thrives at the intersection of AI, customer-centric product development, and financial technology. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $101,000 to $175,000. Final base salary for this role will be based on the individual's geographic location, experience level, skill set, training, licenses, and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What We're Looking For: Basic Required Qualifications: Experience in FinTech, AI, or other technology-driven environments, with a track record of launching and scaling products. Hands-on AI product builder with experience applying new AI technologies, including LLMs, agents, retrieval systems, and modern AI development tools. Strategic and customer-focused thinker who can develop deep domain expertise, simplify complex problems, and translate insights into impactful product strategies. Strong product operator skilled in agile delivery, product requirements, data-driven decision-making, KPI management, and cross-functional execution. Additional Preferred Qualifications: Exceptional communicator and collaborator who thrives in fast-paced, ambiguous environments and can align Product, Engineering, Design, and Go-to-Market teams around a shared vision. Experience working in a Private Markets product team. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal - 20 - Professional (EEO-2 Job Categories-United States of America), PDMGDV202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. Kensho is pioneering AI-powered solutions that reshape industries and unlock new business opportunities. As an AI Specialist, you will be responsible for helping to define and execute strategies that drive market expansion, revenue growth, and adoption of AI products. This role sits at the intersection of sales engineering, AI strategy, and customer engagement-helping Kensho deepen its footprint in key markets and maximize the impact of its AI solutions. You will leverage your skills and understanding of Kensho's value proposition and how we interact with S&P Global's solutions to spearhead the go-to-market strategy for our AI-powered data solutions. This role combines hands-on technical understanding of AI product lifecycles, scalability, and integration challenges with strategic market leadership, requiring someone who can bridge the gap between cutting-edge AI technology and commercial success. In this capacity, you'll act as a key subject matter expert in AI, assisting with closing strategic business deals and serving as a vital partner to go-to-market teams at S&P Global. You will help shape Kensho's strategic positioning, foster industry partnerships, and identify opportunities that translate into tangible value creation. You will play a pivotal role in bridging AI innovation with business needs, ensuring Kensho remains at the forefront of industry transformation. Kensho states that the anticipated base salary range for the position is 120-160k. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Key Responsibilities Strategic Growth & Market Expansion: Develop and deliver compelling technical and business cases to engage decision makers on new products, features, and innovations, ensuring clear articulation of technical feasibility, system requirements, value propositions, and ROI projections grounded in AI performance metrics Assess product readiness for market launch and guide necessary improvements or adjustments through detailed market feedback and competitive analysis Provide strategic market feedback to Kensho Strategy and Product teams to guide company positioning, product roadmap decisions, and strategic investment priorities Grow and manage a robust customer pipeline for AI-ready solutions, including LRA, Groundings, and beyond Identify Opportunities for Kensho Labs Team by facilitating design workshops with high value clients that require solution engineering Customer Engagement & Strategic Market Positioning: Build alliances with S&P Global customers through close collaboration with the Chief Client Office (CCO) and commercial teams Drive co-development partnerships , ensuring products go to market with SME testing Conduct market analysis to uncover new verticals, regions, and customer segments (e.g., Private Markets) and provide valuable insights back to Kensho Strategy and Product teams Deliver high-impact product demos for high-value customers, shaping narratives that highlight Kensho's unique value Lead technical deep-dive sessions with potential partners and customers to demonstrate the underlying AI architecture and capabilities of Kensho's solutions Represent Kensho at industry conferences and events , driving lead generation and thought leadership Develop market entry strategies for new segments and geographies, including risk assessment, resource requirements, and success metrics Own and drive strategic market positioning by identifying key differentiators and utilizing position matrices to visualize Kensho's competitive standing Cross-Functional Collaboration & Messaging: Collaborate with marketing and communications teams to develop clear, compelling narratives, segment-specific messaging, and transparent value propositions that resonate with target audiences Act as a critical bridge between customer needs and Kensho's product/engineering teams , translating market insights into actionable technical requirements and contributing directly to the prioritization of AI model enhancements and feature roadmaps Work closely with sales teams to provide market intelligence, competitive positioning, and customer insights that enhance sales effectiveness Drive sales enablement , ensuring commercial teams have the resources to effectively communicate Kensho's AI value proposition What You'll Bring: 3+ Years' proven experience in a customer-facing role such as a Sales Specialist, Solutions Architect, or Product specialist, with a focus on AI or data-driven solutions with a Bachelor's degree preferred Experience qualifying and selling B2B software, data or other technology products Subject-matter expertise with content feeds, metadata, assorted document and data delivery types a plus A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities Effective communication skills working with internal colleagues and external vendor contacts at all levels Collaborative and cooperative attitude with sales and marketing teammates Goal oriented and self-motivated, with a passion for Artificial Intelligence Experience working with globally distributed teams and partners in different time zones Strong analytical skills with the ability to translate data into actionable insights A passion for and/or experience with advanced AI systems. Excellent communication and interpersonal skills Experience working with globally distributed teams and partners in different time zones Ability to work in a fast-paced, dynamic environment Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities At Kensho, we pride ourselves on providing top-of-market benefits, including: Medical, Dental, and Vision insurance 100% company paid premiums Unlimited Paid Time Off 26 weeks of 100% paid Parental Leave (paternity and maternity) 401(k) plan with 6% employer matching Generous company matching on donations to non-profit charities Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences Plentiful snacks, drinks, and regularly catered lunches Dog-friendly office (CAM office) Bike sharing program memberships Compassion leave and elder care leave Mentoring and additional learning opportunities Opportunity to expand professional network and participate in conferences and events Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Kensho is S&P Global's hub for AI innovation and transformation. With expertise in machine learning, natural language processing, and data discovery, we develop and deploy novel solutions to innovate and drive progress at S&P Global and its customers worldwide. Kensho's solutions and research focus on business and financial generative AI applications, agents, data retrieval APIs, data extraction, and much more. At Kensho, we hire talented people and give them the autonomy and support needed to build amazing technology and products. We collaborate using our teammates' diverse perspectives to solve hard problems. Our communication with one another is open, honest, and efficient. We dedicate time and resources to explore new ideas, but always rooted in engineering best practices. As a result, we can innovate rapidly to produce technology that is scalable, robust, and useful. Kensho is pioneering AI-powered solutions that reshape industries and unlock new business opportunities. As an AI Specialist, you will be responsible for helping to define and execute strategies that drive market expansion, revenue growth, and adoption of AI products. This role sits at the intersection of sales engineering, AI strategy, and customer engagement-helping Kensho deepen its footprint in key markets and maximize the impact of its AI solutions. You will leverage your skills and understanding of Kensho's value proposition and how we interact with S&P Global's solutions to spearhead the go-to-market strategy for our AI-powered data solutions. This role combines hands-on technical understanding of AI product lifecycles, scalability, and integration challenges with strategic market leadership, requiring someone who can bridge the gap between cutting-edge AI technology and commercial success. In this capacity, you'll act as a key subject matter expert in AI, assisting with closing strategic business deals and serving as a vital partner to go-to-market teams at S&P Global. You will help shape Kensho's strategic positioning, foster industry partnerships, and identify opportunities that translate into tangible value creation. You will play a pivotal role in bridging AI innovation with business needs, ensuring Kensho remains at the forefront of industry transformation. Kensho states that the anticipated base salary range for the position is 120-160k. At Kensho, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. Key Responsibilities Strategic Growth & Market Expansion: Develop and deliver compelling technical and business cases to engage decision makers on new products, features, and innovations, ensuring clear articulation of technical feasibility, system requirements, value propositions, and ROI projections grounded in AI performance metrics Assess product readiness for market launch and guide necessary improvements or adjustments through detailed market feedback and competitive analysis Provide strategic market feedback to Kensho Strategy and Product teams to guide company positioning, product roadmap decisions, and strategic investment priorities Grow and manage a robust customer pipeline for AI-ready solutions, including LRA, Groundings, and beyond Identify Opportunities for Kensho Labs Team by facilitating design workshops with high value clients that require solution engineering Customer Engagement & Strategic Market Positioning: Build alliances with S&P Global customers through close collaboration with the Chief Client Office (CCO) and commercial teams Drive co-development partnerships , ensuring products go to market with SME testing Conduct market analysis to uncover new verticals, regions, and customer segments (e.g., Private Markets) and provide valuable insights back to Kensho Strategy and Product teams Deliver high-impact product demos for high-value customers, shaping narratives that highlight Kensho's unique value Lead technical deep-dive sessions with potential partners and customers to demonstrate the underlying AI architecture and capabilities of Kensho's solutions Represent Kensho at industry conferences and events , driving lead generation and thought leadership Develop market entry strategies for new segments and geographies, including risk assessment, resource requirements, and success metrics Own and drive strategic market positioning by identifying key differentiators and utilizing position matrices to visualize Kensho's competitive standing Cross-Functional Collaboration & Messaging: Collaborate with marketing and communications teams to develop clear, compelling narratives, segment-specific messaging, and transparent value propositions that resonate with target audiences Act as a critical bridge between customer needs and Kensho's product/engineering teams , translating market insights into actionable technical requirements and contributing directly to the prioritization of AI model enhancements and feature roadmaps Work closely with sales teams to provide market intelligence, competitive positioning, and customer insights that enhance sales effectiveness Drive sales enablement , ensuring commercial teams have the resources to effectively communicate Kensho's AI value proposition What You'll Bring: 3+ Years' proven experience in a customer-facing role such as a Sales Specialist, Solutions Architect, or Product specialist, with a focus on AI or data-driven solutions with a Bachelor's degree preferred Experience qualifying and selling B2B software, data or other technology products Subject-matter expertise with content feeds, metadata, assorted document and data delivery types a plus A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities Effective communication skills working with internal colleagues and external vendor contacts at all levels Collaborative and cooperative attitude with sales and marketing teammates Goal oriented and self-motivated, with a passion for Artificial Intelligence Experience working with globally distributed teams and partners in different time zones Strong analytical skills with the ability to translate data into actionable insights A passion for and/or experience with advanced AI systems. Excellent communication and interpersonal skills Experience working with globally distributed teams and partners in different time zones Ability to work in a fast-paced, dynamic environment Analytical approach to understanding customer needs combined with creative follow-up to advance opportunities At Kensho, we pride ourselves on providing top-of-market benefits, including: Medical, Dental, and Vision insurance 100% company paid premiums Unlimited Paid Time Off 26 weeks of 100% paid Parental Leave (paternity and maternity) 401(k) plan with 6% employer matching Generous company matching on donations to non-profit charities Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences Plentiful snacks, drinks, and regularly catered lunches Dog-friendly office (CAM office) Bike sharing program memberships Compassion leave and elder care leave Mentoring and additional learning opportunities Opportunity to expand professional network and participate in conferences and events Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with an additional office location in New York City. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Description: ESSENTIAL FUNCTIONS AND DUTIES: INTERFACE DEVELOPMENT • Develop, test, document, and maintain inbound and outbound data interfaces. • Create and modify SSIS (SQL Server Integration Services) packages and processes in the Managed File Transfer system (GoAnywhere/Cleo) and business integration applications (Cleo Clarify/Azure). • Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment. • Thoroughly test all work before releasing code to production by developing and executing test plans and scenarios, including data design, tool design, and data extract/transform. • Begin participating in customer-facing development work for integrations under guidance from senior developers. T-SQL DEVELOPMENT • Understand database concepts as well as the implications of different database designs. • Develop well-designed reusable database objects with guidance as needed, including tables, stored procedures, views, triggers, and indexes. • Continually review and improve performance of stored procedures and SQL queries. • Participate in peer reviews of database and integration changes to ensure consistent methodologies are followed. SUPPORT • Monitor interface processing environments, including summary reporting/alerting, for exception events and implement changes to avoid recurrence. • Responsible for updating and closing assigned tasks/helpdesk tickets within Jira and maintaining Business Integration documentation. • Evaluate customer data issues and implement solutions to avoid recurrence; participate in 24/7 on-call rotation for all assigned interfaces. • Communicate effectively with clients to identify needs and evaluate alternative business solutions with project management. Requirements: QUALIFICATIONS & REQUIREMENTS Education & Experience • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience. • 2-4 years of experience in interface/integration development, database development, or related technical support. • Working knowledge of relational database design and data interface/integration concepts. Required Skills • Proficiency in T-SQL, including tables, stored procedures, views, triggers, and indexes. • Working knowledge of SSIS package development and Managed File Transfer or business integration platforms (GoAnywhere/Cleo, Azure). • Ability to translate functional specifications into sound technical designs. • Strong analytical and troubleshooting skills for interface and data issues. • Effective communication skills for both technical and customer-facing interactions. ESSENTIAL PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to talk or hear. The employee regularly is required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is regularly required to sit for long periods of time; on occasion may need to climb or balance; and stoop, or kneel. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision; distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment and job sites is usually low, applicable to a business office. C-TPAT Century is committed to the Customs Trade Partnership against Terrorism (C-TPAT) program. Century will take all the necessary steps to implement and enhance security throughout our global supply chain. All employees are required to immediately report any anomalies to the Century USA and Asia C-TPAT contacts. The above is a description of the current essential functions and duties and responsibilities of your position. This document in no way states or implies that these are the only duties to be performed by the employee occupying this position. At the Company's discretion, these essential functions, duties and responsibilities may be modified in the future to meet the business needs of the Company. This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship. PM22 Compensation details: 0 Yearly Salary PI9d46aeac39d1-7806
11/13/2026
Full time
