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): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. 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 Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details
11/10/2026
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): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. 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 Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal . click apply for full job details
Do you want to shape the future of virtualized networking in one of the world's largest public clouds? The Amazon Elastic Compute Cloud (EC2) NX Platforms team owns the packet processing pipeline running beneath every EC2 instance - adding encryption, firewalls (security groups), routing, billing, and monitoring to every packet on every host across our worldwide fleet of 9M+ hosts in more than 30 regions. Our vision: deliver bare-metal networking performance while raising the bar on EC2's security, availability, and reliability - unlocking capabilities only possible through true Software Defined Networking (SDN). We are growing fast and looking for senior systems engineers who can deliver ultra-high performance - our goal is processing millions of packets per second on a single CPU core. This demands highly optimized data structures, low-level hardware tuning, and expertise in C/C++. If you have a passion for systems software engineering - kernel development, embedded systems, or high-performance networking - this is a unique opportunity to define the next generation of the platform powering all new EC2 instance families and VPC features for years to come. Your code ships to production across the entire EC2 fleet - powering services like AWS Lambda and every external workload running on EC2. With frequent deployments and full ownership from design through operation, your contributions have immediate, measurable impact at global scale. With an extensive network and access to Principal, Sr. Principal, and Distinguished Engineers across EC2, AWS, and Amazon, there are many stretch opportunities to grow your skills and knowledge. Ready to build the networking substrate for the world's largest cloud? Apply today. Key job responsibilities - Own the end-to-end design, scoping, implementation, and integration testing of new features that run on the EC2 Nitro System. - Design and build secure and scalable services to enable monitoring, diagnostics, and automated recovery. - Design and build next generation hardware/software validation platforms that enables efficient CI/CD. - Collaborate with cross-functional teams to understand and define requirements, design system architectures, and implement robust and scalable solutions. - Continuously improve development processes, tools, and automation to enhance productivity and quality. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of system performance, memory management, and parallel computing principles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 143 400.00 USD annually
11/10/2026
Full time
Do you want to shape the future of virtualized networking in one of the world's largest public clouds? The Amazon Elastic Compute Cloud (EC2) NX Platforms team owns the packet processing pipeline running beneath every EC2 instance - adding encryption, firewalls (security groups), routing, billing, and monitoring to every packet on every host across our worldwide fleet of 9M+ hosts in more than 30 regions. Our vision: deliver bare-metal networking performance while raising the bar on EC2's security, availability, and reliability - unlocking capabilities only possible through true Software Defined Networking (SDN). We are growing fast and looking for senior systems engineers who can deliver ultra-high performance - our goal is processing millions of packets per second on a single CPU core. This demands highly optimized data structures, low-level hardware tuning, and expertise in C/C++. If you have a passion for systems software engineering - kernel development, embedded systems, or high-performance networking - this is a unique opportunity to define the next generation of the platform powering all new EC2 instance families and VPC features for years to come. Your code ships to production across the entire EC2 fleet - powering services like AWS Lambda and every external workload running on EC2. With frequent deployments and full ownership from design through operation, your contributions have immediate, measurable impact at global scale. With an extensive network and access to Principal, Sr. Principal, and Distinguished Engineers across EC2, AWS, and Amazon, there are many stretch opportunities to grow your skills and knowledge. Ready to build the networking substrate for the world's largest cloud? Apply today. Key job responsibilities - Own the end-to-end design, scoping, implementation, and integration testing of new features that run on the EC2 Nitro System. - Design and build secure and scalable services to enable monitoring, diagnostics, and automated recovery. - Design and build next generation hardware/software validation platforms that enables efficient CI/CD. - Collaborate with cross-functional teams to understand and define requirements, design system architectures, and implement robust and scalable solutions. - Continuously improve development processes, tools, and automation to enhance productivity and quality. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of system performance, memory management, and parallel computing principles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 143 400.00 USD annually
Amazon Development Center U.S., Inc.
