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
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: You'll help build Confluent Cloud's AI capabilities - the layer that lets customers bring AI and AI agents capabilities directly to their real-time data. Instead of moving data out to a separate system to run inference or build an agent, our customers do it in place, on streaming data, as part of the same platform they already use to move and process events at scale. As an engineer, you'll own delivery of significant pieces of this product - not just writing code, but deciding how a capability should work across the services that make it up. The interesting problems here rarely live in one place: shipping something like inference-on-streaming-data or an AI agent that reacts to live events touches several systems at once - the user-facing API, the services that manage model and agent lifecycle, the control plane that schedules and runs the work, and the serving layer that actually executes inference. You'll be expected to reason across those boundaries, make sound design calls, and get engineers inside and outside the team aligned on the approach. What You Will Do: Design and build the backend services (primarily Go, Java, and Python) that run AI and model inference on real-time data. Own features end to end - drafting the design, aligning stakeholders inside and outside the team, and driving the decision to a conclusion. Make the technical calls on systems that span teams: model lifecycle, inference routing, and agent execution. Own the quality of what you ship - code, test coverage, documentation, operability, and rollout safety. This is production infrastructure serving live inference, so reliability isn't an afterthought. Make the engineers around you better through code review, design feedback, and being someone the team trusts with ambiguous, cross-cutting work. Participate in on-call for the services your team owns, and help keep the team's processes and rituals healthy. Required Skills 10+ years of significant experience designing, building, and operating distributed systems or cloud-native backend infrastructure in production .Strong working knowledge of Kubernetes and distributed-systems patterns (control loops, API servers, high-scale control planes), plus the fundamentals - containerization, networking, resource isolation. Proficiency in at least one of Go, Java, or Python, and the willingness to work across all three. A track record of leading cross-team technical work: turning ambiguous requirements into designs others can rally behind. Excellent written and verbal communication - you can write a design doc that aligns people who don't report to you. Preferred Skills Exposure to model serving, LLM/agent infrastructure, or streaming data systems. You don't need a background in ML research or model training - this role is about building and operating the platform that serves AI reliably at scale, not inventing the models. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
11/13/2026
Full time
Introduction At IBM Software, we transform client challenges into solutions. Building the world's leading AI-powered, cloud-native products that shape the future of business and society. Our legacy of innovation creates endless opportunities for IBMers to learn, grow, and make an impact on a global scale. Working in Software means joining a team fueled by curiosity and collaboration. You'll work with diverse technologies, partners, and industries to design, develop, and deliver solutions that power digital transformation. With a culture that values innovation, growth, and continuous learning, IBM Software places you at the heart of IBM's product and technology landscape. Here, you'll have the tools and opportunities to advance your career while creating software that changes the world. Your Role and Responsibilities About the Role: Today, enterprises stitch together separate systems for streaming, analytics, and serving. Each of these systems come with its own latency, cost, and operational overhead. The next evolution of Confluent's platform collapses that complexity by continuously materializing streaming data into fast, queryable state that serves real-time analytics, operational applications, and downstream intelligent systems from a single foundation. As a Staff Product Manager, you'll own the vision, strategy, and roadmap for the core streaming analytics engine underlying Confluent's real-time data platform. This system sits at the intersection of stream processing, real-time analytical databases, and modern serving infrastructure, continuously transforming data in motion into low-latency, queryable materialized views that power AI agents, dashboards, operational queries, and event-driven applications. You'll own the engine: the storage, materialization, query layer, and performance, while partnering with peer product managers who own the downstream product experiences built on top of it. This is a foundational, high-leverage role. You'll define a new product category that brings together concepts from streaming analytics, real-time OLAP, materialized views, and modern database systems into a cloud-native, streaming-first architecture. You'll partner directly with engineering, design, and senior leadership to bring this to market and position Confluent as a compelling alternative to standalone real-time analytical databases. What You Will Do: Own the product strategy for Confluent's streaming analytics engine: storage, materialization, query serving, performance, and developer experience. Develop competitive strategy against established real-time analytical databases, articulating Confluent's differentiated value as a streaming-native alternative. Drive key architectural and product tradeoffs across consistency, latency, query performance, cost, and developer ergonomics. Partner deeply with engineering to navigate the technical complexity of building a new cloud-native data system at scale. Collaborate with peer product managers who own downstream experiences including AI, context delivery, and application integration, to ensure the engine meets the needs of the products built on it. Work with customers and design partners to validate use cases across real-time analytics, operational applications, and AI, shaping the developer experience and refining go-to-market positioning. Collaborate with Confluent's broader product and platform teams to ensure tight integration with Kafka, Flink, and Confluent Cloud. Define success metrics, cost models, and pricing strategy for a new product area. Influence Confluent's company-wide platform strategy through executive-level communication and cross-functional leadership. Required Skills What You Will Bring: Bachelor's degree or equivalent practical experience. 8+ years of experience in product management or related technical roles. 5+ years of experience taking technical infrastructure or data products from conception to launch. Deep familiarity with real-time analytics, database internals, or streaming data platform architecture, either through product management or hands-on engineering. Experience defining and launching products in the data infrastructure, analytics database, or stream processing space. Strong technical judgment, comfortable navigating tradeoffs in distributed systems, storage engines, query performance, and cost optimization. Track record of leading cross-functional initiatives with executive-level visibility and communicating technical strategy to senior leadership. Preferred Skills Engineering background in analytical databases, stream processing, or distributed storage systems. Experience with real-time OLAP engines (e.g., ClickHouse, Apache Druid, StarRocks, Apache Pinot) as a builder, product manager, or power user. Familiarity with Kafka, Flink, or similar streaming infrastructure. Experience building products that serve AI/ML workloads for retrieval, feature serving, or context delivery. Prior experience with cloud-native infrastructure products and consumption-based pricing models. Experience working on open source data infrastructure projects. Additional Details (US) IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. Compensation, Benefits and Work Authorization The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year. IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
Description: GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. Requirements: U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIc68a4-6194
11/13/2026
Full time
Description: GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. Requirements: U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIc68a4-6194