Description: ESSENTIAL FUNCTIONS AND DUTIES: INTERFACE DEVELOPMENT • Develop, test, document, and maintain inbound and outbound data interfaces. • Create and modify SSIS (SQL Server Integration Services) packages and processes in the Managed File Transfer system (GoAnywhere/Cleo) and business integration applications (Cleo Clarify/Azure). • Work with Analysts and Business Users to translate functional specifications into technical designs for implementation and deployment. • Thoroughly test all work before releasing code to production by developing and executing test plans and scenarios, including data design, tool design, and data extract/transform. • Begin participating in customer-facing development work for integrations under guidance from senior developers. T-SQL DEVELOPMENT • Understand database concepts as well as the implications of different database designs. • Develop well-designed reusable database objects with guidance as needed, including tables, stored procedures, views, triggers, and indexes. • Continually review and improve performance of stored procedures and SQL queries. • Participate in peer reviews of database and integration changes to ensure consistent methodologies are followed. SUPPORT • Monitor interface processing environments, including summary reporting/alerting, for exception events and implement changes to avoid recurrence. • Responsible for updating and closing assigned tasks/helpdesk tickets within Jira and maintaining Business Integration documentation. • Evaluate customer data issues and implement solutions to avoid recurrence; participate in 24/7 on-call rotation for all assigned interfaces. • Communicate effectively with clients to identify needs and evaluate alternative business solutions with project management. Requirements: QUALIFICATIONS & REQUIREMENTS Education & Experience • Bachelor's degree in Computer Science, Information Systems, or a related field; or equivalent combination of education and experience. • 2-4 years of experience in interface/integration development, database development, or related technical support. • Working knowledge of relational database design and data interface/integration concepts. Required Skills • Proficiency in T-SQL, including tables, stored procedures, views, triggers, and indexes. • Working knowledge of SSIS package development and Managed File Transfer or business integration platforms (GoAnywhere/Cleo, Azure). • Ability to translate functional specifications into sound technical designs. • Strong analytical and troubleshooting skills for interface and data issues. • Effective communication skills for both technical and customer-facing interactions. ESSENTIAL PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to talk or hear. The employee regularly is required to stand; walk; use hands to finger, handle, or feel; and reach with hands and arms. The employee is regularly required to sit for long periods of time; on occasion may need to climb or balance; and stoop, or kneel. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision; distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment and job sites is usually low, applicable to a business office. C-TPAT Century is committed to the Customs Trade Partnership against Terrorism (C-TPAT) program. Century will take all the necessary steps to implement and enhance security throughout our global supply chain. All employees are required to immediately report any anomalies to the Century USA and Asia C-TPAT contacts. The above is a description of the current essential functions and duties and responsibilities of your position. This document in no way states or implies that these are the only duties to be performed by the employee occupying this position. At the Company's discretion, these essential functions, duties and responsibilities may be modified in the future to meet the business needs of the Company. This document does not create an employment contract, implied or otherwise, other than an "at will" employment relationship. PM22 Compensation details: 0 Yearly Salary PI9d46aeac39d1-7806
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Engineering Systems Tools team powers how eBay engineers build, test, and ship software at scale. We develop, operate, and evolve the internal platforms that thousands of developers rely on every day to deliver secure, high-quality experiences to buyers and sellers around the world. As a Senior GitHub Enterprise Platform Engineer, you will serve as a hands-on technical leader for eBay's GitHub Enterprise ecosystem. You will own the platform's reliability, security, and usability. You will develop standards and self-service experiences that help engineering teams collaborate effectively. Your work will enable confident code reviews and safe automation of workflows at scale. This is an individual contributor role with broad influence across engineering, security, product, and infrastructure teams, and a strong opportunity to improve developer efficiency across eBay. What you will accomplish: Own and evolve eBay's GitHub Enterprise platform to deliver a highly available, secure, and scalable experience for thousands of engineers. Define and implement platform standards for repositories, branching, code review, and policy enforcement that improve engineering velocity while supporting security and compliance goals. Partner closely with Identity and Security teams to strengthen access management through SSO, SCIM, and role-based controls, enabling scalable, auditable, and least-privilege access. Build automation, APIs, bots, and tools guided by rules that simplify onboarding, repository lifecycle management, and fleet-wide platform changes. Improve platform reliability by implementing monitoring, logging, alerting, incident response, and root-cause analysis across GitHub Enterprise Server and its underlying database systems. Lead upgrades, migrations, and multi-functional platform improvements while advising engineering teams on standard methodologies through documentation, consultation, and enablement. What you will bring: 8+ years of experience in software engineering, DevOps, or platform engineering in a large-scale environment, including significant hands-on work with Git-based platforms. Deep experience coordinating GitHub Enterprise Server and/or GitHub Enterprise Cloud at scale, including repository and organization management, security controls, auditability, runners, and integrations. Strong programming or scripting skills in Python, Java, or similar languages, with experience using REST/GraphQL APIs, webhooks, and infrastructure-as-code to automate platform operations. Experience integrating GitHub with CI/CD, artifact, and quality or security tooling such as GitHub Actions, Jenkins, Artifactory, SonarQube, or similar platforms. Solid understanding of identity and access management concepts including SSO, SAML, SCIM, RBAC, and least-privilege access, and how to apply them to developer collaboration platforms. Strong solving and interpersonal skills, with the ability to work across distributed systems, databases, cloud or container environments, and multi-functional teams to drive issues through resolution. Additional Details The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
11/13/2026
Full time
This job is with eBay, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all. About the team and the role: The Engineering Systems Tools team powers how eBay engineers build, test, and ship software at scale. We develop, operate, and evolve the internal platforms that thousands of developers rely on every day to deliver secure, high-quality experiences to buyers and sellers around the world. As a Senior GitHub Enterprise Platform Engineer, you will serve as a hands-on technical leader for eBay's GitHub Enterprise ecosystem. You will own the platform's reliability, security, and usability. You will develop standards and self-service experiences that help engineering teams collaborate effectively. Your work will enable confident code reviews and safe automation of workflows at scale. This is an individual contributor role with broad influence across engineering, security, product, and infrastructure teams, and a strong opportunity to improve developer efficiency across eBay. What you will accomplish: Own and evolve eBay's GitHub Enterprise platform to deliver a highly available, secure, and scalable experience for thousands of engineers. Define and implement platform standards for repositories, branching, code review, and policy enforcement that improve engineering velocity while supporting security and compliance goals. Partner closely with Identity and Security teams to strengthen access management through SSO, SCIM, and role-based controls, enabling scalable, auditable, and least-privilege access. Build automation, APIs, bots, and tools guided by rules that simplify onboarding, repository lifecycle management, and fleet-wide platform changes. Improve platform reliability by implementing monitoring, logging, alerting, incident response, and root-cause analysis across GitHub Enterprise Server and its underlying database systems. Lead upgrades, migrations, and multi-functional platform improvements while advising engineering teams on standard methodologies through documentation, consultation, and enablement. What you will bring: 8+ years of experience in software engineering, DevOps, or platform engineering in a large-scale environment, including significant hands-on work with Git-based platforms. Deep experience coordinating GitHub Enterprise Server and/or GitHub Enterprise Cloud at scale, including repository and organization management, security controls, auditability, runners, and integrations. Strong programming or scripting skills in Python, Java, or similar languages, with experience using REST/GraphQL APIs, webhooks, and infrastructure-as-code to automate platform operations. Experience integrating GitHub with CI/CD, artifact, and quality or security tooling such as GitHub Actions, Jenkins, Artifactory, SonarQube, or similar platforms. Solid understanding of identity and access management concepts including SSO, SAML, SCIM, RBAC, and least-privilege access, and how to apply them to developer collaboration platforms. Strong solving and interpersonal skills, with the ability to work across distributed systems, databases, cloud or container environments, and multi-functional teams to drive issues through resolution. Additional Details The base pay range for this position is expected in the range below: $196,800 - $262,700 Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at . We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice , Privacy Center and AI Hiring Guideline .
DTS is looking for Business Analyst (Procurement / Vendor Management) for our client position based in Detroit, MI Description: Engagement Description - Support the Vendor Management (VM) team as Enterprise Procurement progresses from 2026 capability building into the 2027 Procurement Transformation roadmap. The contractor will help convert current-state VM processes, data, controls, reporting, automation, and AI-enabled use cases into documented requirements and implementation-ready artifacts for the future operating model. Act as a hands-on bridge across Vendor Management, Procurement business stakeholders, analytics, technology, and change activities. The resource should move between business analysis, process redesign, data/reporting, UAT, documentation, training, and practical AI/automation use cases rather than operate as a narrowly focused developer. Expected work includes current/future-state process mapping; requirements and user stories; gap/root-cause analysis; control and risk documentation; data/KPI analysis; Power BI/Excel reporting; system/workflow requirements; test scenarios/UAT coordination; SOPs/job aids; training/knowledge transfer; and evaluation of responsible AI or automation opportunities. Success is defined by high-quality, reusable artifacts that accelerate transformation while preserving controls, data quality, stakeholder alignment, and knowledge transfer to the internal VM team. Top 3 Required Skills/Experience - • 5+ years of business/systems analysis or process transformation experience, including requirements gathering, current/future-state process mapping, root-cause analysis, process redesign, technical documentation, UAT, and cross-functional implementation support for complex business processes. • 3+ years of procurement, vendor/supplier management, source-to-pay, contract lifecycle, or adjacent supply-chain experience. Strong preference for hands-on Oracle Cloud Procurement and/or CLM/vendor management platform experience and ability to translate VM needs into system and data requirements. • Demonstrated analytics and AI-enabled process improvement capability: advanced Excel plus Power BI or Tableau, KPI/reporting analysis, and practical use of enterprise generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or Gemini with appropriate human review and data/privacy controls. Required Skills/Experience - The rest of the required skills/experience. Include: • Facilitate stakeholder interviews/workshops and convert needs into functional requirements, process maps, acceptance criteria, decision logs, RACI inputs, and implementation documentation. • Support technology/transformation initiatives through design, integration/deployment readiness, testing, defect triage, UAT, change management, and post-implementation knowledge transfer. • Strong process optimization skills: root-cause analysis, control-point identification, exception/handoff analysis, and measurable improvement recommendations. • Working knowledge of supplier lifecycle activities including onboarding, risk/compliance, contract administration, supplier performance, data maintenance, monitoring, and issue resolution. • Oracle Cloud or comparable enterprise procurement/ERP experience; understand dependencies across procurement, contracts, master data, requisition-to-pay, and reporting. • Contract lifecycle management concepts/tools; document business rules, metadata, workflow requirements, alerts, approvals, and reporting needs. • Advanced Excel and working proficiency in Power BI or Tableau; profile data, analyze trends, validate data quality, develop/refine KPIs, and translate analysis into recommendations. • Practical generative AI and AI-enabled workflow experience, including validation, human-in-the-loop review, confidentiality, privacy, and responsible-use considerations. • Assess risk and controls in redesigned/automated processes, including data privacy, cybersecurity, auditability, segregation of duties, and approval controls. • Excellent written/verbal communication; produce executive summaries plus detailed SOPs, requirements, test scripts, job aids, and training materials. • Work independently in ambiguity, manage multiple priorities, surface risks early, and collaborate with business SMEs, technology teams, suppliers, and leaders. • Working understanding of cloud/SaaS concepts and integrations; deep cloud engineering expertise is not required. Preferred Skills/Experience - Optional but preferred skills/experience. Include: • Healthcare payer, health insurance, or another highly regulated industry. • AI/ML or generative-AI implementation in procurement, operations, contracting, supplier management, analytics, or knowledge management. • Microsoft Power Platform (Power Automate/Power Apps) and/or UiPath/RPA. • Modern procurement platforms such as Zip, Ironclad, Beeline, or comparable intake/orchestration, CLM, and contingent-labor solutions. • Supplier-performance, operational KPI, procurement, contract, or risk dashboards in Power BI. • Lean, Six Sigma, BPMN, SIPOC, Agile, Prosci/ADKAR, or equivalent process/change experience. • Procurement master data, supplier analytics, contract analytics, data governance, and data-quality controls. • Training development, working-session facilitation, and knowledge transfer to business users.
11/13/2026
Full time
DTS is looking for Business Analyst (Procurement / Vendor Management) for our client position based in Detroit, MI Description: Engagement Description - Support the Vendor Management (VM) team as Enterprise Procurement progresses from 2026 capability building into the 2027 Procurement Transformation roadmap. The contractor will help convert current-state VM processes, data, controls, reporting, automation, and AI-enabled use cases into documented requirements and implementation-ready artifacts for the future operating model. Act as a hands-on bridge across Vendor Management, Procurement business stakeholders, analytics, technology, and change activities. The resource should move between business analysis, process redesign, data/reporting, UAT, documentation, training, and practical AI/automation use cases rather than operate as a narrowly focused developer. Expected work includes current/future-state process mapping; requirements and user stories; gap/root-cause analysis; control and risk documentation; data/KPI analysis; Power BI/Excel reporting; system/workflow requirements; test scenarios/UAT coordination; SOPs/job aids; training/knowledge transfer; and evaluation of responsible AI or automation opportunities. Success is defined by high-quality, reusable artifacts that accelerate transformation while preserving controls, data quality, stakeholder alignment, and knowledge transfer to the internal VM team. Top 3 Required Skills/Experience - • 5+ years of business/systems analysis or process transformation experience, including requirements gathering, current/future-state process mapping, root-cause analysis, process redesign, technical documentation, UAT, and cross-functional implementation support for complex business processes. • 3+ years of procurement, vendor/supplier management, source-to-pay, contract lifecycle, or adjacent supply-chain experience. Strong preference for hands-on Oracle Cloud Procurement and/or CLM/vendor management platform experience and ability to translate VM needs into system and data requirements. • Demonstrated analytics and AI-enabled process improvement capability: advanced Excel plus Power BI or Tableau, KPI/reporting analysis, and practical use of enterprise generative AI tools such as Microsoft Copilot, ChatGPT, Claude, or Gemini with appropriate human review and data/privacy controls. Required Skills/Experience - The rest of the required skills/experience. Include: • Facilitate stakeholder interviews/workshops and convert needs into functional requirements, process maps, acceptance criteria, decision logs, RACI inputs, and implementation documentation. • Support technology/transformation initiatives through design, integration/deployment readiness, testing, defect triage, UAT, change management, and post-implementation knowledge transfer. • Strong process optimization skills: root-cause analysis, control-point identification, exception/handoff analysis, and measurable improvement recommendations. • Working knowledge of supplier lifecycle activities including onboarding, risk/compliance, contract administration, supplier performance, data maintenance, monitoring, and issue resolution. • Oracle Cloud or comparable enterprise procurement/ERP experience; understand dependencies across procurement, contracts, master data, requisition-to-pay, and reporting. • Contract lifecycle management concepts/tools; document business rules, metadata, workflow requirements, alerts, approvals, and reporting needs. • Advanced Excel and working proficiency in Power BI or Tableau; profile data, analyze trends, validate data quality, develop/refine KPIs, and translate analysis into recommendations. • Practical generative AI and AI-enabled workflow experience, including validation, human-in-the-loop review, confidentiality, privacy, and responsible-use considerations. • Assess risk and controls in redesigned/automated processes, including data privacy, cybersecurity, auditability, segregation of duties, and approval controls. • Excellent written/verbal communication; produce executive summaries plus detailed SOPs, requirements, test scripts, job aids, and training materials. • Work independently in ambiguity, manage multiple priorities, surface risks early, and collaborate with business SMEs, technology teams, suppliers, and leaders. • Working understanding of cloud/SaaS concepts and integrations; deep cloud engineering expertise is not required. Preferred Skills/Experience - Optional but preferred skills/experience. Include: • Healthcare payer, health insurance, or another highly regulated industry. • AI/ML or generative-AI implementation in procurement, operations, contracting, supplier management, analytics, or knowledge management. • Microsoft Power Platform (Power Automate/Power Apps) and/or UiPath/RPA. • Modern procurement platforms such as Zip, Ironclad, Beeline, or comparable intake/orchestration, CLM, and contingent-labor solutions. • Supplier-performance, operational KPI, procurement, contract, or risk dashboards in Power BI. • Lean, Six Sigma, BPMN, SIPOC, Agile, Prosci/ADKAR, or equivalent process/change experience. • Procurement master data, supplier analytics, contract analytics, data governance, and data-quality controls. • Training development, working-session facilitation, and knowledge transfer to business users.