San Diego, California
Do you want to shape the future of virtualized networking in one of the world's largest public clouds? The Amazon Elastic Compute Cloud (EC2) NX Platforms team owns the packet processing pipeline running beneath every EC2 instance - adding encryption, firewalls (security groups), routing, billing, and monitoring to every packet on every host across our worldwide fleet of 9M+ hosts in more than 30 regions. Our vision: deliver bare-metal networking performance while raising the bar on EC2's security, availability, and reliability - unlocking capabilities only possible through true Software Defined Networking (SDN). We are growing fast and looking for senior systems engineers who can deliver ultra-high performance - our goal is processing millions of packets per second on a single CPU core. This demands highly optimized data structures, low-level hardware tuning, and expertise in C/C++. If you have a passion for systems software engineering - kernel development, embedded systems, or high-performance networking - this is a unique opportunity to define the next generation of the platform powering all new EC2 instance families and VPC features for years to come. Your code ships to production across the entire EC2 fleet - powering services like AWS Lambda and every external workload running on EC2. With frequent deployments and full ownership from design through operation, your contributions have immediate, measurable impact at global scale. With an extensive network and access to Principal, Sr. Principal, and Distinguished Engineers across EC2, AWS, and Amazon, there are many stretch opportunities to grow your skills and knowledge. Ready to build the networking substrate for the world's largest cloud? Apply today. Key job responsibilities - Own the end-to-end design, scoping, implementation, and integration testing of new features that run on the EC2 Nitro System. - Design and build secure and scalable services to enable monitoring, diagnostics, and automated recovery. - Design and build next generation hardware/software validation platforms that enables efficient CI/CD. - Collaborate with cross-functional teams to understand and define requirements, design system architectures, and implement robust and scalable solutions. - Continuously improve development processes, tools, and automation to enhance productivity and quality. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of system performance, memory management, and parallel computing principles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 143 400.00 USD annually
11/10/2026
Full time
Do you want to shape the future of virtualized networking in one of the world's largest public clouds? The Amazon Elastic Compute Cloud (EC2) NX Platforms team owns the packet processing pipeline running beneath every EC2 instance - adding encryption, firewalls (security groups), routing, billing, and monitoring to every packet on every host across our worldwide fleet of 9M+ hosts in more than 30 regions. Our vision: deliver bare-metal networking performance while raising the bar on EC2's security, availability, and reliability - unlocking capabilities only possible through true Software Defined Networking (SDN). We are growing fast and looking for senior systems engineers who can deliver ultra-high performance - our goal is processing millions of packets per second on a single CPU core. This demands highly optimized data structures, low-level hardware tuning, and expertise in C/C++. If you have a passion for systems software engineering - kernel development, embedded systems, or high-performance networking - this is a unique opportunity to define the next generation of the platform powering all new EC2 instance families and VPC features for years to come. Your code ships to production across the entire EC2 fleet - powering services like AWS Lambda and every external workload running on EC2. With frequent deployments and full ownership from design through operation, your contributions have immediate, measurable impact at global scale. With an extensive network and access to Principal, Sr. Principal, and Distinguished Engineers across EC2, AWS, and Amazon, there are many stretch opportunities to grow your skills and knowledge. Ready to build the networking substrate for the world's largest cloud? Apply today. Key job responsibilities - Own the end-to-end design, scoping, implementation, and integration testing of new features that run on the EC2 Nitro System. - Design and build secure and scalable services to enable monitoring, diagnostics, and automated recovery. - Design and build next generation hardware/software validation platforms that enables efficient CI/CD. - Collaborate with cross-functional teams to understand and define requirements, design system architectures, and implement robust and scalable solutions. - Continuously improve development processes, tools, and automation to enhance productivity and quality. - Mentor junior engineers with scoping, design, and developing scalable and maintainable code. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Knowledge of system performance, memory management, and parallel computing principles Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 143 400.00 USD annually
We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2025. To achieve our ambitious goals, we're expanding our team and looking for a Senior Engineer to lead the development of a new EC2 Service critical to scale our current and next-generation Machine Learning (ML) and HPC Platforms. You will also be a technical leader for a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse industries such as ML, Cloud Gaming, Health, Fintech, and Video Streaming. Our work impacts millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to maximize your influence and impact on the organization. Key job responsibilities Key job responsibilities Lead the end-to-end design, scoping, implementation, and integration testing of new products and features that run on the EC2 Nitro System. You set high standards for development processes, tools, and automation to enhance team productivity and quality. Own the team architecture and define best engineering practices on design and coding. You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. Mentor engineers with scoping, design, and developing scalable and maintainable code. Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. A day in the life Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience writing low level drivers, or experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 4+ years of highly scalable systems experience - Experience with embedded software Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 168 400.00 USD annually