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $124,000.00 - $171,000.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Applied Materials' Common Systems Software Department is searching for an experienced Software Engineer to join our team! Our department develops the software for the control system of our products, which includes the real-time control of devices such as robots, motors, generators, pumps, flow controllers and sensors. Our work also includes creating algorithms to optimize the material deposition and removal on an atomic scale, the design of the user interface, data collection, storage and analysis, machine learning and analytics, remote access and security. Key Responsibilities 1. Design and develops code for complex software projects 2. Troubleshoots a variety of difficult software problems. Designs and implements bug fixes 3. Designs and prototypes the user interface 4. Creates software specifications 5. Creates test plans for simulators, test benches or the lab 6. Develops software documentation 7. Interfaces with internal and external customers for requirement analysis, software troubleshooting and project scheduling Technical Skills • Proficiency and professional experience in C and C++ is required. • In addition, experience in programming in several of the following areas is desired: - Real-time Control - Motion Control - Embedded Programming - Multi-threading - CAN Bus - C#, .NET - Visual Studio - Matlab • Solves problems in moderately difficult to complex situations • Analyzes possible solutions using technical experience, judgment and precedents • Takes a new perspective on existing solutions • Exercises judgment based on the analysis of multiple sources of information Interpersonal Skills • Excellent written and oral communication skills • Works to build consensus Education: Master's Degree with 1 or more years of professional experience, or Bachelor's degree with 3 or more years of professional experience Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: No Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
11/13/2026
Full time
Who We Are Applied Materials is the global leader in materials science and engineering solutions that are at the foundation of virtually every new semiconductor chip and advanced display in the world. The equipment that we create and service is essential to advancing AI and accelerating the commercialization of next-generation semiconductor chips. Join us and push the boundaries of materials science and engineering in a company at the foundation of the electronics industry. The work we do together advances the world's technology. What We Offer Salary: $124,000.00 - $171,000.00 Location: Santa Clara,CA You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more. At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits . As a Software Engineer at Applied Materials, you'll dive deep into ground-breaking technologies-like machine learning and AI-to craft novel software solutions that solve our customers' high-value problems. Our Software Engineers are responsible for designing, prototyping, developing, and debugging software solutions for semiconductor equipment components and devices to ensure quality and functionality. You'll develop software documentation and test procedures, troubleshoot software problems, and communicate with internal customers to understand project requirements. As part of our team, you'll contribute your expertise in intricate systems, deciphering code, and anticipating software behaviors to ensure Applied remains the leader in the semiconductor and display sectors. Applied Materials, Inc. is the global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future. Applied Materials' Common Systems Software Department is searching for an experienced Software Engineer to join our team! Our department develops the software for the control system of our products, which includes the real-time control of devices such as robots, motors, generators, pumps, flow controllers and sensors. Our work also includes creating algorithms to optimize the material deposition and removal on an atomic scale, the design of the user interface, data collection, storage and analysis, machine learning and analytics, remote access and security. Key Responsibilities 1. Design and develops code for complex software projects 2. Troubleshoots a variety of difficult software problems. Designs and implements bug fixes 3. Designs and prototypes the user interface 4. Creates software specifications 5. Creates test plans for simulators, test benches or the lab 6. Develops software documentation 7. Interfaces with internal and external customers for requirement analysis, software troubleshooting and project scheduling Technical Skills • Proficiency and professional experience in C and C++ is required. • In addition, experience in programming in several of the following areas is desired: - Real-time Control - Motion Control - Embedded Programming - Multi-threading - CAN Bus - C#, .NET - Visual Studio - Matlab • Solves problems in moderately difficult to complex situations • Analyzes possible solutions using technical experience, judgment and precedents • Takes a new perspective on existing solutions • Exercises judgment based on the analysis of multiple sources of information Interpersonal Skills • Excellent written and oral communication skills • Works to build consensus Education: Master's Degree with 1 or more years of professional experience, or Bachelor's degree with 3 or more years of professional experience Additional Information Time Type: Full time Employee Type: Assignee / Regular Travel: No Relocation Eligible: No The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable. For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement. Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at , or by calling our HR Direct Help Line at , option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.
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.
Payrate: $76.00 - $76.92/hr. Responsibilities: Position Activities and Tasks Should be able to design complex and high performance Data architecture Developing and maintaining strong relations with senior executives-developing new insights into the client's business model and pain points, and delivering actionable, high-impact results Participating and leading key engagements, in developing plans and strategies of data management processes and IT programs for the business, providing hands on assistance in data modeling, technical implementation of big data solutions Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams Leading and mentoring other developers within the team Identify the performance bottle-necks and resolve the same Should be able to work in a team Ability to produce high quality work products under pressure and within deadlines To coordinate with developers / other architects / other stakeholders and cross functional teams from organization Qualifications: 5-7 years of experience in designing and implementing large scale data processing/data storage/data distribution systems Extensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, GCP Big data services and industry standard frameworks Ability to work with a multi-technology/cross-functional teams and key stakeholders to guide/manage a full life-cycle solution Extensive experience in Relational and MPP database platforms like (GCP Bigquery/Hive/Cloud SQL etc) Open source Hadoop stack/Spark framework Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data Excellent problem solving, hands-on engineering skills and communication skills Broad understanding and experience of real-time analytics Participate in full Software Development Life Cycle (SDLC) of the Big Data Solution Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. Technical Skills Required: Any combination of below technical skills Hadoop : HDFS, MapReduce, Hive, Airflow DW : Bigquery, Hive Languages : Python, PySpark, Shell Scripting, SQL Scripting Cloud : GCP Big data native services Any RDBMS/DWBI technologies Spark(Mandatory): Spark on GCP Dataproc Education: Bachelor's degree in a technical field such as computer science, computer engineering or related field required. Skills: MapReduce Python Bigquery Pay Transparency: The typical base pay for this role across the U.S. is: $76.00 - $76.92/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC's use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying "STOP" to :messages or by contacting . For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy
11/13/2026
Full time