Principal Java & GCP Solution Architect Principal Java and GCP Solution Architect who can bring both deep technical expertise and thought leadership to complex client engagements. This role requires a hands-on architect who can design modern Java microservices, shape cloud-native strategy on GCP, guide engineering teams, and serve as a trusted technical voice with senior client stakeholders. This is not a documentation-only architecture position-the successful candidate must remain close to implementation and be able to turn architectural direction into practical delivery outcomes. Join our growing Detroit-area team in a strategic Principal Java & GCP Solution Architect role. You'll work a hybrid / onsite /remote combin while remaining available for onsite collaboration as needed with clients, delivery teams, and technical leadership across the local Michigan area. What You Will Do Lead the architecture, design, and implementation of modern Java-based applications using cloud-native and microservices patterns. Translate business requirements into practical architectural blueprints aligned with enterprise standards and long-term strategy. Provide technical thought leadership across ongoing and future client engagements. Assess existing application landscapes and recommend modernization, migration, and optimization strategies. Design secure, scalable, resilient, observable, and high-performing distributed systems. Define application, integration, API, data, deployment, and operational architecture. Establish API-first strategies using REST, GraphQL, gRPC, and event-driven patterns. Design asynchronous and event-driven solutions using technologies such as Kafka or RabbitMQ. Guide engineering teams in the use of Java 11+, Spring Boot, microservices, containers, Kubernetes, and cloud-native design patterns. Lead architecture reviews, technical assessments, proofs of concept, and technology evaluations. Establish reusable architecture standards, reference patterns, engineering guidelines, and technical governance. Collaborate with developers, DevOps engineers, QA teams, security teams, product leaders, and business stakeholders. Provide technical guidance throughout design, development, testing, deployment, and production support. Guide containerization and orchestration strategies using Docker and Kubernetes, preferably Google Kubernetes Engine. Define CI/CD, GitOps, and infrastructure-as-code approaches using tools such as Jenkins, ArgoCD, Git, and Terraform. Design observability frameworks covering logs, metrics, traces, alerts, dashboards, and production diagnostics. Evaluate emerging technologies and determine where they can provide practical business and engineering value. Mentor senior developers, technical leads, and architects. Present architecture recommendations, trade-offs, risks, and decisions to senior technical and business stakeholders. Identify technical risks, dependencies, architectural gaps, and remediation strategies. Ensure architectural decisions support maintainability, security, performance, scalability, reliability, and cost efficiency. Required Qualifications Extensive experience designing and delivering enterprise Java applications. Deep expertise in Java 11 or later and Spring Boot. Proven experience architecting microservices and distributed systems. Strong production-level architecture experience with Google Cloud Platform. Experience designing and deploying applications using GCP cloud-native services. Strong hands-on knowledge of Docker and Kubernetes. Experience with Google Kubernetes Engine or comparable enterprise Kubernetes platforms. Strong understanding of RESTful APIs and API-first architecture. Experience with one or more additional integration patterns or technologies: GraphQL gRPC Event-driven architecture Asynchronous messaging Experience with Kafka, RabbitMQ, or comparable messaging technologies. Strong knowledge of scalability, resilience, fault tolerance, performance, security, and observability. Experience with SQL and NoSQL databases, including distributed-system data modeling. Experience with MongoDB, Cassandra, or comparable NoSQL platforms. Knowledge of API gateways and service-mesh technologies. Experience with Istio, Linkerd, or comparable service-mesh platforms. Experience with CI/CD and DevOps toolchains. Working knowledge of Jenkins, GitOps, ArgoCD, Terraform, or comparable tools. Strong experience designing logging, monitoring, metrics, and distributed-tracing solutions. Experience with one or more of the following: OpenTelemetry Prometheus Grafana ELK Stack Dynatrace Jaeger Zipkin Proven architecture-governance and technical-leadership experience. Strong client-facing communication and presentation skills. Ability to explain complex technical concepts, options, risks, and trade-offs to both technical and nontechnical audiences. Demonstrated ability to influence technical strategy and guide teams without relying solely on formal authority. Preferred Qualifications Experience leading complex cloud-modernization or monolith-to-microservices programs. Experience supporting multiple enterprise or client engagements. Consulting or systems-integration experience. GCP Professional Cloud Architect certification. Experience establishing enterprise architecture standards or cloud-native reference architectures. Experience designing highly available, high-volume, or mission-critical platforms. Experience conducting architecture assessments and technology-selection initiatives. Experience mentoring architects and senior engineers. Public speaking, technical writing, internal technology leadership, or architecture-community participation. Ideal Candidate The ideal candidate is more than a senior Java developer who has moved into architecture. You have personally owned architecture decisions for complex enterprise platforms and can explain how those decisions improved business, delivery, reliability, or operational outcomes. You remain technically close enough to implementation to guide developers, review designs, evaluate code-level implications, troubleshoot difficult issues, and challenge assumptions. At the same time, you are comfortable presenting to senior client stakeholders and influencing long-term technology strategy. You know how to introduce modern technologies thoughtfully. You evaluate business value, operational complexity, risk, scalability, and long-term maintainability rather than adopting tools simply because they are new. What Success Looks Like Success in this role includes: Building credibility as a trusted technical advisor Improving the quality and consistency of architectural decisions Establishing reusable Java and GCP architecture patterns Helping teams deliver scalable and reliable cloud-native solutions Identifying architecture risks before they become delivery or production issues Strengthening engineering practices across client engagements Contributing technical expertise that expands and deepens client relationships What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
11/13/2026
Full time
Principal Java & GCP Solution Architect Principal Java and GCP Solution Architect who can bring both deep technical expertise and thought leadership to complex client engagements. This role requires a hands-on architect who can design modern Java microservices, shape cloud-native strategy on GCP, guide engineering teams, and serve as a trusted technical voice with senior client stakeholders. This is not a documentation-only architecture position-the successful candidate must remain close to implementation and be able to turn architectural direction into practical delivery outcomes. Join our growing Detroit-area team in a strategic Principal Java & GCP Solution Architect role. You'll work a hybrid / onsite /remote combin while remaining available for onsite collaboration as needed with clients, delivery teams, and technical leadership across the local Michigan area. What You Will Do Lead the architecture, design, and implementation of modern Java-based applications using cloud-native and microservices patterns. Translate business requirements into practical architectural blueprints aligned with enterprise standards and long-term strategy. Provide technical thought leadership across ongoing and future client engagements. Assess existing application landscapes and recommend modernization, migration, and optimization strategies. Design secure, scalable, resilient, observable, and high-performing distributed systems. Define application, integration, API, data, deployment, and operational architecture. Establish API-first strategies using REST, GraphQL, gRPC, and event-driven patterns. Design asynchronous and event-driven solutions using technologies such as Kafka or RabbitMQ. Guide engineering teams in the use of Java 11+, Spring Boot, microservices, containers, Kubernetes, and cloud-native design patterns. Lead architecture reviews, technical assessments, proofs of concept, and technology evaluations. Establish reusable architecture standards, reference patterns, engineering guidelines, and technical governance. Collaborate with developers, DevOps engineers, QA teams, security teams, product leaders, and business stakeholders. Provide technical guidance throughout design, development, testing, deployment, and production support. Guide containerization and orchestration strategies using Docker and Kubernetes, preferably Google Kubernetes Engine. Define CI/CD, GitOps, and infrastructure-as-code approaches using tools such as Jenkins, ArgoCD, Git, and Terraform. Design observability frameworks covering logs, metrics, traces, alerts, dashboards, and production diagnostics. Evaluate emerging technologies and determine where they can provide practical business and engineering value. Mentor senior developers, technical leads, and architects. Present architecture recommendations, trade-offs, risks, and decisions to senior technical and business stakeholders. Identify technical risks, dependencies, architectural gaps, and remediation strategies. Ensure architectural decisions support maintainability, security, performance, scalability, reliability, and cost efficiency. Required Qualifications Extensive experience designing and delivering enterprise Java applications. Deep expertise in Java 11 or later and Spring Boot. Proven experience architecting microservices and distributed systems. Strong production-level architecture experience with Google Cloud Platform. Experience designing and deploying applications using GCP cloud-native services. Strong hands-on knowledge of Docker and Kubernetes. Experience with Google Kubernetes Engine or comparable enterprise Kubernetes platforms. Strong understanding of RESTful APIs and API-first architecture. Experience with one or more additional integration patterns or technologies: GraphQL gRPC Event-driven architecture Asynchronous messaging Experience with Kafka, RabbitMQ, or comparable messaging technologies. Strong knowledge of scalability, resilience, fault tolerance, performance, security, and observability. Experience with SQL and NoSQL databases, including distributed-system data modeling. Experience with MongoDB, Cassandra, or comparable NoSQL platforms. Knowledge of API gateways and service-mesh technologies. Experience with Istio, Linkerd, or comparable service-mesh platforms. Experience with CI/CD and DevOps toolchains. Working knowledge of Jenkins, GitOps, ArgoCD, Terraform, or comparable tools. Strong experience designing logging, monitoring, metrics, and distributed-tracing solutions. Experience with one or more of the following: OpenTelemetry Prometheus Grafana ELK Stack Dynatrace Jaeger Zipkin Proven architecture-governance and technical-leadership experience. Strong client-facing communication and presentation skills. Ability to explain complex technical concepts, options, risks, and trade-offs to both technical and nontechnical audiences. Demonstrated ability to influence technical strategy and guide teams without relying solely on formal authority. Preferred Qualifications Experience leading complex cloud-modernization or monolith-to-microservices programs. Experience supporting multiple enterprise or client engagements. Consulting or systems-integration experience. GCP Professional Cloud Architect certification. Experience establishing enterprise architecture standards or cloud-native reference architectures. Experience designing highly available, high-volume, or mission-critical platforms. Experience conducting architecture assessments and technology-selection initiatives. Experience mentoring architects and senior engineers. Public speaking, technical writing, internal technology leadership, or architecture-community participation. Ideal Candidate The ideal candidate is more than a senior Java developer who has moved into architecture. You have personally owned architecture decisions for complex enterprise platforms and can explain how those decisions improved business, delivery, reliability, or operational outcomes. You remain technically close enough to implementation to guide developers, review designs, evaluate code-level implications, troubleshoot difficult issues, and challenge assumptions. At the same time, you are comfortable presenting to senior client stakeholders and influencing long-term technology strategy. You know how to introduce modern technologies thoughtfully. You evaluate business value, operational complexity, risk, scalability, and long-term maintainability rather than adopting tools simply because they are new. What Success Looks Like Success in this role includes: Building credibility as a trusted technical advisor Improving the quality and consistency of architectural decisions Establishing reusable Java and GCP architecture patterns Helping teams deliver scalable and reliable cloud-native solutions Identifying architecture risks before they become delivery or production issues Strengthening engineering practices across client engagements Contributing technical expertise that expands and deepens client relationships What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
Pay Range: $55.00hr - $60.00hr Job Overview: Provide L1/L2 production support within an enterprise SAP AMS environment. Manage assigned incidents, service requests, problems, and operational tasks through resolution or structured escalation. Work with ITSM tools such as ServiceNow for ticket updates, assignment, tracking, and closure. Provide clear, concise, complete, and timely communication to business users and technical stakeholders. Participate in shift handovers, operational reviews, CAB activities, and major-incident calls as applicable. Maintain runbooks, knowledge articles, known-error records, and support documentation. Support planned activities, releases, hypercare, month-end processing, and disaster-recovery events as rostered. Follow approved access-control, production-change, Firefighter, and segregation-of-duties procedures. Identify recurring issues and recommend automation, incident-reduction, and process-improvement opportunities. Coordinate with internal L3 teams, infrastructure teams, middleware teams, security teams, and external service providers where necessary. Work in a shift-based production-support environment, including on-call support where required. The SAP Integration/BTP Support Consultant will provide L1/L2 operational support for integrations connecting SAP applications with internal, external, and plant systems. The role will cover interface monitoring, failure analysis, reprocessing, and coordination with application and middleware teams. Key Responsibilities: Monitor integration flows, APIs, IDocs, message queues, and scheduled interface jobs. Support SAP BTP Integration Suite or SAP Cloud Integration operational activities. Triage incidents and determine whether failures originate in SAP applications, middleware, source or target systems, data or mapping, or network/infrastructure. Analyze payloads, message statuses, application logs, interface traces, and error records. Reprocess failed IDocs and integration messages after resolving eligible data or operational issues. Investigate B2B, EDI, API, and batch-based interface failures. Coordinate with application, middleware, infrastructure, network, and external-provider teams. Conduct root-cause analysis for recurring interface failures. Recommend improvements to monitoring, alerting, retry mechanisms, and operational recovery. Validate integration fixes in non-production environments. Support regression testing following technical or functional corrections. Prepare structured technical handovers containing logs, timestamps, message IDs, payload references, reproduction steps, and analysis. Escalate new-interface development, major mapping changes, and integration redesign to the appropriate development team. Maintain interface inventories, ownership matrices, runbooks, and recovery procedures. Required Skills and Experience: Hands-on experience with SAP BTP Integration Suite or SAP Cloud Integration. Experience with APIs, IDocs, XML/JSON payloads, and message monitoring. Knowledge of Apigee, EDI/B2B, or comparable integration technologies is desirable. Ability to analyze integration logs and diagnose cross-system failures. Understanding of SAP functional processes and interface dependencies. Experience with ITSM, incident management, root-cause analysis (RCA), and production change processes. Strong technical documentation and coordination skills. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $55.00hr - $60.00hr Job Overview: Provide L1/L2 production support within an enterprise SAP AMS environment. Manage assigned incidents, service requests, problems, and operational tasks through resolution or structured escalation. Work with ITSM tools such as ServiceNow for ticket updates, assignment, tracking, and closure. Provide clear, concise, complete, and timely communication to business users and technical stakeholders. Participate in shift handovers, operational reviews, CAB activities, and major-incident calls as applicable. Maintain runbooks, knowledge articles, known-error records, and support documentation. Support planned activities, releases, hypercare, month-end processing, and disaster-recovery events as rostered. Follow approved access-control, production-change, Firefighter, and segregation-of-duties procedures. Identify recurring issues and recommend automation, incident-reduction, and process-improvement opportunities. Coordinate with internal L3 teams, infrastructure teams, middleware teams, security teams, and external service providers where necessary. Work in a shift-based production-support environment, including on-call support where required. The SAP Integration/BTP Support Consultant will provide L1/L2 operational support for integrations connecting SAP applications with internal, external, and plant systems. The role will cover interface monitoring, failure analysis, reprocessing, and coordination with application and middleware teams. Key Responsibilities: Monitor integration flows, APIs, IDocs, message queues, and scheduled interface jobs. Support SAP BTP Integration Suite or SAP Cloud Integration operational activities. Triage incidents and determine whether failures originate in SAP applications, middleware, source or target systems, data or mapping, or network/infrastructure. Analyze payloads, message statuses, application logs, interface traces, and error records. Reprocess failed IDocs and integration messages after resolving eligible data or operational issues. Investigate B2B, EDI, API, and batch-based interface failures. Coordinate with application, middleware, infrastructure, network, and external-provider teams. Conduct root-cause analysis for recurring interface failures. Recommend improvements to monitoring, alerting, retry mechanisms, and operational recovery. Validate integration fixes in non-production environments. Support regression testing following technical or functional corrections. Prepare structured technical handovers containing logs, timestamps, message IDs, payload references, reproduction steps, and analysis. Escalate new-interface development, major mapping changes, and integration redesign to the appropriate development team. Maintain interface inventories, ownership matrices, runbooks, and recovery procedures. Required Skills and Experience: Hands-on experience with SAP BTP Integration Suite or SAP Cloud Integration. Experience with APIs, IDocs, XML/JSON payloads, and message monitoring. Knowledge of Apigee, EDI/B2B, or comparable integration technologies is desirable. Ability to analyze integration logs and diagnose cross-system failures. Understanding of SAP functional processes and interface dependencies. Experience with ITSM, incident management, root-cause analysis (RCA), and production change processes. Strong technical documentation and coordination skills. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Pay Range: $55.00hr - $60.00hr Job Overview: Provide L1/L2 production support within an enterprise SAP AMS environment. Manage assigned incidents, service requests, problems, and operational tasks through resolution or structured escalation. Work with ITSM tools such as ServiceNow for ticket updates, assignment, tracking, and closure. Provide clear, concise, complete, and timely communication to business users and technical stakeholders. Participate in shift handovers, operational reviews, CAB activities, and major-incident calls as applicable. Maintain runbooks, knowledge articles, known-error records, and support documentation. Support planned activities, releases, hypercare, month-end processing, and disaster-recovery events as rostered. Follow approved access-control, production-change, Firefighter, and segregation-of-duties procedures. Identify recurring issues and recommend automation, incident-reduction, and process-improvement opportunities. Coordinate with internal L3 teams, infrastructure teams, middleware teams, security teams, and external service providers where necessary. Work in a shift-based production-support environment, including on-call support where required. The SAP Integration/BTP Support Consultant will provide L1/L2 operational support for integrations connecting SAP applications with internal, external, and plant systems. The role will cover interface monitoring, failure analysis, reprocessing, and coordination with application and middleware teams. Key Responsibilities: Monitor integration flows, APIs, IDocs, message queues, and scheduled interface jobs. Support SAP BTP Integration Suite or SAP Cloud Integration operational activities. Triage incidents and determine whether failures originate in SAP applications, middleware, source or target systems, data or mapping, or network/infrastructure. Analyze payloads, message statuses, application logs, interface traces, and error records. Reprocess failed IDocs and integration messages after resolving eligible data or operational issues. Investigate B2B, EDI, API, and batch-based interface failures. Coordinate with application, middleware, infrastructure, network, and external-provider teams. Conduct root-cause analysis for recurring interface failures. Recommend improvements to monitoring, alerting, retry mechanisms, and operational recovery. Validate integration fixes in non-production environments. Support regression testing following technical or functional corrections. Prepare structured technical handovers containing logs, timestamps, message IDs, payload references, reproduction steps, and analysis. Escalate new-interface development, major mapping changes, and integration redesign to the appropriate development team. Maintain interface inventories, ownership matrices, runbooks, and recovery procedures. Required Skills and Experience: Hands-on experience with SAP BTP Integration Suite or SAP Cloud Integration. Experience with APIs, IDocs, XML/JSON payloads, and message monitoring. Knowledge of Apigee, EDI/B2B, or comparable integration technologies is desirable. Ability to analyze integration logs and diagnose cross-system failures. Understanding of SAP functional processes and interface dependencies. Experience with ITSM, incident management, root-cause analysis (RCA), and production change processes. Strong technical documentation and coordination skills. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/13/2026
Full time
Pay Range: $55.00hr - $60.00hr Job Overview: Provide L1/L2 production support within an enterprise SAP AMS environment. Manage assigned incidents, service requests, problems, and operational tasks through resolution or structured escalation. Work with ITSM tools such as ServiceNow for ticket updates, assignment, tracking, and closure. Provide clear, concise, complete, and timely communication to business users and technical stakeholders. Participate in shift handovers, operational reviews, CAB activities, and major-incident calls as applicable. Maintain runbooks, knowledge articles, known-error records, and support documentation. Support planned activities, releases, hypercare, month-end processing, and disaster-recovery events as rostered. Follow approved access-control, production-change, Firefighter, and segregation-of-duties procedures. Identify recurring issues and recommend automation, incident-reduction, and process-improvement opportunities. Coordinate with internal L3 teams, infrastructure teams, middleware teams, security teams, and external service providers where necessary. Work in a shift-based production-support environment, including on-call support where required. The SAP Integration/BTP Support Consultant will provide L1/L2 operational support for integrations connecting SAP applications with internal, external, and plant systems. The role will cover interface monitoring, failure analysis, reprocessing, and coordination with application and middleware teams. Key Responsibilities: Monitor integration flows, APIs, IDocs, message queues, and scheduled interface jobs. Support SAP BTP Integration Suite or SAP Cloud Integration operational activities. Triage incidents and determine whether failures originate in SAP applications, middleware, source or target systems, data or mapping, or network/infrastructure. Analyze payloads, message statuses, application logs, interface traces, and error records. Reprocess failed IDocs and integration messages after resolving eligible data or operational issues. Investigate B2B, EDI, API, and batch-based interface failures. Coordinate with application, middleware, infrastructure, network, and external-provider teams. Conduct root-cause analysis for recurring interface failures. Recommend improvements to monitoring, alerting, retry mechanisms, and operational recovery. Validate integration fixes in non-production environments. Support regression testing following technical or functional corrections. Prepare structured technical handovers containing logs, timestamps, message IDs, payload references, reproduction steps, and analysis. Escalate new-interface development, major mapping changes, and integration redesign to the appropriate development team. Maintain interface inventories, ownership matrices, runbooks, and recovery procedures. Required Skills and Experience: Hands-on experience with SAP BTP Integration Suite or SAP Cloud Integration. Experience with APIs, IDocs, XML/JSON payloads, and message monitoring. Knowledge of Apigee, EDI/B2B, or comparable integration technologies is desirable. Ability to analyze integration logs and diagnose cross-system failures. Understanding of SAP functional processes and interface dependencies. Experience with ITSM, incident management, root-cause analysis (RCA), and production change processes. Strong technical documentation and coordination skills. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Larson Network Services, LLC
Saint Louis, Missouri
Description: Larson Financial Holdings LLC is seeking a proven Senior Cybersecurity Engineer to build and drive cybersecurity initiatives with an ownership mindset. The Senior Cybersecurity Engineer plays a critical role in protecting the organization's information systems, data and infrastructure. The role builds and improves security tools, automation and policies, including using AI tools to connect security platforms and produce monitoring dashboards. It also supports the day-to-day administration of cybersecurity operations: threat monitoring, incident response, compliance initiatives and security awareness. The role researches security improvements and implements them. As a member of the Larson Technology Services team, the Senior Cybersecurity Engineer also contributes to broader technology operations as needed, in a collaborative environment where team members support one another across technology functions to keep our services reliable and effective. Key responsibilities: Security engineering and tool development Design and build security controls across endpoint, identity, network and cloud environments, including Microsoft Azure and Entra ID. Research and evaluate new security tools; develop recommendations, business cases, proofs of concept and vendor assessments; and deploy and configure the tools selected. Build detection logic, automation and response playbooks. Perform threat modeling and security reviews for new systems, changes and projects, and recommend mitigations. Develop and improve security baselines and hardening standards. Integrate security tooling to reduce manual work, such as automating phishing triage, phishing campaign reporting and vulnerability ticketing. Use AI tools, APIs and low-code automation to connect security and SaaS platforms (for example EDR, vulnerability management, phishing simulation, Microsoft 365, Entra ID and ticketing) and consolidate their data. Build and maintain dashboards and reports for security monitoring, including vulnerability, phishing, incident and compliance metrics, using AI-assisted development and visualization tools. Use AI tools in line with organizational policy and data-handling requirements and recommend safeguards for AI use within the security environment. Cybersecurity operations Monitor, investigate and respond to security alerts and incidents, including phishing emails, malware alerts and unauthorized access attempts. Administer and maintain security tools, including endpoint detection and response (EDR) and vulnerability scanners. Remediate security incidents, conduct follow-up analysis, document findings and actions taken, and recommend process improvements based on lessons learned. Manage and respond to phishing reports submitted by staff; coordinate containment and communication; and tune detections and build automation to reduce false positives and manual triage. Perform regular vulnerability assessments, and work with system owners and end users to prioritize and remediate identified risks. Contribute to the planning and rollout of new cybersecurity objectives, tools and initiatives as the security program evolves. Security awareness and phishing simulations Plan and run recurring phishing simulation campaigns, including setup, scheduling and distribution. Analyze campaign results and identify departments or individuals who need additional training or follow-up. Develop and deliver security awareness communications, training materials and coaching based on simulation outcomes and leadership direction. Maintain records of simulation results and awareness training completion to support reporting and continuous improvement. Recommend improvements to the security awareness program, including training content, success metrics and risk-based targeting. Compliance and risk management Support day-to-day efforts to achieve and maintain compliance with applicable security controls. Conduct periodic control assessments, gather evidence and work with stakeholders to close compliance gaps. Draft and maintain security policies, standards, procedures, risk assessments and control inventories. Map security controls to applicable frameworks and recommend control improvements. Conduct risk assessments and recommend remediation priorities. Support internal and external audits and regulatory examinations by preparing evidence packages and responding to inquiries. Identify emerging risks and recommend policy or control improvements. Technology operations and service support Provide systems administration support as assigned, including user account management, access provisioning, Conditional Access policies and endpoint configuration. Assist with service desk escalations that require elevated access or advanced troubleshooting. Collaborate with Larson Technology Services colleagues on infrastructure projects, applying a security-first perspective to system design and change management. Requirements: Bachelor's degree in Cybersecurity, Computer Science, Information Systems or a related field, or equivalent professional experience. 8+ years of hands-on cybersecurity engineering experience, including at least 3 years at a senior or specialist level. Proven experience owning security compliance work aligned to frameworks such as NIST CSF, NIST SP 800-53, ISO 27001, SOC 2 or CIS Controls, including audit preparation and evidence management. Deep experience architecting, deploying and optimizing security tools such as EDR/XDR and vulnerability management platforms, including tuning, policy design and integration across the environment. Advanced proficiency building automation and tooling with scripting languages such as PowerShell and Python to reduce manual effort and improve security operations. Strong experience with SIEM and detection engineering, including developing and tuning detection rules, correlating data sources and mapping detections to frameworks such as MITRE ATT&CK. Experience applying AI tools and APIs to connect systems, automate workflows and build dashboards or reports, with sound judgment about data handling and risk. Extensive hands-on experience designing and securing Microsoft Azure and Entra ID environments, including Conditional Access, identity governance, privileged access management and cloud security posture. Experience authoring and maintaining security policies, standards and procedures, and driving their adoption across business and technical teams. Experience running phishing simulation platforms and security awareness programs, including measuring effectiveness and reporting on outcomes. Demonstrated ability to lead incident investigations and response, and to communicate findings and risk clearly to technical teams, executives and non-technical audiences. Ability to evaluate security solutions, build business cases and present well-supported recommendations to management and leadership. Ability to manage multiple competing priorities independently, balancing strategic projects with operational responsibilities in a fast-paced environment. Experience mentoring and providing technical guidance to technology staff. Preferred qualifications: Relevant certifications, such as CISSP, CISM, CISA, GCIH, CompTIA Security+, CEH, or Microsoft SC-200 or AZ-500. Experience with security architecture reviews, risk assessments, or third-party and vendor risk management. Experience with infrastructure as code or DevSecOps practices. Familiarity with financial services regulatory requirements, such as SEC and FINRA cybersecurity expectations, Regulation S-P and GLBA. Larson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other character protected by law. PI961c8e15715a-5088
11/13/2026
Full time
Description: Larson Financial Holdings LLC is seeking a proven Senior Cybersecurity Engineer to build and drive cybersecurity initiatives with an ownership mindset. The Senior Cybersecurity Engineer plays a critical role in protecting the organization's information systems, data and infrastructure. The role builds and improves security tools, automation and policies, including using AI tools to connect security platforms and produce monitoring dashboards. It also supports the day-to-day administration of cybersecurity operations: threat monitoring, incident response, compliance initiatives and security awareness. The role researches security improvements and implements them. As a member of the Larson Technology Services team, the Senior Cybersecurity Engineer also contributes to broader technology operations as needed, in a collaborative environment where team members support one another across technology functions to keep our services reliable and effective. Key responsibilities: Security engineering and tool development Design and build security controls across endpoint, identity, network and cloud environments, including Microsoft Azure and Entra ID. Research and evaluate new security tools; develop recommendations, business cases, proofs of concept and vendor assessments; and deploy and configure the tools selected. Build detection logic, automation and response playbooks. Perform threat modeling and security reviews for new systems, changes and projects, and recommend mitigations. Develop and improve security baselines and hardening standards. Integrate security tooling to reduce manual work, such as automating phishing triage, phishing campaign reporting and vulnerability ticketing. Use AI tools, APIs and low-code automation to connect security and SaaS platforms (for example EDR, vulnerability management, phishing simulation, Microsoft 365, Entra ID and ticketing) and consolidate their data. Build and maintain dashboards and reports for security monitoring, including vulnerability, phishing, incident and compliance metrics, using AI-assisted development and visualization tools. Use AI tools in line with organizational policy and data-handling requirements and recommend safeguards for AI use within the security environment. Cybersecurity operations Monitor, investigate and respond to security alerts and incidents, including phishing emails, malware alerts and unauthorized access attempts. Administer and maintain security tools, including endpoint detection and response (EDR) and vulnerability scanners. Remediate security incidents, conduct follow-up analysis, document findings and actions taken, and recommend process improvements based on lessons learned. Manage and respond to phishing reports submitted by staff; coordinate containment and communication; and tune detections and build automation to reduce false positives and manual triage. Perform regular vulnerability assessments, and work with system owners and end users to prioritize and remediate identified risks. Contribute to the planning and rollout of new cybersecurity objectives, tools and initiatives as the security program evolves. Security awareness and phishing simulations Plan and run recurring phishing simulation campaigns, including setup, scheduling and distribution. Analyze campaign results and identify departments or individuals who need additional training or follow-up. Develop and deliver security awareness communications, training materials and coaching based on simulation outcomes and leadership direction. Maintain records of simulation results and awareness training completion to support reporting and continuous improvement. Recommend improvements to the security awareness program, including training content, success metrics and risk-based targeting. Compliance and risk management Support day-to-day efforts to achieve and maintain compliance with applicable security controls. Conduct periodic control assessments, gather evidence and work with stakeholders to close compliance gaps. Draft and maintain security policies, standards, procedures, risk assessments and control inventories. Map security controls to applicable frameworks and recommend control improvements. Conduct risk assessments and recommend remediation priorities. Support internal and external audits and regulatory examinations by preparing evidence packages and responding to inquiries. Identify emerging risks and recommend policy or control improvements. Technology operations and service support Provide systems administration support as assigned, including user account management, access provisioning, Conditional Access policies and endpoint configuration. Assist with service desk escalations that require elevated access or advanced troubleshooting. Collaborate with Larson Technology Services colleagues on infrastructure projects, applying a security-first perspective to system design and change management. Requirements: Bachelor's degree in Cybersecurity, Computer Science, Information Systems or a related field, or equivalent professional experience. 8+ years of hands-on cybersecurity engineering experience, including at least 3 years at a senior or specialist level. Proven experience owning security compliance work aligned to frameworks such as NIST CSF, NIST SP 800-53, ISO 27001, SOC 2 or CIS Controls, including audit preparation and evidence management. Deep experience architecting, deploying and optimizing security tools such as EDR/XDR and vulnerability management platforms, including tuning, policy design and integration across the environment. Advanced proficiency building automation and tooling with scripting languages such as PowerShell and Python to reduce manual effort and improve security operations. Strong experience with SIEM and detection engineering, including developing and tuning detection rules, correlating data sources and mapping detections to frameworks such as MITRE ATT&CK. Experience applying AI tools and APIs to connect systems, automate workflows and build dashboards or reports, with sound judgment about data handling and risk. Extensive hands-on experience designing and securing Microsoft Azure and Entra ID environments, including Conditional Access, identity governance, privileged access management and cloud security posture. Experience authoring and maintaining security policies, standards and procedures, and driving their adoption across business and technical teams. Experience running phishing simulation platforms and security awareness programs, including measuring effectiveness and reporting on outcomes. Demonstrated ability to lead incident investigations and response, and to communicate findings and risk clearly to technical teams, executives and non-technical audiences. Ability to evaluate security solutions, build business cases and present well-supported recommendations to management and leadership. Ability to manage multiple competing priorities independently, balancing strategic projects with operational responsibilities in a fast-paced environment. Experience mentoring and providing technical guidance to technology staff. Preferred qualifications: Relevant certifications, such as CISSP, CISM, CISA, GCIH, CompTIA Security+, CEH, or Microsoft SC-200 or AZ-500. Experience with security architecture reviews, risk assessments, or third-party and vendor risk management. Experience with infrastructure as code or DevSecOps practices. Familiarity with financial services regulatory requirements, such as SEC and FINRA cybersecurity expectations, Regulation S-P and GLBA. Larson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other character protected by law. PI961c8e15715a-5088
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 The Team: The Product Operations team drives operational excellence and strategic execution across S&P Global's Geoscience, Engineering and Upstream Data Science software portfolio, serving subsurface professionals worldwide with industry-leading platforms. Operating at the intersection of Product, Technology, Commercial, and Customer Success functions, the team values data-driven decision making, cross-functional collaboration, and customer-centric innovation. This highly visible team plays a critical role in the company's SaaS transformation journey while maintaining our position with the leadingas the trusted partner for energy industry professionals globally. Responsibilities and Impact: Product Portfolio Operations & Performance: Design and implement best-in-class operating cadence across the $100M+ software portfolio, including standardized development workflows, release governance, and comprehensive performance frameworks tracking ACV, ARR, NRR, churn, and feature-level ROI to guide executive decision-making Cross-Functional Alignment & Strategic Execution: Serve as the connective tissue between Product, Engineering, Commercial, and Customer Success teams, leading quarterly business reviews, driving accountability against portfolio OKRs, and ensuring alignment between product roadmaps, commercial timelines, and go-to-market execution SaaS Transformation Leadership: Support the critical transition from legacy desktop software to cloud-native SaaS platforms, partnering with Product Management and Engineering on release velocity, usage-based pricing models, platform scalability, and operational readiness for new platform launches Customer-Centric Feedback Integration: Create structured mechanisms to capture and prioritize insights from Technical Advisors, Customer Support, and Commercial teams, translating feedback into actionable product improvements that enhance customer experience, retention, and drive product-led growth initiatives Go-to-Market & Commercial Enablement: Operationalize product launches across global markets, ensure strong alignment between product positioning, pricing, and packaging strategies, and support deal qualification frameworks while enabling expansion into underpenetrated markets AI/Analytics Integration & Innovation: Drive scalable AI and advanced analytics integration across the multi-product portfolio, supporting data-driven product investment decisions and enabling next-generation capabilities for subsurface professionals worldwide What We're Looking For: Basic Required Qualifications: 8+ years of experience in Product Operations, Product Management, Strategy, or Business Operations roles Proven experience in enterprise software or SaaS environments with demonstrated ability to operate effectively in complex, cross-functional organizations spanning Product, Engineering, and Commercial teams Strong analytical and financial acumen, including expertise with SaaS metrics such as ACV, ARR, NRR, churn analysis, and unit economics to drive data-driven decision making Experience building and implementing operating models, executive dashboards, performance frameworks, and execution processes that drive organizational alignment and accountability Exceptional communication and presentation skills with executive-level presence, including ability to facilitate cross-functional meetings, lead quarterly business reviews, and influence stakeholders at all levels Experience with product portfolio management and go-to-market operations, including product launches, release governance, and commercial enablement activities Bachelor's degree in Business, Engineering, Computer Science, or related field, with Additional Preferred Qualifications: Experience in energy, geoscience, or engineering software markets with familiarity of subsurface workflows such as seismic interpretation, reservoir modeling, or production optimization Proven track record supporting desktop-to-SaaS platform transformations, including migration strategies, cloud-native architecture considerations, and change management for technical user bases Exposure to AI/ML-enabled products, advanced analytics platforms, or data science applications, particularly in technical or scientific software environments Background working with global teams and international customers, including experience with market expansion strategies and cross-cultural stakeholder management Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $110,000 to $149,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Right to Work Requirements: This role is limited to persons with an indefinite right to work in the United States About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 12 The Team: The Product Operations team drives operational excellence and strategic execution across S&P Global's Geoscience, Engineering and Upstream Data Science software portfolio, serving subsurface professionals worldwide with industry-leading platforms. Operating at the intersection of Product, Technology, Commercial, and Customer Success functions, the team values data-driven decision making, cross-functional collaboration, and customer-centric innovation. This highly visible team plays a critical role in the company's SaaS transformation journey while maintaining our position with the leadingas the trusted partner for energy industry professionals globally. Responsibilities and Impact: Product Portfolio Operations & Performance: Design and implement best-in-class operating cadence across the $100M+ software portfolio, including standardized development workflows, release governance, and comprehensive performance frameworks tracking ACV, ARR, NRR, churn, and feature-level ROI to guide executive decision-making Cross-Functional Alignment & Strategic Execution: Serve as the connective tissue between Product, Engineering, Commercial, and Customer Success teams, leading quarterly business reviews, driving accountability against portfolio OKRs, and ensuring alignment between product roadmaps, commercial timelines, and go-to-market execution SaaS Transformation Leadership: Support the critical transition from legacy desktop software to cloud-native SaaS platforms, partnering with Product Management and Engineering on release velocity, usage-based pricing models, platform scalability, and operational readiness for new platform launches Customer-Centric Feedback Integration: Create structured mechanisms to capture and prioritize insights from Technical Advisors, Customer Support, and Commercial teams, translating feedback into actionable product improvements that enhance customer experience, retention, and drive product-led growth initiatives Go-to-Market & Commercial Enablement: Operationalize product launches across global markets, ensure strong alignment between product positioning, pricing, and packaging strategies, and support deal qualification frameworks while enabling expansion into underpenetrated markets AI/Analytics Integration & Innovation: Drive scalable AI and advanced analytics integration across the multi-product portfolio, supporting data-driven product investment decisions and enabling next-generation capabilities for subsurface professionals worldwide What We're Looking For: Basic Required Qualifications: 8+ years of experience in Product Operations, Product Management, Strategy, or Business Operations roles Proven experience in enterprise software or SaaS environments with demonstrated ability to operate effectively in complex, cross-functional organizations spanning Product, Engineering, and Commercial teams Strong analytical and financial acumen, including expertise with SaaS metrics such as ACV, ARR, NRR, churn analysis, and unit economics to drive data-driven decision making Experience building and implementing operating models, executive dashboards, performance frameworks, and execution processes that drive organizational alignment and accountability Exceptional communication and presentation skills with executive-level presence, including ability to facilitate cross-functional meetings, lead quarterly business reviews, and influence stakeholders at all levels Experience with product portfolio management and go-to-market operations, including product launches, release governance, and commercial enablement activities Bachelor's degree in Business, Engineering, Computer Science, or related field, with Additional Preferred Qualifications: Experience in energy, geoscience, or engineering software markets with familiarity of subsurface workflows such as seismic interpretation, reservoir modeling, or production optimization Proven track record supporting desktop-to-SaaS platform transformations, including migration strategies, cloud-native architecture considerations, and change management for technical user bases Exposure to AI/ML-enabled products, advanced analytics platforms, or data science applications, particularly in technical or scientific software environments Background working with global teams and international customers, including experience with market expansion strategies and cross-cultural stakeholder management Compensation/Benefits Information: (This section is only applicable to US candidates) S&P Global states that the anticipated base salary range for this position is $110,000 to $149,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . Right to Work Requirements: This role is limited to persons with an indefinite right to work in the United States About S&P Global Energy At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration. S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment . click apply for full job details
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
11/13/2026
Full time
This job is with S&P Global, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About the Role: Grade Level (for internal use): 13 Role Summary We are seeking a Technical Team Lead - AI, AWS, Java Full-Stack, Financial Platforms to lead the design, development, and delivery of index calculation and back testing platform. This role combines hands-on Java full-stack engineering, AWS cloud development, AI-assisted software delivery, and technical leadership across a financial technology platform. The Technical Team Lead will guide a team of engineers in building scalable backend services, modern user interfaces, financial calculation workflows, back testing capabilities, data integrations, automated testing frameworks, and AI-assisted QA/evaluation routines. The role requires strong technical judgment, practical leadership, and the ability to translate financial methodology requirements into reliable, auditable, and production-ready software. This is a hands-on leadership role. The successful candidate will be expected to define technical direction, mentor developers, review architecture and code, collaborate with business and quantitative stakeholders, and contribute directly to critical platform components. Key Responsibilities Technical Leadership Lead the engineering delivery of an AI-enabled financial platform for index calculation, options analytics, back testing, and workflow execution. Define technical architecture, implementation standards, coding practices, testing expectations, and delivery patterns for the engineering team. Guide developers through complex design decisions involving Java services, frontend architecture, AWS workflows, data integration, AI-assisted development, and calculation accuracy. Partner with product owners, quantitative analysts, QA teams, infrastructure teams, data teams, and business stakeholders to convert requirements into clear technical plans. Lead design reviews, code reviews, sprint technical planning, production readiness reviews, and technical risk assessments. Mentor engineers in Java full-stack development, cloud-native design, financial calculation systems, automated testing, and responsible use of AI-assisted engineering tools. Ensure the platform is scalable, secure, maintainable, observable, auditable, and aligned with financial methodology and operational requirements. Hands-On Java Full-Stack Development Design and develop backend services using Java, Spring Boot, REST APIs, and enterprise application patterns. Build platform components for index calculation, backtesting, data processing, workflow orchestration, exception handling, validation, and reporting. Implement financial calculation logic based on methodology specifications, including options-based strategies, rebalancing rules, pricing inputs, market calendars, and historical backtesting assumptions. Develop modern frontend applications using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Build user interfaces for index setup, backtest configuration, workflow monitoring, calculation review, validation results, exception management, dashboards, and reporting. Ensure strong integration between frontend applications, backend APIs, authentication flows, data services, and cloud workflows. AI-Assisted Engineering and Spec-Driven Development Apply Spec-Driven Development practices to convert financial methodology documents, business requirements, and technical specifications into testable software components. Use AI-assisted engineering workflows to support planning, code generation, refactoring, test creation, documentation, and quality review. Review AI-generated or AI-assisted code for correctness, maintainability, security, performance, test coverage, and alignment with platform standards. Help establish team practices for responsible AI-assisted development, including review checklists, validation gates, test coverage expectations, and documentation standards. Support AI-assisted QA and evaluation routines for generated code, calculation outputs, regression testing, and backtest validation. AWS, Data, and Platform Engineering Design and implement AWS-based platform components using services such as AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, and AWS RDS. Build workflow orchestration for index calculations, backtest execution, data validation, exception handling, approvals, and operational monitoring. Integrate with data platforms including AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), data lakes, market data sources, reference data platforms, and analytical data pipelines. Ensure data lineage, audit trails, input/output traceability, logging, alerting, and operational controls are built into the platform. Support CI/CD, infrastructure automation, deployment validation, monitoring, and production support practices. Required Experience 12+ years of software engineering experience, with significant experience in Java full-stack development and enterprise platform delivery. 