Payrate: $76.00 - $76.92/hr. Responsibilities: Position Activities and Tasks Should be able to design complex and high performance Data architecture Developing and maintaining strong relations with senior executives-developing new insights into the client's business model and pain points, and delivering actionable, high-impact results Participating and leading key engagements, in developing plans and strategies of data management processes and IT programs for the business, providing hands on assistance in data modeling, technical implementation of big data solutions Facilitating, guiding, and influencing the clients and teams towards right information technology architecture and becoming interface between Business leadership, Tech leadership and the delivery teams Leading and mentoring other developers within the team Identify the performance bottle-necks and resolve the same Should be able to work in a team Ability to produce high quality work products under pressure and within deadlines To coordinate with developers / other architects / other stakeholders and cross functional teams from organization Qualifications: 5-7 years of experience in designing and implementing large scale data processing/data storage/data distribution systems Extensive experience working with large data sets with hands-on technology skills to design and build robust Big Data solutions using Spark framework, GCP Big data services and industry standard frameworks Ability to work with a multi-technology/cross-functional teams and key stakeholders to guide/manage a full life-cycle solution Extensive experience in Relational and MPP database platforms like (GCP Bigquery/Hive/Cloud SQL etc) Open source Hadoop stack/Spark framework Strong understanding of Big Data Analytics platforms and ETL in the context of Big Data Excellent problem solving, hands-on engineering skills and communication skills Broad understanding and experience of real-time analytics Participate in full Software Development Life Cycle (SDLC) of the Big Data Solution Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. Technical Skills Required: Any combination of below technical skills Hadoop : HDFS, MapReduce, Hive, Airflow DW : Bigquery, Hive Languages : Python, PySpark, Shell Scripting, SQL Scripting Cloud : GCP Big data native services Any RDBMS/DWBI technologies Spark(Mandatory): Spark on GCP Dataproc Education: Bachelor's degree in a technical field such as computer science, computer engineering or related field required. Skills: MapReduce Python Bigquery Pay Transparency: The typical base pay for this role across the U.S. is: $76.00 - $76.92/hr. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary. You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC's use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions. Calls may be recorded. Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying "STOP" to :messages or by contacting . For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy
Genesis10 is currently seeking a Data Engineer for a contract-to-hire position with a Global Manufacturing Company located in Whitehall, MI. This is a 6+ month contract-to-hire opportunity. Compensation: $40.00 - $60.00 per hour, W2, based on qualifications Position Overview: In this role, the successful candidate will collaborate closely with data scientists, data analysts, and IT counterparts to design data pipelines for the AI and analytical needs of a large manufacturing enterprise. This position involves modeling, building, and optimizing complex, scalable ETLs and data pipelines to support on-premise and cloud-based data warehouses and data lakes using SQL and Azure technologies. Extensive interaction with functional and IT resources will be required, making effective communication skills essential. Key Responsibilities: Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies Design scalable data models and integration patterns to support enterprise analytics and AI initiatives Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems Build and maintain data integration pipelines for plant, business unit, or enterprise applications Implement data validation, monitoring, quality controls, and data governance best practices Develop reusable semantic models, datasets, and data products that enable self-service analytics Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency Primary Requirements: Bachelor's degree with 3+ years of experience OR a High school diploma with 6+ years of experience Experience writing Python Experience in Azure Synapse or Fabric (ETL/ELT) Experience using DevOps to streamline pipeline deployment Ability to communicate technical concepts to non-technical audiences Passionate about moving technology forward and enjoys working in a collaborative team environment ITAR Compliance required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/13/2026
Full time
Genesis10 is currently seeking a Data Engineer for a contract-to-hire position with a Global Manufacturing Company located in Whitehall, MI. This is a 6+ month contract-to-hire opportunity. Compensation: $40.00 - $60.00 per hour, W2, based on qualifications Position Overview: In this role, the successful candidate will collaborate closely with data scientists, data analysts, and IT counterparts to design data pipelines for the AI and analytical needs of a large manufacturing enterprise. This position involves modeling, building, and optimizing complex, scalable ETLs and data pipelines to support on-premise and cloud-based data warehouses and data lakes using SQL and Azure technologies. Extensive interaction with functional and IT resources will be required, making effective communication skills essential. Key Responsibilities: Design, develop, and support scalable Data Lake, Lakehouse, Data Warehouse, and AI-enabled data platforms across cloud and hybrid environments Design and develop ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, or similar technologies Design scalable data models and integration patterns to support enterprise analytics and AI initiatives Establish event-driven, streaming, batch, and API-based integration patterns across enterprise systems Build and maintain data integration pipelines for plant, business unit, or enterprise applications Implement data validation, monitoring, quality controls, and data governance best practices Develop reusable semantic models, datasets, and data products that enable self-service analytics Optimize Power BI performance, data refresh processes, and security, including Row-Level Security (RLS) and workspace governance Collaborate with business stakeholders to define reporting requirements, KPIs, and analytics solutions Optimize SQL queries and data processing performance to ensure scalable and efficient data solutions Evaluate emerging data and AI technologies and recommend solutions that improve business processes and operational efficiency Primary Requirements: Bachelor's degree with 3+ years of experience OR a High school diploma with 6+ years of experience Experience writing Python Experience in Azure Synapse or Fabric (ETL/ELT) Experience using DevOps to streamline pipeline deployment Ability to communicate technical concepts to non-technical audiences Passionate about moving technology forward and enjoys working in a collaborative team environment ITAR Compliance required Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). 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: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). 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.
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more. Basic Qualifications: 5+ years of experience in data analytics, data engineering, or business intelligence Expert-level SQL proficiency - complex joins, window functions, CTEs, subqueries, query optimization, and performance tuning in Client Redshift or similar MPP databases Demonstrated experience conducting RCA, implementing fixes, and building enhancements on data pipelines, reports, and analytics systems Proven ability to convert business requirements into technical data solutions - pipeline logic, SQL transformations, report builds, and data model changes Deep experience creating dashboards, reports, analyses, and datasets using BI tools - Client QuickSight strongly preferred; Tableau, Power BI, or similar also acceptable Proven ability to work with business stakeholders to define metrics and KPIs, and drive the build of reporting solutions Strong understanding of data integration and ETL/ELT concepts - extraction patterns, transformation logic, load strategies, incremental vs. full refresh, CDC, and pipeline architecture Deep knowledge of data warehouse and data mart design - star schema, snowflake schema, fact/dimension tables, slowly changing dimensions, and aggregation layers Hands-on experience with Apache Airflow - ability to read DAG code, understand task dependencies, troubleshoot failures, and drive fixes with engineering teams Strong Python programming skills (pandas, boto3, SQL libraries, automation scripting) Working knowledge of AWS cloud services (Redshift, S3, Glue, Athena, Lambda) Track record of collaborating with engineering teams to drive data requirements and solution design. V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.