5+ years of technical leadership experience, including mentoring engineers, leading design discussions, reviewing code, and guiding delivery teams. Strong hands-on experience with Java, Spring Boot, REST APIs, microservices, relational databases, and backend service design. Hands-on frontend development experience using React, Angular, Vue, TypeScript, JavaScript, HTML, and CSS. Experience designing and delivering large-scale systems involving distributed services, workflow orchestration, data processing, APIs, and production operations. Experience with AWS cloud-native development, including compute, storage, orchestration, security, monitoring, logging, and managed databases. Strong understanding of automated testing, CI/CD, code quality, observability, secure development, and production readiness. Experience or strong interest in financial platforms, especially index calculation, options analytics, derivatives, equities, portfolio analytics, backtesting, risk systems, or capital markets technology. Ability to interpret detailed financial methodology specifications and translate them into reliable, testable, and auditable software designs. Exposure to GenAI engineering, AI-assisted coding, agentic development workflows, Claude Code, Claude Code CLI, Spec Kit, or Spec-Driven Development is highly desirable. Preferred Technical Stack Backend: Java, Spring Boot, REST APIs, microservices, JPA/Hibernate, Maven/Gradle, concurrency, batch processing, and enterprise integration patterns. Frontend: React, Angular, or Vue; TypeScript; JavaScript; HTML; CSS; reusable components; dashboards; forms; data grids; charts; and responsive UI design. Cloud: AWS Step Functions, Lambda, ECS/EKS, API Gateway, S3, CloudWatch, IAM, EventBridge, SQS/SNS, RDS, and cloud-native security patterns. Data Platforms: AWS RDS, cloud data platforms (such as Databricks, Snowflake, or Azure Synapse), relational databases, data pipelines, market data integration, reference data, and analytical data processing. AI Engineering: AI-assisted development, Spec-Driven Development, Claude Code, Claude Code CLI, Spec Kit, automated QA/evaluation routines, and human-reviewed generated code. DevOps and Quality: CI/CD, automated testing, integration testing, regression testing, performance testing, logging, monitoring, alerting, and production support. Financial Domain Knowledge The ideal candidate should have experience or strong working interest in financial systems involving calculation-heavy workflows. Relevant areas include: Index calculation methodologies, index levels, divisor logic, rebalancing, weighting, corporate actions, calendars, and daily calculation cycles. Options-based strategies such as covered call, put write, collar, volatility-based, delta-based, or rules-based options strategies. Backtesting concepts such as historical simulation, look-ahead bias prevention, survivorship bias, transaction assumptions, rebalance simulation, and reproducibility. Market data concepts including prices, option chains, strikes, expiries, implied volatility, rates, dividends, corporate actions, and reference data. Validation practices including golden datasets, tolerance checks, independent calculation verification, reconciliation, audit trails, and exception handling. Success Measures Leads the team in delivering a scalable, secure, and reliable index calculation and backtesting platform. Produces and guides high-quality Java full-stack implementation across backend services, frontend applications, APIs, workflows, and data integrations. Converts financial methodology specifications into tested, reproducible, and auditable platform logic. Establishes strong engineering practices for code quality, automated testing, observability, documentation, and production readiness. Uses AI-assisted development responsibly to improve delivery speed while maintaining human review, financial accuracy, and software quality. Builds strong collaboration across engineering, quantitative analysis, QA, infrastructure, product . click apply for full job details
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary: Have you ever dreamed of contributing to the development of groundbreaking technologies? Micron plans to invest more than $250 billion globally over the next decade in groundbreaking manufacturing and R&D, including fab expansion in the United States giving us the opportunity to bring in passionate team members to help us continue to be at the forefront of memory in the World! We have an outstanding opportunity for a high energy, tenacious, ambitious, result driven individual with a strong work ethic and integrity to join our Facilities Team in Boise, Idaho! Micron seeking a Life Safety & Fire Alarms Systems Engineer, to become part of a team that is helping shape the future of how the world uses information. T his is an outstanding opportunity to work at the forefront of technology while supporting the design, operation, and continuous improvement of critical life safety systems within world-class semiconductor manufacturing facilities. Responsibilities: Serve as a technical owner for fire alarm, mass notification, emergency communication, and life safety systems. Review of vendor provided design drawings and specifications for completeness, accuracy and adherence to all applicable design and safety standards and codes including NFPA 72, NFPA 70, NFPA 101, IFC, IBC, and FM Global requirements. Review system configurations, equipment layouts, and distribution routing to ensure functionality, life safety compliance, proper egress, maintainability, constructability, and alignment with P&IDs. Collaborate with multidisciplinary engineering, design, construction, Facilities, EHS, IT, Security, and vendor teams to achieve project objectives. Apply critical thinking and analytical problem-solving skills to Identify, develop, propose, and implement cost effective plans that improve overall equipment and system efficiencies. Support design, installation, testing, commissioning, and sustaining operations of life safety systems. Develop and maintain engineering, operations, and maintenance documentation. Troubleshoot system issues, analyze system performance data, and drive reliability improvements through continuous improvement initiatives. Minimum Qualifications Bachelor's degree in electrical, controls, or related engineering fields. 2 years of experience as a facilities life safety systems engineer within an industrial environment. Technical knowledge of fire detection, fire alarm, suppression, mass notification, emergency communication, and life safety systems. Experience with instrumentation and controls, including sensor integration, control panels, and I/O systems. Working knowledge of NFPA 72, NFPA 70, NFPA 101, NFPA 2001, IBC, IFC, and applicable FM Global requirements. Proficient in reviewing schematics, wiring diagrams, equipment specs, and network layouts. Preferred Qualifications 3+ Years of experience within the Semiconductor Industry. Familiarity with smart building technologies, including IoT-enabled fire detection, intelligent suppression systems, and integrated emergency communication platforms. Professional certifications such as NICET Fire Alarm Systems (Level III or IV preferred) or Certified Fire Protection Specialist (CFPS). Strong understanding of system interoperability and integration with facility-wide platforms such as SCADA, BMS, and DCIM systems. Experience using engineering and design tools such as AutoCAD, Revit, and Navisworks, Siemens, Notifier, Edwards, Simplex, Johnson Controls, or similar fire alarm platforms. Interest or experience in embracing agentic AI to improve engineering and operational processes. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
11/13/2026
Full time
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Summary: Have you ever dreamed of contributing to the development of groundbreaking technologies? Micron plans to invest more than $250 billion globally over the next decade in groundbreaking manufacturing and R&D, including fab expansion in the United States giving us the opportunity to bring in passionate team members to help us continue to be at the forefront of memory in the World! We have an outstanding opportunity for a high energy, tenacious, ambitious, result driven individual with a strong work ethic and integrity to join our Facilities Team in Boise, Idaho! Micron seeking a Life Safety & Fire Alarms Systems Engineer, to become part of a team that is helping shape the future of how the world uses information. T his is an outstanding opportunity to work at the forefront of technology while supporting the design, operation, and continuous improvement of critical life safety systems within world-class semiconductor manufacturing facilities. Responsibilities: Serve as a technical owner for fire alarm, mass notification, emergency communication, and life safety systems. Review of vendor provided design drawings and specifications for completeness, accuracy and adherence to all applicable design and safety standards and codes including NFPA 72, NFPA 70, NFPA 101, IFC, IBC, and FM Global requirements. Review system configurations, equipment layouts, and distribution routing to ensure functionality, life safety compliance, proper egress, maintainability, constructability, and alignment with P&IDs. Collaborate with multidisciplinary engineering, design, construction, Facilities, EHS, IT, Security, and vendor teams to achieve project objectives. Apply critical thinking and analytical problem-solving skills to Identify, develop, propose, and implement cost effective plans that improve overall equipment and system efficiencies. Support design, installation, testing, commissioning, and sustaining operations of life safety systems. Develop and maintain engineering, operations, and maintenance documentation. Troubleshoot system issues, analyze system performance data, and drive reliability improvements through continuous improvement initiatives. Minimum Qualifications Bachelor's degree in electrical, controls, or related engineering fields. 2 years of experience as a facilities life safety systems engineer within an industrial environment. Technical knowledge of fire detection, fire alarm, suppression, mass notification, emergency communication, and life safety systems. Experience with instrumentation and controls, including sensor integration, control panels, and I/O systems. Working knowledge of NFPA 72, NFPA 70, NFPA 101, NFPA 2001, IBC, IFC, and applicable FM Global requirements. Proficient in reviewing schematics, wiring diagrams, equipment specs, and network layouts. Preferred Qualifications 3+ Years of experience within the Semiconductor Industry. Familiarity with smart building technologies, including IoT-enabled fire detection, intelligent suppression systems, and integrated emergency communication platforms. Professional certifications such as NICET Fire Alarm Systems (Level III or IV preferred) or Certified Fire Protection Specialist (CFPS). Strong understanding of system interoperability and integration with facility-wide platforms such as SCADA, BMS, and DCIM systems. Experience using engineering and design tools such as AutoCAD, Revit, and Navisworks, Siemens, Notifier, Edwards, Simplex, Johnson Controls, or similar fire alarm platforms. Interest or experience in embracing agentic AI to improve engineering and operational processes. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on . Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option ) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
Job Description Job Description The Datacenter Operations Technician provides advanced support for datacenter infrastructure, including Hyper-V and VMware virtualization, enterprise networking, and SAN storage such as OSNexus QuantaStor. The role leads troubleshooting, lifecycle management, capacity planning, documentation, and mentoring to maintain secure, reliable, highly available services for internal and client environments. Skills Advanced administration and troubleshooting of Microsoft Hyper-V, failover clustering, live migration, cluster shared volumes, and Windows Server virtualization environments Advanced administration and troubleshooting of VMware vSphere, ESXi, vCenter Server, snapshots, templates, virtual networking, high availability, and distributed resource scheduling Strong enterprise networking knowledge, including TCP/IP, VLANs, routing, switching, link aggregation, firewalls, VPNs, DNS, DHCP, SNMP, and network performance analysis Hands-on experience with SAN and shared-storage technologies, including OSNexus QuantaStor, iSCSI, Fibre Channel concepts, multipathing, RAID, snapshots, replication, storage pools, and capacity management Strong knowledge of Windows Server and working knowledge of Linux administration, Active Directory, group policy, PowerShell, patching, and infrastructure monitoring Experience with server hardware, firmware, racks, cabling, power distribution, environmental monitoring, and datacenter change-control practices Ability to lead complex incident response, root cause analysis, vendor escalation, maintenance activities, and infrastructure projects Strong documentation, client communication, prioritization, mentoring, and professional writing skills Physical Requirements Must be able to lift 50 pounds, install or remove equipment in standard datacenter racks, work in confined equipment areas, use ladders or step stools when required, and remain seated or standing for extended periods. Must be able to wear company-provided safety equipment and a headset as needed. Certifications VMware VCP, Microsoft Windows Server or Azure, OSNexus QuantaStor or equivalent SAN/storage, Cisco CCNA or equivalent networking certification, CompTIA Network+ or Server+, and ITIL Foundation Role and Responsibilities Datacenter Operations: o Provide senior-level operational support for physical and virtual datacenter infrastructure, including compute, storage, networking, power, environmental systems, and supporting management platforms o Monitor infrastructure health, availability, capacity, performance, security alerts, and respond in accordance with established service-level and escalation requirements o Lead diagnosis and resolution of complex hardware, operating system, virtualization, networking and storage incidents, including coordination with manufacturers, carriers, and third-party vendors o Plan and perform installation, configuration, maintenance, upgrades, migrations, moves, additions, changes, and decommissioning of datacenter equipment o Execute preventive maintenance, firmware updates, operating system patching, hardware lifecycle replacements, and configuration reviews in accordance with change-management procedures o Participate in scheduled after-hours maintenance and an on-call rotation as required to support business continuity and customer commitments o Maintain accurate rack elevations, asset records, warranty information, cabling documentation, inventories, and equipment disposition records Virtualization and Compute: o Administer and optimize Microsoft Hyper-V clusters and VMware vSphere environments including hosts, clusters, virtual machines, templates, virtual switches, storage connectivity, and management services o Perform virtual machine provisioning, migrations, resource allocation, snapshot management, backup coordination, replication support, and recovery testing o Troubleshoot cluster, host, guest, storage-path, and virtual-networking issues while minimizing service disruption o Review CPU, memory, storage, and licensing utilization and provide recommendations for consolidation, expansion, refresh, and standardization o Validate backup, restore, high-availability, and disaster-recovery capabilities in coordination with security, backup, and operations teams Networking: o Configure and troubleshoot datacenter switching, VLANs, trunks, routing, port channels, network interface teaming, firewall connectivity, VPNs, DNS, DHCP, and out-of-band management networks o Analyze latency, packet loss, throughput, interface errors, and connectivity issues using appropriate monitoring and diagnostic tools o Maintain secure network segmentation, redundant paths, documented configurations, and configuration backups o Coordinate network changes with internal teams, carriers, vendors, and customers to reduce risk and downtime Storage and SAN: o Administer OSNexus QuantaStor and other SAN or shared-storage platforms, including storage pools, RAID groups, volumes, targets, initiators, snapshots, replication, alerts, and access controls o Configure and troubleshoot iSCSI connectivity, multipathing, host mappings, storage networks, and virtualization-platform integration o Monitor storage capacity, performance, latency, drive health, replication status, and data-protection jobs, and address exceptions before service is affected o Plan storage growth, hardware refreshes, migrations, firmware updates, and maintenance activities while protecting data availability and integrity o Work with backup and disaster-recovery teams to test restores, replication, failover, and recovery procedures Service Management, Security, and Compliance: o Create, manage, and update tickets in the company PSA for incidents, service requests, problems, changes, projects, and maintenance activities o Assign appropriate priority and impact, meet SLA requirements, document troubleshooting and resolution details, and provide timely status updates to stakeholders o Follow access-control, change-management, vulnerability-management, logging, physical-security, and incident-response policies applicable to datacenter operations o Escalate suspected security incidents immediately and preserve relevant system information and logs in accordance with company procedures o Contribute operational evidence, documentation, and corrective actions supporting audits, risk assessments, and compliance requirements Documentation, Projects, and Leadership: o Create and maintain standard operating procedures, diagrams, build standards, recovery procedures, maintenance plans, knowledge-base articles, and customer-specific documentation o Lead or participate in datacenter projects, define technical requirements, identify dependencies and risks, develop implementation and rollback plans, and communicate progress o Perform root cause analysis for significant or recurring incidents and implement corrective and preventive actions o Mentor junior technicians, review technical work and ticket documentation, share knowledge, and assist with skills development o Evaluate products, processes and systems, recommend improvements and contribute to infrastructure roadmaps, budgets, renewals, and capacity plans o Communicate professionally with coworkers, management, clients, and vendors Other duties as needed