11/13/2026
Full time
V2Soft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills, MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level 3 and ISO standards, V2Soft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company! Please visit us at to know more. Basic Qualifications: 5+ years of experience in data analytics, data engineering, or business intelligence Expert-level SQL proficiency - complex joins, window functions, CTEs, subqueries, query optimization, and performance tuning in Client Redshift or similar MPP databases Demonstrated experience conducting RCA, implementing fixes, and building enhancements on data pipelines, reports, and analytics systems Proven ability to convert business requirements into technical data solutions - pipeline logic, SQL transformations, report builds, and data model changes Deep experience creating dashboards, reports, analyses, and datasets using BI tools - Client QuickSight strongly preferred; Tableau, Power BI, or similar also acceptable Proven ability to work with business stakeholders to define metrics and KPIs, and drive the build of reporting solutions Strong understanding of data integration and ETL/ELT concepts - extraction patterns, transformation logic, load strategies, incremental vs. full refresh, CDC, and pipeline architecture Deep knowledge of data warehouse and data mart design - star schema, snowflake schema, fact/dimension tables, slowly changing dimensions, and aggregation layers Hands-on experience with Apache Airflow - ability to read DAG code, understand task dependencies, troubleshoot failures, and drive fixes with engineering teams Strong Python programming skills (pandas, boto3, SQL libraries, automation scripting) Working knowledge of AWS cloud services (Redshift, S3, Glue, Athena, Lambda) Track record of collaborating with engineering teams to drive data requirements and solution design. V2Soft is an Equal Opportunity Employer ( EOE). We welcome applicants from all backgrounds, including individuals with disabilities and veterans. - to view all of our open opportunities and to learn more about our benefits.
Job Title: Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance Location: Plano, TX (Local candidates only. Hybrid, 3 days onsite per week required.) Duration: Contract - 12 months Pay Range: $73.67/hr (W2) Job ID: 412083 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance to serve as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The ideal candidate will demonstrate strong experience in AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance, with a proven ability to translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions while partnering closely with CIO architecture teams, platform engineering, security, and risk. Responsibilities: Define enterprise AI architecture strategy, patterns, and reference architectures. Establish decision frameworks for AI platform selection, solution design, and deployment approaches. Develop governance models, standards, and guardrails for AI and agentic solutions. Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts. Align AI architecture with enterprise security, risk, compliance, and control requirements. Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation. Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight. Drive standards for deterministic, probabilistic, and hybrid automation models. Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows. Guide adoption of emerging AI interoperability standards and architectures, including MCP where applicable. Develop decision guidance for model selection, orchestration approaches, and AI solution architectures. Partner with platform teams to align enterprise AI capabilities with business and technology needs. Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures. Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval. Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities. Embed security through architecture patterns covering identity, access, data protection, and policy enforcement. Translate complex AI concepts into clear, actionable guidance for technical and business audiences. Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices. Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives. Promote responsible AI adoption through practical governance and architectural guardrails. Required Skills & Qualifications: 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design. 8+ years architecting AI/ML, NLP, or advanced analytics solutions. 2+ years designing enterprise GenAI, RAG, and agentic AI solutions. Strong knowledge of LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures. Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, and Azure OpenAI or equivalents. Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns. Understanding of security, governance, privacy, and risk considerations for AI solutions. Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments. Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences. Preferred Skills: Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards. Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot. Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures. Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures. Experience defining AI governance, model lifecycle management, and responsible AI practices. Experience operating in large-scale, highly regulated enterprise environments. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
11/13/2026
Full time
Job Title: Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance Location: Plano, TX (Local candidates only. Hybrid, 3 days onsite per week required.) Duration: Contract - 12 months Pay Range: $73.67/hr (W2) Job ID: 412083 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking an experienced Enterprise AI Architect - GenAI / Agentic AI / RAG / AI Governance to serve as a senior AI architecture leader responsible for defining enterprise patterns, standards, and decision frameworks that guide the adoption of AI across Global Technology. The ideal candidate will demonstrate strong experience in AI platforms, agentic systems, retrieval architectures, model integration, workflow automation, and enterprise AI governance, with a proven ability to translate rapidly evolving AI capabilities into practical, scalable, and governed enterprise solutions while partnering closely with CIO architecture teams, platform engineering, security, and risk. Responsibilities: Define enterprise AI architecture strategy, patterns, and reference architectures. Establish decision frameworks for AI platform selection, solution design, and deployment approaches. Develop governance models, standards, and guardrails for AI and agentic solutions. Drive consistency and reuse through enterprise AI patterns, templates, and guidance artifacts. Align AI architecture with enterprise security, risk, compliance, and control requirements. Define architecture patterns for enterprise AI agents, multi-agent systems, and workflow automation. Establish guidance for agent orchestration, planning, memory, tool invocation, and human oversight. Drive standards for deterministic, probabilistic, and hybrid automation models. Define integration patterns for agent-to-agent communication, tool usage, and enterprise workflows. Guide adoption of emerging AI interoperability standards and architectures, including MCP where applicable. Develop decision guidance for model selection, orchestration approaches, and AI solution architectures. Partner with platform teams to align enterprise AI capabilities with business and technology needs. Define patterns for RAG, vector databases, semantic retrieval, and enterprise knowledge architectures. Guide architecture decisions for AI-ready data access, grounding, and contextual retrieval. Guide architecture decisions involving AI Gateway, API Gateway, and MCP Gateway capabilities. Embed security through architecture patterns covering identity, access, data protection, and policy enforcement. Translate complex AI concepts into clear, actionable guidance for technical and business audiences. Communicate effectively with senior stakeholders on business value, risk, operating models, and technology choices. Act as a senior AI architecture leader driving alignment across multiple organizations and initiatives. Promote responsible AI adoption through practical governance and architectural guardrails. Required Skills & Qualifications: 15+ years in enterprise architecture, solution architecture, software engineering, or distributed systems design. 8+ years architecting AI/ML, NLP, or advanced analytics solutions. 2+ years designing enterprise GenAI, RAG, and agentic AI solutions. Strong knowledge of LLMs, RAG, embeddings, vector databases, evaluation frameworks, and agent-based architectures. Experience with enterprise AI platforms such as Microsoft Copilot Studio, Azure AI services, and Azure OpenAI or equivalents. Familiarity with AI orchestration frameworks, workflow automation, and enterprise integration patterns. Understanding of security, governance, privacy, and risk considerations for AI solutions. Proven ability to influence senior stakeholders and drive architecture decisions in regulated environments. Strong communication skills with the ability to simplify complex AI concepts and drive alignment across technical and business audiences. Preferred Skills: Experience with agentic AI, multi-agent systems, MCP, and emerging AI interoperability standards. Experience with Microsoft AI ecosystem capabilities including Copilot Studio, Azure AI Foundry, Azure OpenAI, and GitHub Copilot. Experience with AWS AI services including Amazon Bedrock, SageMaker, and AI application architectures. Knowledge of knowledge graphs, semantic search, vector databases, and enterprise retrieval architectures. Experience defining AI governance, model lifecycle management, and responsible AI practices. Experience operating in large-scale, highly regulated enterprise environments. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients. A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume.
Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
11/13/2026
Full time
Genesis10 is currently seeking a Principal Data Lead for a remote or hybrid position with a Financial Services Consulting Firm located in Scottsdale, AZ or Raleigh, NC. This is a contract-to-hire opportunity. Compensation: $150.00 - $160.00 per hour, W2, based on qualifications Position Overview: This is a hands-on Lead Solutions Architect role for a candidate who designs, builds, and leads. As a working architect, you will spend a significant share of your time in the platforms themselves, configuring and extending Dynamics 365 Project Operations and Finance & Operations, modeling data in Dataverse and the Enterprise Data Warehouse, writing and reviewing transformation code, and tuning Power BI semantic models. You will lead a team of developers, data engineers, and analysts, setting the technical direction and owning design standards. Key Responsibilities: Serve as the lead technical architect for Dynamics 365 Project Operations, Finance & Operations and Dataverse, owning the end-to-end solution design Personally design and build data models, entities, integrations, workflows and extensions, and resolve complex configuration, performance and data issues Design and implement integrations between Dynamics 365, the Data Warehouse and other enterprise systems using Dataverse, Azure Data Factory, Fabric pipelines, APIs and the Power Platform Review and approve customizations, extensions and ALM practices (solution layering, source control, environment strategy and deployment pipelines) Translate business processes in finance, project delivery and operations into sound, maintainable system designs Own the architecture of the Enterprise Data Warehouse and Microsoft Fabric environment, including lakehouse and warehouse layers, dimensional models and data marts Build and review ingestion and transformation pipelines, SQL, notebooks and stored procedures Design dimensional and semantic models (facts, dimensions, conformed dimensions, slowly changing dimensions) that serve Power BI and AI workloads consistently Architect Power BI semantic models, dataflows, row-level security and deployment pipelines, and set performance and reuse standards for reports and dashboards Establish and maintain end-to-end data lineage from source systems through to Power BI reports and AI models Define, document and enforce design standards including naming conventions, modeling patterns, and coding standards Lead, hire, coach and develop a team of Dynamics developers, data engineers and BI developers Design the data foundations that AI and machine learning solutions depend on, ensuring governed, well-lineaged and high-quality data feeds Primary Requirements: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering or a related field 8+ years of hands-on experience in solution, data or analytics architecture, including recent, direct build experience (not solely oversight) Deep hands-on experience with Dynamics 365 Finance & Operations and/or Project Operations, Dataverse and the Power Platform Strong hands-on expertise in data warehouse design and engineering: dimensional modeling, SQL, ETL/ELT pipelines, and Microsoft Fabric or Azure Synapse/SQL Demonstrated experience implementing and maintaining data lineage, metadata management and source-to-target documentation Proven track record of defining and enforcing design and coding standards through design reviews and code reviews 3+ years of experience directly managing technical staff, including hiring, coaching and performance management Advanced Power BI skills, including semantic modeling, DAX, row-level security and deployment pipelines Desired Skills: Microsoft certifications such as Dynamics 365 Finance and Operations Apps Solution Architect Expert, Fabric Analytics Engineer Associate or Azure Data Engineer Associate Experience with Microsoft Purview or other data catalog and lineage tools Experience in a professional services or project-based business Exposure to AI and machine learning data pipelines and responsible AI governance Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all of our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Senior RF Integration & Test (I&T) Engineer Contract 40 hours weekly 12+ months Onsite with client 3+ days per week as needed by the program Active Secret Clearance required Client is focused on delivering National Defense capabilities by driving mission-focused strategies to develop advanced technology systems enabling products and solutions focused on achieving the customer vision. Our programs deliver sustainable, reliable, and cost-efficient capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. We consider the entire lifecycle of the solution, from conceptualization and architecting, through development to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. We are seeking a Senior RF Integration & Test (I&T) Engineer to support integration and test of advanced multi-function RF systems. The I&T Engineer should have experience performing subsystem and system level integration and test of software and/or hardware components to include building test sets and test software to verify system interfaces and functionality implementation against requirements. The I&T Engineer should have familiarity with automated test tools and techniques, writing and executing test plans and procedures, and contributing to system design packages. This position offers the opportunity to work with leading domain experts in sensors development, data analytics, and cyber security. The RF I&T Engineer will be expected to work closely with development teams to execute system testing both in a lab environment as well as field tests. This position is well suited for an engineer who has experience building DoD systems and is interested in hands on testing and fielding of novel systems developed by Client What you will do: Working closely with domain experts, development teams, and systems engineers to design and develop hardware test sets and test software Hands on integration work in both hardware labs and field-test environments to ensure that software and hardware components are integrated into the system according to specification Experience in preparing and delivering briefings, familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMS, TRRs) Work as an integral part of a product team on RF related programs supporting system/mission level integration and testing. Document and independently execute test plans and procedures on RF systems Perform data analysis and post processing on test data (e.g. IQ data) using MATLAB / Python or other software tools Who you are: This position requires an?Active DoD Secret Clearance?with the ability to obtain a Top Secret (TS) Security Clearance, for which U.S. citizenship is needed by the U.S. Government BS in Computer Science, Electrical Engineering, Systems Engineering, Aerospace Engineering, or related technical field with a minimum 5 years of relevant experience Strong RF fundamentals including cascade analysis, transmission line theory, and filtering Proficiency in digital signal processing concepts including IQ sampling, digital modulation, signal analysis, and multichannel coherency and alignment. Experience designing tests for RF systems, including specifying aspects such as antenna patterns, environmental effects, link budgets, and frequency control related to radar and electronic warfare systems Perform subsystem and system level integration test of firmware, software and/or hardware components