11/13/2026
Full time
Job Description Job Description The Datacenter Operations Technician provides advanced support for datacenter infrastructure, including Hyper-V and VMware virtualization, enterprise networking, and SAN storage such as OSNexus QuantaStor. The role leads troubleshooting, lifecycle management, capacity planning, documentation, and mentoring to maintain secure, reliable, highly available services for internal and client environments. Skills Advanced administration and troubleshooting of Microsoft Hyper-V, failover clustering, live migration, cluster shared volumes, and Windows Server virtualization environments Advanced administration and troubleshooting of VMware vSphere, ESXi, vCenter Server, snapshots, templates, virtual networking, high availability, and distributed resource scheduling Strong enterprise networking knowledge, including TCP/IP, VLANs, routing, switching, link aggregation, firewalls, VPNs, DNS, DHCP, SNMP, and network performance analysis Hands-on experience with SAN and shared-storage technologies, including OSNexus QuantaStor, iSCSI, Fibre Channel concepts, multipathing, RAID, snapshots, replication, storage pools, and capacity management Strong knowledge of Windows Server and working knowledge of Linux administration, Active Directory, group policy, PowerShell, patching, and infrastructure monitoring Experience with server hardware, firmware, racks, cabling, power distribution, environmental monitoring, and datacenter change-control practices Ability to lead complex incident response, root cause analysis, vendor escalation, maintenance activities, and infrastructure projects Strong documentation, client communication, prioritization, mentoring, and professional writing skills Physical Requirements Must be able to lift 50 pounds, install or remove equipment in standard datacenter racks, work in confined equipment areas, use ladders or step stools when required, and remain seated or standing for extended periods. Must be able to wear company-provided safety equipment and a headset as needed. Certifications VMware VCP, Microsoft Windows Server or Azure, OSNexus QuantaStor or equivalent SAN/storage, Cisco CCNA or equivalent networking certification, CompTIA Network+ or Server+, and ITIL Foundation Role and Responsibilities Datacenter Operations: o Provide senior-level operational support for physical and virtual datacenter infrastructure, including compute, storage, networking, power, environmental systems, and supporting management platforms o Monitor infrastructure health, availability, capacity, performance, security alerts, and respond in accordance with established service-level and escalation requirements o Lead diagnosis and resolution of complex hardware, operating system, virtualization, networking and storage incidents, including coordination with manufacturers, carriers, and third-party vendors o Plan and perform installation, configuration, maintenance, upgrades, migrations, moves, additions, changes, and decommissioning of datacenter equipment o Execute preventive maintenance, firmware updates, operating system patching, hardware lifecycle replacements, and configuration reviews in accordance with change-management procedures o Participate in scheduled after-hours maintenance and an on-call rotation as required to support business continuity and customer commitments o Maintain accurate rack elevations, asset records, warranty information, cabling documentation, inventories, and equipment disposition records Virtualization and Compute: o Administer and optimize Microsoft Hyper-V clusters and VMware vSphere environments including hosts, clusters, virtual machines, templates, virtual switches, storage connectivity, and management services o Perform virtual machine provisioning, migrations, resource allocation, snapshot management, backup coordination, replication support, and recovery testing o Troubleshoot cluster, host, guest, storage-path, and virtual-networking issues while minimizing service disruption o Review CPU, memory, storage, and licensing utilization and provide recommendations for consolidation, expansion, refresh, and standardization o Validate backup, restore, high-availability, and disaster-recovery capabilities in coordination with security, backup, and operations teams Networking: o Configure and troubleshoot datacenter switching, VLANs, trunks, routing, port channels, network interface teaming, firewall connectivity, VPNs, DNS, DHCP, and out-of-band management networks o Analyze latency, packet loss, throughput, interface errors, and connectivity issues using appropriate monitoring and diagnostic tools o Maintain secure network segmentation, redundant paths, documented configurations, and configuration backups o Coordinate network changes with internal teams, carriers, vendors, and customers to reduce risk and downtime Storage and SAN: o Administer OSNexus QuantaStor and other SAN or shared-storage platforms, including storage pools, RAID groups, volumes, targets, initiators, snapshots, replication, alerts, and access controls o Configure and troubleshoot iSCSI connectivity, multipathing, host mappings, storage networks, and virtualization-platform integration o Monitor storage capacity, performance, latency, drive health, replication status, and data-protection jobs, and address exceptions before service is affected o Plan storage growth, hardware refreshes, migrations, firmware updates, and maintenance activities while protecting data availability and integrity o Work with backup and disaster-recovery teams to test restores, replication, failover, and recovery procedures Service Management, Security, and Compliance: o Create, manage, and update tickets in the company PSA for incidents, service requests, problems, changes, projects, and maintenance activities o Assign appropriate priority and impact, meet SLA requirements, document troubleshooting and resolution details, and provide timely status updates to stakeholders o Follow access-control, change-management, vulnerability-management, logging, physical-security, and incident-response policies applicable to datacenter operations o Escalate suspected security incidents immediately and preserve relevant system information and logs in accordance with company procedures o Contribute operational evidence, documentation, and corrective actions supporting audits, risk assessments, and compliance requirements Documentation, Projects, and Leadership: o Create and maintain standard operating procedures, diagrams, build standards, recovery procedures, maintenance plans, knowledge-base articles, and customer-specific documentation o Lead or participate in datacenter projects, define technical requirements, identify dependencies and risks, develop implementation and rollback plans, and communicate progress o Perform root cause analysis for significant or recurring incidents and implement corrective and preventive actions o Mentor junior technicians, review technical work and ticket documentation, share knowledge, and assist with skills development o Evaluate products, processes and systems, recommend improvements and contribute to infrastructure roadmaps, budgets, renewals, and capacity plans o Communicate professionally with coworkers, management, clients, and vendors Other duties as needed
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/13/2026
Full time
Machine Learning Engineer 4 - Manager IC Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. As part of the Enterprise ML Platform team, you will build and evolve the high-throughput, multi-tenant training platform that powers model workflows across Capital One-ranging from classical ML to GenAI fine-tuning and distributed computing with Ray, Spark, and Dask. Owning the Kubeflow Pipelines v2 application layer on Amazon EKS, the team develops internal Python and Go SDKs, custom Kubernetes operators, and developer tooling that abstract complex infrastructure for critical, regulated workloads. In this role, you will integrate agentic AI into modern engineering lifecycles and contribute directly to upstream open-source Kubeflow, balancing fast-paced feature delivery with enterprise-grade platform stability and security. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years designing, training, optimizing, and evaluating modern ML models across architectures (e.g., Transformers, CNNs, RNNs) and paradigms (supervised, unsupervised, reinforcement learning), including loss design, hyperparameter tuning, and diagnostic debugging. 3+ years architecting and scaling distributed, end-to-end ML systems, from production-ready training/evaluation data pipelines to algorithm and infrastructure optimization. 3+ years managing ML workloads using Docker, Kubernetes, and pipeline orchestration tools (e.g., Kubeflow is a strong plus). 3+ years applying modern software best practices (CI/CD, version control, automated testing, code reviews) and deploying resilient systems with progressive rollout strategies (blue/green, canary/one-box), monitoring, alerting, and incident response planning. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning Engineer 4 San Jose, CA: $215,200 - $245,600 for Machine Learning Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach with offices in London, Manila, New York, Barcelona and Montreal, we have a proven track record delivering powerful, elegant and intuitive trading technology solutions. We are now looking for a Senior Java Developer to join our Montreal team on a new exciting project! We are part of the Financial Crime Surveillance domain. We are developing working on a Resolution Management Orchestrator , the new architecture orchestrating fraud resolution actions (payment blocking, card restriction, profile suspension, etc), ensuring ordered, single-execution and resilient processing of each client's events. We will also work on card fraud: the fraud specialized external partner integrations and the Decisions Loader , which routes the partner's fraud decisions to the internal DWH and feeds the opening of fraud alert investigations. YOU ARE: A JVM lover who really enjoys working with the latest technologies and design patterns Eager to solve complex technical challenges, especially in cloud-based environments and event driven architecture patterns Someone looking to work in a collaborative environment, sharing knowledge and helping each other Experienced within the Fintech industry A French speaker YOU HAVE: Significant, professional server-side software development experience Solid experience programming with Core Java, with working knowledge of modern Java versions (Java 17+). General familiarity with data structures such as sets, hashes, caches etc Experience developing Front Office financial systems, E-Trading and FIX Experience in delivering OMS/EMS/Exchange systems Exposure to equities trading & brokerage General knowledge of data injection/inversion of control Experience working in an Agile environment (Scrum, Kanban) Experience with AI WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it) To take part in the growth and development of a great company Our teams feel free to speak up, make suggestions and raise concerns Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ) For permanent employees: We create benefits with YOU in mind. A competitive salary 23 days of vacations 50% of the cost for group insurance which includes health, dental, life insurance and short or long-term disabilities up to 5% of your annual salary as a pension plan contribution, if you contribute the same 50% of your public transportation monthly pass Personal Spending Account (PSA) Hybrid working model THE PROCESS Long interview processes are stressful and boring and that is not us. We want to make sure that everything runs smoothly. You will have interviews in three stages: 1 - A chat with one of our great recruiters. 2 - A zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience 3 - A Face to Face interview via Zoom. During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for your interviews with us: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc. DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive.
11/13/2026
Full time
This job is with Adaptive Financial Consulting Ltd, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. WE ARE: At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage. Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a global reach with offices in London, Manila, New York, Barcelona and Montreal, we have a proven track record delivering powerful, elegant and intuitive trading technology solutions. We are now looking for a Senior Java Developer to join our Montreal team on a new exciting project! We are part of the Financial Crime Surveillance domain. We are developing working on a Resolution Management Orchestrator , the new architecture orchestrating fraud resolution actions (payment blocking, card restriction, profile suspension, etc), ensuring ordered, single-execution and resilient processing of each client's events. We will also work on card fraud: the fraud specialized external partner integrations and the Decisions Loader , which routes the partner's fraud decisions to the internal DWH and feeds the opening of fraud alert investigations. YOU ARE: A JVM lover who really enjoys working with the latest technologies and design patterns Eager to solve complex technical challenges, especially in cloud-based environments and event driven architecture patterns Someone looking to work in a collaborative environment, sharing knowledge and helping each other Experienced within the Fintech industry A French speaker YOU HAVE: Significant, professional server-side software development experience Solid experience programming with Core Java, with working knowledge of modern Java versions (Java 17+). General familiarity with data structures such as sets, hashes, caches etc Experience developing Front Office financial systems, E-Trading and FIX Experience in delivering OMS/EMS/Exchange systems Exposure to equities trading & brokerage General knowledge of data injection/inversion of control Experience working in an Agile environment (Scrum, Kanban) Experience with AI WHY US: To be immersed in high-standard engineering culture. Our fantastic team takes pride in crafting complex technical solutions but also loves sharing their knowledge and helping you grow professionally (we have extraordinary minds at Adaptive, you can learn from anyone here, which is the beauty of it) To take part in the growth and development of a great company Our teams feel free to speak up, make suggestions and raise concerns Collaborative team environment: we all work together, respect each other, and pitch in Great consideration for work/life balance (highly-flexible, hybrid working model, well-being benefits ). The balance between professional and personal life is massively important to us We work hard to provide a positive, collaborative and inclusive culture and to positively impact our staff and local communities through different well-being, diversity and inclusion programmes WHAT PEOPLE THINK OF US You can check our Glassdoor page BENEFITS (What we offer in return what you'll get ) For permanent employees: We create benefits with YOU in mind. A competitive salary 23 days of vacations 50% of the cost for group insurance which includes health, dental, life insurance and short or long-term disabilities up to 5% of your annual salary as a pension plan contribution, if you contribute the same 50% of your public transportation monthly pass Personal Spending Account (PSA) Hybrid working model THE PROCESS Long interview processes are stressful and boring and that is not us. We want to make sure that everything runs smoothly. You will have interviews in three stages: 1 - A chat with one of our great recruiters. 2 - A zoom chat with one of our Java colleagues where they will ask you detailed questions about your experience 3 - A Face to Face interview via Zoom. During this interview, we will dig even deeper and you will have a pair programming task to do. But don't worry; everything will be explained to you step by step by your recruiter. A little tip for your interviews with us: Collaboration is massively important to us, so don't hesitate to share your thoughts, ask questions, ask for help if needed, etc. DIVERSITY & INCLUSION: Diversity and inclusion are key to a great workplace, and Adaptive is better when it's more representative of the world around us. We want everyone to feel comfortable bringing their whole selves to work without any fear of judgment or negativity. All we ask is that our colleagues are respectful, collaborative, passionate about what they do, and have the skills needed to be successful in their roles. Background check: the employment/engagement is subject to an acceptable background check that will be run by Adaptive.