and assemblies Experience with RF test equipment such as spectrum analyzer, signal generator, network analyzer, power meters, and high-speed oscilloscopes Proficiency in testing RF Systems utilizing high speed analog to digital convertors including software defined radios Proficiency in one of the following: Python, MATLAB Experience working in a Linux environment Familiarity with containerized software such as Podman/Docker Familiarity with C++ and C Familiarity with Agile Systems Engineering using Jira, Confluence, BitBucket, Gitlab Minimum of 2 years of experience testing RF systems Nice to Have: Active Top Secret Security Clearance Domain expertise in one or more of the following areas is desirable; Radar, Electronic Warfare, Antenna Apertures, Sensor Resource Management, Sea/Air/Space, Large-Scale Platform Test Systems, Cyber Physical Systems, Open System Architectures (UCI, OMS, COARPS) Previous experience with Ansible, Podman/Docker, Unit Test Frameworks, Artifactory Experience capturing and communicating test results and metrics for external audiences Proficiency in automated test tools and techniques Proficiency in bash scripting
11/13/2026
Full time
Senior RF Integration & Test (I&T) Engineer Contract 40 hours weekly 12+ months Onsite with client 3+ days per week as needed by the program Active Secret Clearance required Client is focused on delivering National Defense capabilities by driving mission-focused strategies to develop advanced technology systems enabling products and solutions focused on achieving the customer vision. Our programs deliver sustainable, reliable, and cost-efficient capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. We consider the entire lifecycle of the solution, from conceptualization and architecting, through development to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. We are seeking a Senior RF Integration & Test (I&T) Engineer to support integration and test of advanced multi-function RF systems. The I&T Engineer should have experience performing subsystem and system level integration and test of software and/or hardware components to include building test sets and test software to verify system interfaces and functionality implementation against requirements. The I&T Engineer should have familiarity with automated test tools and techniques, writing and executing test plans and procedures, and contributing to system design packages. This position offers the opportunity to work with leading domain experts in sensors development, data analytics, and cyber security. The RF I&T Engineer will be expected to work closely with development teams to execute system testing both in a lab environment as well as field tests. This position is well suited for an engineer who has experience building DoD systems and is interested in hands on testing and fielding of novel systems developed by Client What you will do: Working closely with domain experts, development teams, and systems engineers to design and develop hardware test sets and test software Hands on integration work in both hardware labs and field-test environments to ensure that software and hardware components are integrated into the system according to specification Experience in preparing and delivering briefings, familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMS, TRRs) Work as an integral part of a product team on RF related programs supporting system/mission level integration and testing. Document and independently execute test plans and procedures on RF systems Perform data analysis and post processing on test data (e.g. IQ data) using MATLAB / Python or other software tools Who you are: This position requires an?Active DoD Secret Clearance?with the ability to obtain a Top Secret (TS) Security Clearance, for which U.S. citizenship is needed by the U.S. Government BS in Computer Science, Electrical Engineering, Systems Engineering, Aerospace Engineering, or related technical field with a minimum 5 years of relevant experience Strong RF fundamentals including cascade analysis, transmission line theory, and filtering Proficiency in digital signal processing concepts including IQ sampling, digital modulation, signal analysis, and multichannel coherency and alignment. Experience designing tests for RF systems, including specifying aspects such as antenna patterns, environmental effects, link budgets, and frequency control related to radar and electronic warfare systems Perform subsystem and system level integration test of firmware, software and/or hardware components and assemblies Experience with RF test equipment such as spectrum analyzer, signal generator, network analyzer, power meters, and high-speed oscilloscopes Proficiency in testing RF Systems utilizing high speed analog to digital convertors including software defined radios Proficiency in one of the following: Python, MATLAB Experience working in a Linux environment Familiarity with containerized software such as Podman/Docker Familiarity with C++ and C Familiarity with Agile Systems Engineering using Jira, Confluence, BitBucket, Gitlab Minimum of 2 years of experience testing RF systems Nice to Have: Active Top Secret Security Clearance Domain expertise in one or more of the following areas is desirable; Radar, Electronic Warfare, Antenna Apertures, Sensor Resource Management, Sea/Air/Space, Large-Scale Platform Test Systems, Cyber Physical Systems, Open System Architectures (UCI, OMS, COARPS) Previous experience with Ansible, Podman/Docker, Unit Test Frameworks, Artifactory Experience capturing and communicating test results and metrics for external audiences Proficiency in automated test tools and techniques Proficiency in bash scripting
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: $60.00hr - $65.00hr Job Overview: The candidate should possess 5+ years of hands-on experience in data modeling, data architecture, or database design roles. Responsibilities and Requirements: Demonstrate expert proficiency with Erwin Data Modeler (version 9.x or higher preferred), including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality. Utilize advanced SQL skills and a deep understanding of Oracle (11g/12c/19c/21c), including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design. Build both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics. Demonstrate strong command of DDL, including creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Apply solid understanding of data modeling theory, including entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity. Apply a solid grasp of database internals, including indexing strategies, partitioning, clustering, and query execution plans. Utilize data modeling best practices, including normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD). Produce and maintain data dictionaries, metadata, and data lineage documentation. Demonstrate familiarity with version control (e.g., Git) and model comparison/diff tools. Demonstrate excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences. Demonstrate self-motivation with an ability to multitask. Work effectively in a team environment. Preferred Qualifications: Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements. Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation). Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios. Working knowledge of ETL/ELT tools and data integration patterns. Experience supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server. Experience working with PostgreSQL. Data vault experience. Experience with Hadoop/MongoDB. 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: $60.00hr - $65.00hr Job Overview: The candidate should possess 5+ years of hands-on experience in data modeling, data architecture, or database design roles. Responsibilities and Requirements: Demonstrate expert proficiency with Erwin Data Modeler (version 9.x or higher preferred), including subject areas, model templates, DDL generation, forward/reverse engineering, model versioning, and complete compare functionality. Utilize advanced SQL skills and a deep understanding of Oracle (11g/12c/19c/21c), including SQL, PL/SQL, schema design, and performance tuning fundamentals as they relate to data model design. Build both normalized (3NF) transactional models and dimensional models (star/snowflake) for reporting and analytics. Demonstrate strong command of DDL, including creating and modifying tables, indexes, constraints, sequences, synonyms, and materialized views. Apply solid understanding of data modeling theory, including entity-relationship modeling, normalization/denormalization, cardinality, keys, and referential integrity. Apply a solid grasp of database internals, including indexing strategies, partitioning, clustering, and query execution plans. Utilize data modeling best practices, including normalization, denormalization, surrogate keys, and slowly changing dimensions (SCD). Produce and maintain data dictionaries, metadata, and data lineage documentation. Demonstrate familiarity with version control (e.g., Git) and model comparison/diff tools. Demonstrate excellent communication skills with the ability to clearly explain modeling decisions to both technical and non-technical audiences. Demonstrate self-motivation with an ability to multitask. Work effectively in a team environment. Preferred Qualifications: Experience in a regulated industry (utilities, financial services, insurance, healthcare) with associated data governance and compliance requirements. Familiarity with additional modeling or metadata tools (e.g., ER/Studio, PowerDesigner, Collibra, Alation). Exposure to cloud data platforms (e.g., Oracle Cloud, AWS, Azure, Snowflake, Databricks) and hybrid on-prem/cloud modeling scenarios. Working knowledge of ETL/ELT tools and data integration patterns. Experience supporting master data management (MDM) or data governance initiatives. Experience working with Microsoft SQL Server. Experience working with PostgreSQL. Data vault experience. Experience with Hadoop/MongoDB. 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.
Job Title: Enterprise Observability Architect - OpenTelemetry & AIOps Position Overview Drive enterprise-wide observability transformation by defining architecture strategies, establishing governance standards, and building unified monitoring ecosystems across complex technology environments. This role offers an opportunity to lead OpenTelemetry adoption, architect telemetry pipelines, integrate enterprise observability platforms, and advance proactive monitoring and AIOps capabilities. The position requires deep Infrastructure & Operations expertise, enterprise architecture experience, and the ability to collaborate with cross-functional technology teams and executive stakeholders. What You'll Do / Key Responsibilities Define enterprise observability strategy, standards, and governance. Architect and lead OpenTelemetry adoption across infrastructure and applications. Design telemetry pipelines for metrics, logs, traces, and events. Integrate Observe, Dynatrace, SolarWinds, Snowflake, and other monitoring platforms into a unified observability ecosystem. Establish service health, business service monitoring, SLOs, SLIs, and reliability KPIs. Drive observability transformation from reactive monitoring to proactive detection and predictive analytics. Develop architecture patterns for cloud, on-premises, hybrid, and Kubernetes/OpenShift environments. Partner with Infrastructure, Operations, Application, Network, Security, and Platform teams. Enable AI/AIOps use cases through telemetry standardization and data engineering practices. Lead root cause analysis improvements, incident reduction initiatives, and operational excellence programs. Provide technical leadership, roadmaps, governance, and executive-level recommendations. Required Qualifications Expert knowledge of OpenTelemetry architecture and instrumentation. Strong experience with Observe, Dynatrace, SolarWinds, Splunk, Datadog, or similar observability platforms. Deep understanding of Infrastructure & Operations, cloud platforms, Linux, Windows, Kubernetes/OpenShift, networking, and databases. Experience with telemetry data pipelines, APIs, automation, and observability architectures. Strong stakeholder engagement and executive communication skills. 12-18+ years of overall IT Infrastructure/Operations experience. 5+ years of observability/monitoring architecture experience. Preferred Qualifications Experience working in enterprise-scale environments. Fortune 500 enterprise experience preferred. 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
Job Title: Enterprise Observability Architect - OpenTelemetry & AIOps Position Overview Drive enterprise-wide observability transformation by defining architecture strategies, establishing governance standards, and building unified monitoring ecosystems across complex technology environments. This role offers an opportunity to lead OpenTelemetry adoption, architect telemetry pipelines, integrate enterprise observability platforms, and advance proactive monitoring and AIOps capabilities. The position requires deep Infrastructure & Operations expertise, enterprise architecture experience, and the ability to collaborate with cross-functional technology teams and executive stakeholders. What You'll Do / Key Responsibilities Define enterprise observability strategy, standards, and governance. Architect and lead OpenTelemetry adoption across infrastructure and applications. Design telemetry pipelines for metrics, logs, traces, and events. Integrate Observe, Dynatrace, SolarWinds, Snowflake, and other monitoring platforms into a unified observability ecosystem. Establish service health, business service monitoring, SLOs, SLIs, and reliability KPIs. Drive observability transformation from reactive monitoring to proactive detection and predictive analytics. Develop architecture patterns for cloud, on-premises, hybrid, and Kubernetes/OpenShift environments. Partner with Infrastructure, Operations, Application, Network, Security, and Platform teams. Enable AI/AIOps use cases through telemetry standardization and data engineering practices. Lead root cause analysis improvements, incident reduction initiatives, and operational excellence programs. Provide technical leadership, roadmaps, governance, and executive-level recommendations. Required Qualifications Expert knowledge of OpenTelemetry architecture and instrumentation. Strong experience with Observe, Dynatrace, SolarWinds, Splunk, Datadog, or similar observability platforms. Deep understanding of Infrastructure & Operations, cloud platforms, Linux, Windows, Kubernetes/OpenShift, networking, and databases. Experience with telemetry data pipelines, APIs, automation, and observability architectures. Strong stakeholder engagement and executive communication skills. 12-18+ years of overall IT Infrastructure/Operations experience. 5+ years of observability/monitoring architecture experience. Preferred Qualifications Experience working in enterprise-scale environments. Fortune 500 enterprise experience preferred. 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.