Job Description Job Description Job Title: Security Analyst - Consultant ( 14268) Location: Columbia, SC 29201 Fully Onsite - 5 Days/Week Duration: 12 Months Interview Process: 2 Rounds - 1st Round Virtual, 2nd Round Onsite in Columbia, SC Candidate Location: Candidate MUST be a current South Carolina resident. No relocation allowed. Required Skills BS degree in Computer Science, Information Systems, Cybersecurity, or related field; or equivalent experience Network-security-centric certification such as PCNSE or CCNA 3-5 years of hands-on experience in network design, implementation, or support Hands-on experience in IT security or system administration Working knowledge of secure network design Working knowledge of security architecture Experience with compliance tools Understanding of data protection and access models Ability to analyze logs, alerts, and network telemetry Proficiency with Microsoft Office tools Technical Experience Secure network design principles Windows, macOS, and Linux operating systems Switching and routing Enterprise firewalls Network auditing IDS/IPS platforms Network security monitoring SIEM platforms such as QRadar or Splunk Vulnerability scanning tools such as Nessus or Qualys Cloud infrastructure security Preferred Skills CISSP or Security+ Experience working in regulated environments Experience supporting Health IT Experience supporting State Government Familiarity with FISMA Familiarity with NIST Familiarity with CMS ARC-AMPE Familiarity with HIPAA security and privacy standards Experience with Azure or AWS cloud network security controls Responsibilities Assist in maturing network security and compliance solutions Investigate and respond to daily network security alerts Perform network security assessments for proposed firewall and infrastructure changes Conduct technical analysis for network security planning and engineering Review connectivity, website-blocking, and firewall-rule requests to identify potential security risks Analyze on-premise and cloud networks for potential threats Develop, review, and analyze network traffic reports involving approved ports, protocols, and services Monitor emerging threat vectors and recommend countermeasures Collaborate with agency teams to implement appropriate security controls Support cloud and on-premise network changes and enhancement projects Support compliance activities involving CMS ARC-AMPE, HIPAA, and SCDIS-200 Assist with KPI creation and security trend monitoring Participate in firewall configuration reviews and ruleset recertification Provide network-security best-practice guidance to technical teams Perform additional SOC duties as assigned About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
11/13/2026
Full time
Job Description Job Description Job Title: Security Analyst - Consultant ( 14268) Location: Columbia, SC 29201 Fully Onsite - 5 Days/Week Duration: 12 Months Interview Process: 2 Rounds - 1st Round Virtual, 2nd Round Onsite in Columbia, SC Candidate Location: Candidate MUST be a current South Carolina resident. No relocation allowed. Required Skills BS degree in Computer Science, Information Systems, Cybersecurity, or related field; or equivalent experience Network-security-centric certification such as PCNSE or CCNA 3-5 years of hands-on experience in network design, implementation, or support Hands-on experience in IT security or system administration Working knowledge of secure network design Working knowledge of security architecture Experience with compliance tools Understanding of data protection and access models Ability to analyze logs, alerts, and network telemetry Proficiency with Microsoft Office tools Technical Experience Secure network design principles Windows, macOS, and Linux operating systems Switching and routing Enterprise firewalls Network auditing IDS/IPS platforms Network security monitoring SIEM platforms such as QRadar or Splunk Vulnerability scanning tools such as Nessus or Qualys Cloud infrastructure security Preferred Skills CISSP or Security+ Experience working in regulated environments Experience supporting Health IT Experience supporting State Government Familiarity with FISMA Familiarity with NIST Familiarity with CMS ARC-AMPE Familiarity with HIPAA security and privacy standards Experience with Azure or AWS cloud network security controls Responsibilities Assist in maturing network security and compliance solutions Investigate and respond to daily network security alerts Perform network security assessments for proposed firewall and infrastructure changes Conduct technical analysis for network security planning and engineering Review connectivity, website-blocking, and firewall-rule requests to identify potential security risks Analyze on-premise and cloud networks for potential threats Develop, review, and analyze network traffic reports involving approved ports, protocols, and services Monitor emerging threat vectors and recommend countermeasures Collaborate with agency teams to implement appropriate security controls Support cloud and on-premise network changes and enhancement projects Support compliance activities involving CMS ARC-AMPE, HIPAA, and SCDIS-200 Assist with KPI creation and security trend monitoring Participate in firewall configuration reviews and ruleset recertification Provide network-security best-practice guidance to technical teams Perform additional SOC duties as assigned About Us: InterSources Inc , is a Small, Woman, and Minority-Owned Business Enterprise, ISO/IEC 27001, SOC 2 Type 2 certified company with massive 18+ years of diversified experience in providing IT Consulting Services, Artificial Intelligence, Data Analysis, Application Development, Cloud Services, Cybersecurity, Digital Marketing, ERP Management, Custom Software Development, Web Development, UI/ UX Design, System Integration, QA Support etc. We make reasonable accommodations for clients and employees, and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud and Oracle partner company.
Larson Network Services, LLC
Saint Louis, Missouri
Description: Larson Financial Holdings LLC is seeking a proven Senior Cybersecurity Engineer to build and drive cybersecurity initiatives with an ownership mindset. The Senior Cybersecurity Engineer plays a critical role in protecting the organization's information systems, data and infrastructure. The role builds and improves security tools, automation and policies, including using AI tools to connect security platforms and produce monitoring dashboards. It also supports the day-to-day administration of cybersecurity operations: threat monitoring, incident response, compliance initiatives and security awareness. The role researches security improvements and implements them. As a member of the Larson Technology Services team, the Senior Cybersecurity Engineer also contributes to broader technology operations as needed, in a collaborative environment where team members support one another across technology functions to keep our services reliable and effective. Key responsibilities: Security engineering and tool development Design and build security controls across endpoint, identity, network and cloud environments, including Microsoft Azure and Entra ID. Research and evaluate new security tools; develop recommendations, business cases, proofs of concept and vendor assessments; and deploy and configure the tools selected. Build detection logic, automation and response playbooks. Perform threat modeling and security reviews for new systems, changes and projects, and recommend mitigations. Develop and improve security baselines and hardening standards. Integrate security tooling to reduce manual work, such as automating phishing triage, phishing campaign reporting and vulnerability ticketing. Use AI tools, APIs and low-code automation to connect security and SaaS platforms (for example EDR, vulnerability management, phishing simulation, Microsoft 365, Entra ID and ticketing) and consolidate their data. Build and maintain dashboards and reports for security monitoring, including vulnerability, phishing, incident and compliance metrics, using AI-assisted development and visualization tools. Use AI tools in line with organizational policy and data-handling requirements and recommend safeguards for AI use within the security environment. Cybersecurity operations Monitor, investigate and respond to security alerts and incidents, including phishing emails, malware alerts and unauthorized access attempts. Administer and maintain security tools, including endpoint detection and response (EDR) and vulnerability scanners. Remediate security incidents, conduct follow-up analysis, document findings and actions taken, and recommend process improvements based on lessons learned. Manage and respond to phishing reports submitted by staff; coordinate containment and communication; and tune detections and build automation to reduce false positives and manual triage. Perform regular vulnerability assessments, and work with system owners and end users to prioritize and remediate identified risks. Contribute to the planning and rollout of new cybersecurity objectives, tools and initiatives as the security program evolves. Security awareness and phishing simulations Plan and run recurring phishing simulation campaigns, including setup, scheduling and distribution. Analyze campaign results and identify departments or individuals who need additional training or follow-up. Develop and deliver security awareness communications, training materials and coaching based on simulation outcomes and leadership direction. Maintain records of simulation results and awareness training completion to support reporting and continuous improvement. Recommend improvements to the security awareness program, including training content, success metrics and risk-based targeting. Compliance and risk management Support day-to-day efforts to achieve and maintain compliance with applicable security controls. Conduct periodic control assessments, gather evidence and work with stakeholders to close compliance gaps. Draft and maintain security policies, standards, procedures, risk assessments and control inventories. Map security controls to applicable frameworks and recommend control improvements. Conduct risk assessments and recommend remediation priorities. Support internal and external audits and regulatory examinations by preparing evidence packages and responding to inquiries. Identify emerging risks and recommend policy or control improvements. Technology operations and service support Provide systems administration support as assigned, including user account management, access provisioning, Conditional Access policies and endpoint configuration. Assist with service desk escalations that require elevated access or advanced troubleshooting. Collaborate with Larson Technology Services colleagues on infrastructure projects, applying a security-first perspective to system design and change management. Requirements: Bachelor's degree in Cybersecurity, Computer Science, Information Systems or a related field, or equivalent professional experience. 8+ years of hands-on cybersecurity engineering experience, including at least 3 years at a senior or specialist level. Proven experience owning security compliance work aligned to frameworks such as NIST CSF, NIST SP 800-53, ISO 27001, SOC 2 or CIS Controls, including audit preparation and evidence management. Deep experience architecting, deploying and optimizing security tools such as EDR/XDR and vulnerability management platforms, including tuning, policy design and integration across the environment. Advanced proficiency building automation and tooling with scripting languages such as PowerShell and Python to reduce manual effort and improve security operations. Strong experience with SIEM and detection engineering, including developing and tuning detection rules, correlating data sources and mapping detections to frameworks such as MITRE ATT&CK. Experience applying AI tools and APIs to connect systems, automate workflows and build dashboards or reports, with sound judgment about data handling and risk. Extensive hands-on experience designing and securing Microsoft Azure and Entra ID environments, including Conditional Access, identity governance, privileged access management and cloud security posture. Experience authoring and maintaining security policies, standards and procedures, and driving their adoption across business and technical teams. Experience running phishing simulation platforms and security awareness programs, including measuring effectiveness and reporting on outcomes. Demonstrated ability to lead incident investigations and response, and to communicate findings and risk clearly to technical teams, executives and non-technical audiences. Ability to evaluate security solutions, build business cases and present well-supported recommendations to management and leadership. Ability to manage multiple competing priorities independently, balancing strategic projects with operational responsibilities in a fast-paced environment. Experience mentoring and providing technical guidance to technology staff. Preferred qualifications: Relevant certifications, such as CISSP, CISM, CISA, GCIH, CompTIA Security+, CEH, or Microsoft SC-200 or AZ-500. Experience with security architecture reviews, risk assessments, or third-party and vendor risk management. Experience with infrastructure as code or DevSecOps practices. Familiarity with financial services regulatory requirements, such as SEC and FINRA cybersecurity expectations, Regulation S-P and GLBA. Larson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other character protected by law. PI11172d4500bc-5088
11/12/2026
Full time
Description: Larson Financial Holdings LLC is seeking a proven Senior Cybersecurity Engineer to build and drive cybersecurity initiatives with an ownership mindset. The Senior Cybersecurity Engineer plays a critical role in protecting the organization's information systems, data and infrastructure. The role builds and improves security tools, automation and policies, including using AI tools to connect security platforms and produce monitoring dashboards. It also supports the day-to-day administration of cybersecurity operations: threat monitoring, incident response, compliance initiatives and security awareness. The role researches security improvements and implements them. As a member of the Larson Technology Services team, the Senior Cybersecurity Engineer also contributes to broader technology operations as needed, in a collaborative environment where team members support one another across technology functions to keep our services reliable and effective. Key responsibilities: Security engineering and tool development Design and build security controls across endpoint, identity, network and cloud environments, including Microsoft Azure and Entra ID. Research and evaluate new security tools; develop recommendations, business cases, proofs of concept and vendor assessments; and deploy and configure the tools selected. Build detection logic, automation and response playbooks. Perform threat modeling and security reviews for new systems, changes and projects, and recommend mitigations. Develop and improve security baselines and hardening standards. Integrate security tooling to reduce manual work, such as automating phishing triage, phishing campaign reporting and vulnerability ticketing. Use AI tools, APIs and low-code automation to connect security and SaaS platforms (for example EDR, vulnerability management, phishing simulation, Microsoft 365, Entra ID and ticketing) and consolidate their data. Build and maintain dashboards and reports for security monitoring, including vulnerability, phishing, incident and compliance metrics, using AI-assisted development and visualization tools. Use AI tools in line with organizational policy and data-handling requirements and recommend safeguards for AI use within the security environment. Cybersecurity operations Monitor, investigate and respond to security alerts and incidents, including phishing emails, malware alerts and unauthorized access attempts. Administer and maintain security tools, including endpoint detection and response (EDR) and vulnerability scanners. Remediate security incidents, conduct follow-up analysis, document findings and actions taken, and recommend process improvements based on lessons learned. Manage and respond to phishing reports submitted by staff; coordinate containment and communication; and tune detections and build automation to reduce false positives and manual triage. Perform regular vulnerability assessments, and work with system owners and end users to prioritize and remediate identified risks. Contribute to the planning and rollout of new cybersecurity objectives, tools and initiatives as the security program evolves. Security awareness and phishing simulations Plan and run recurring phishing simulation campaigns, including setup, scheduling and distribution. Analyze campaign results and identify departments or individuals who need additional training or follow-up. Develop and deliver security awareness communications, training materials and coaching based on simulation outcomes and leadership direction. Maintain records of simulation results and awareness training completion to support reporting and continuous improvement. Recommend improvements to the security awareness program, including training content, success metrics and risk-based targeting. Compliance and risk management Support day-to-day efforts to achieve and maintain compliance with applicable security controls. Conduct periodic control assessments, gather evidence and work with stakeholders to close compliance gaps. Draft and maintain security policies, standards, procedures, risk assessments and control inventories. Map security controls to applicable frameworks and recommend control improvements. Conduct risk assessments and recommend remediation priorities. Support internal and external audits and regulatory examinations by preparing evidence packages and responding to inquiries. Identify emerging risks and recommend policy or control improvements. Technology operations and service support Provide systems administration support as assigned, including user account management, access provisioning, Conditional Access policies and endpoint configuration. Assist with service desk escalations that require elevated access or advanced troubleshooting. Collaborate with Larson Technology Services colleagues on infrastructure projects, applying a security-first perspective to system design and change management. Requirements: Bachelor's degree in Cybersecurity, Computer Science, Information Systems or a related field, or equivalent professional experience. 8+ years of hands-on cybersecurity engineering experience, including at least 3 years at a senior or specialist level. Proven experience owning security compliance work aligned to frameworks such as NIST CSF, NIST SP 800-53, ISO 27001, SOC 2 or CIS Controls, including audit preparation and evidence management. Deep experience architecting, deploying and optimizing security tools such as EDR/XDR and vulnerability management platforms, including tuning, policy design and integration across the environment. Advanced proficiency building automation and tooling with scripting languages such as PowerShell and Python to reduce manual effort and improve security operations. Strong experience with SIEM and detection engineering, including developing and tuning detection rules, correlating data sources and mapping detections to frameworks such as MITRE ATT&CK. Experience applying AI tools and APIs to connect systems, automate workflows and build dashboards or reports, with sound judgment about data handling and risk. Extensive hands-on experience designing and securing Microsoft Azure and Entra ID environments, including Conditional Access, identity governance, privileged access management and cloud security posture. Experience authoring and maintaining security policies, standards and procedures, and driving their adoption across business and technical teams. Experience running phishing simulation platforms and security awareness programs, including measuring effectiveness and reporting on outcomes. Demonstrated ability to lead incident investigations and response, and to communicate findings and risk clearly to technical teams, executives and non-technical audiences. Ability to evaluate security solutions, build business cases and present well-supported recommendations to management and leadership. Ability to manage multiple competing priorities independently, balancing strategic projects with operational responsibilities in a fast-paced environment. Experience mentoring and providing technical guidance to technology staff. Preferred qualifications: Relevant certifications, such as CISSP, CISM, CISA, GCIH, CompTIA Security+, CEH, or Microsoft SC-200 or AZ-500. Experience with security architecture reviews, risk assessments, or third-party and vendor risk management. Experience with infrastructure as code or DevSecOps practices. Familiarity with financial services regulatory requirements, such as SEC and FINRA cybersecurity expectations, Regulation S-P and GLBA. Larson is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other character protected by law. PI11172d4500bc-5088