JOB TITLE: Artificial Intelligence Engineer JOB LOCATION: Boston, MA, WAGE RANGE : $85-$90 JOB NUMBER: Client-27-1044-EPS17-OTIS-135351, FY27_EOPSS_ITS87 JOB DESCRIPTION We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value. Proven experience architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories to deliver accurate, context-aware, and scalable generative AI applications. Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations. Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability. Ability to integrate LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures Implement technical efforts to design, build, and deploy AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance. Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability. Educate cross-functional teams on the implementation of new cloud-based data initiatives, providing associated training and technical documentation when necessary. Demonstrate exceptional problem-solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity. Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently. Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance. Configure and manage virtual compute resources ( AWS EC2 and Snowflake Virtual Warehouses), focusing on optimal configuration, sizing, elasticity, auto-scaling, and cost control. Implement and maintain rigorous security configurations, including AWS IAM, Snowflake Role-Based Access Control (RBAC), network policies, and Row/Column-level security to protect sensitive data. Perform data platform administrative functions across AWS and Snowflake, ensuring smooth operations, query optimization, storage management, and compliance with best practices. Configure and manage load balancing strategies and failover routing ( AWS ELB/Route 53) to ensure high availability and fault tolerance across data applications and BI endpoints. Design and manage AWS VPC networks, security groups, and private endpoints ( AWS PrivateLink) to ensure secure, efficient, and private connectivity between AWS, Snowflake, and Tableau. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
11/13/2026
Full time
JOB TITLE: Artificial Intelligence Engineer JOB LOCATION: Boston, MA, WAGE RANGE : $85-$90 JOB NUMBER: Client-27-1044-EPS17-OTIS-135351, FY27_EOPSS_ITS87 JOB DESCRIPTION We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value. Proven experience architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories to deliver accurate, context-aware, and scalable generative AI applications. Strong knowledge of enterprise AI security practices, including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls across AI Gateway, MCP, RAG, and agentic AI implementations. Experience in optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization while maintaining application performance and reliability. Ability to integrate LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures Implement technical efforts to design, build, and deploy AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics. Participate in all aspects of the software development lifecycle (SDLC) for AWS solutions, including planning, requirements gathering, development, automated testing, and quality assurance. Expertly troubleshoot incidents, identify root causes, fix and document complex issues, and implement preventive measures to ensure system stability. Educate cross-functional teams on the implementation of new cloud-based data initiatives, providing associated training and technical documentation when necessary. Demonstrate exceptional problem-solving skills, with a proven ability to see, predict, and resolve data bottlenecks or system issues before they impact business productivity. Utilize Terraform to provision, manage, and orchestrate AWS infrastructure and Snowflake resources efficiently. Oversee and implement upgrades, performance tuning, and access controls within Tableau Server/Cloud, ensuring seamless integration with AWS services and optimal dashboard performance. Configure and manage virtual compute resources ( AWS EC2 and Snowflake Virtual Warehouses), focusing on optimal configuration, sizing, elasticity, auto-scaling, and cost control. Implement and maintain rigorous security configurations, including AWS IAM, Snowflake Role-Based Access Control (RBAC), network policies, and Row/Column-level security to protect sensitive data. Perform data platform administrative functions across AWS and Snowflake, ensuring smooth operations, query optimization, storage management, and compliance with best practices. Configure and manage load balancing strategies and failover routing ( AWS ELB/Route 53) to ensure high availability and fault tolerance across data applications and BI endpoints. Design and manage AWS VPC networks, security groups, and private endpoints ( AWS PrivateLink) to ensure secure, efficient, and private connectivity between AWS, Snowflake, and Tableau. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
GardaWorld Security Services U.S.
Shawnee Mission, Kansas
GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications
11/13/2026
Full time
GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications
GardaWorld Security Services U.S.
Kansas City, Kansas
GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications
11/13/2026
Full time
GardaWorld Security Services U.S. is seeking a Data Warehouse professional to build and maintain secure, scalable data solutions supporting security, operations, and risk management analytics. In this role, you will design and optimize data models, develop robust ETL pipelines, and ensure the integrity and availability of critical operational data. You will collaborate with security, operations, and finance teams to translate reporting and analytics needs into reliable data structures. Ideal candidates bring strong SQL, data warehousing, and performance tuning skills, with a commitment to data accuracy, security, and continuous improvement in a fast-paced, mission-driven environment. Responsibilities Design, implement, and maintain data warehouse structures to support reporting and analytics Develop, schedule, and monitor ETL processes to integrate data from multiple operational systems Collaborate with security, operations, and finance teams to define data and reporting requirements Ensure data quality, integrity, and consistency through validation and monitoring Optimize SQL queries and data models for performance and scalability Implement and maintain data security, access controls, and governance standards Support business intelligence and dashboard solutions used for security and operational insights Document data models, ETL workflows, and technical standards Troubleshoot data issues and drive root-cause analysis and resolution Continuously improve warehouse architecture, tools, and processes Required Skills Data warehousing design SQLETL development Data modeling (star/snowflake) Relational databases (e.g., SQL Server, Oracle, Postgres) Data quality and validation Performance tuning and optimization Business intelligence/reporting tools Data security and access control Documentation and technical specifications