11/10/2026
Full time
We're at an exciting juncture to redefine the future of EC2 networking for Cloud Computing in 2025. To achieve our ambitious goals, we're expanding our team and looking for a Senior Engineer to lead the development of a new EC2 Service critical to scale our current and next-generation Machine Learning (ML) and HPC Platforms. You will also be a technical leader for a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse industries such as ML, Cloud Gaming, Health, Fintech, and Video Streaming. Our work impacts millions of customers globally, delivering secure, scalable, and high-performance networking solutions at incredible scale. With the extensive network and access to Principal, Sr. Principal and Distinguished Engineers across EC2, AWS and Amazon, you are surrounded by talent that will provide you opportunities to maximize your influence and impact on the organization. Key job responsibilities Key job responsibilities Lead the end-to-end design, scoping, implementation, and integration testing of new products and features that run on the EC2 Nitro System. You set high standards for development processes, tools, and automation to enhance team productivity and quality. Own the team architecture and define best engineering practices on design and coding. You identify business problems and opportunities, and advocate for technical solutions that influences the technical roadmap for your team and partner teams. Mentor engineers with scoping, design, and developing scalable and maintainable code. Collaborate with Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions. A day in the life Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. About the team Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. About AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Experience writing low level drivers, or experience in embedded development in C/C++ PREFERRED QUALIFICATIONS - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - 4+ years of highly scalable systems experience - Experience with embedded software Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CA, San Diego - 168 400.00 USD annually
Amazon Development Center U.S., Inc.
Denver, Colorado
Application deadline: Nov 16, 2026 Are you passionate about building tools that empower teams across all of Amazon Web Services? Join us as a Software Development Engineer II where you'll own and deliver features for internal platforms that enable AWS teams to deliver exceptional customer experiences at scale. Your work will directly impact how thousands of builders across AWS develop, deploy, and operate services that millions of customers depend on daily. In this role, you'll design and implement solutions for difficult technical problems, working with a talented team of Software Development Engineers and System Development Engineers. You'll take feature requirements from concept through delivery, making design decisions and navigating trade-offs independently. Beyond your own contributions, you'll raise the bar for the team by providing meaningful code review feedback, mentoring newer engineers, and identifying opportunities to improve developer productivity and operational excellence. This is an opportunity for experienced engineers who want to own impactful work while deepening their expertise in distributed systems, cloud infrastructure, and software engineering best practices. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Design, implement, and deliver features end-to-end for internal AWS tools and services, owning work from technical design through deployment and ongoing operational support - Solve difficult technical problems across the development stack, evaluating multiple implementation approaches and making sound trade-offs to arrive at solutions that balance customer needs with long-term maintainability - Provide meaningful code review feedback to teammates, including more senior engineers, raising the bar on code quality, testing practices, and engineering standards across the team - Identify and advocate for improvements to developer productivity, operational excellence, and team processes, driving changes that make the team more effective over time - Mentor newer engineers through constructive code reviews, design discussions, and knowledge sharing, helping onboard new team members and accelerating their growth - Collaborate cross-functionally throughout the software development lifecycle, contributing to design reviews, documentation, and stakeholder communication while resolving technical disagreements through constructive dialog A day in the life Your typical day involves owning and delivering features for internal tools that impact teams across AWS. You'll spend time designing solutions to technical challenges, writing code, and providing thoughtful code review feedback to teammates. You might lead a design discussion for a new capability, debug a complex issue reported by an internal customer, or identify an opportunity to improve an existing system's reliability or performance. You balance hands-on coding with the broader thinking needed to make sound technical trade-offs. You'll join a collaborative team of Software Development Engineers and System Development Engineers who are passionate about building tools that make AWS teams more effective. Our team values knowledge sharing and mentorship, with a broad mix of experience levels and tenures. As an SDE II, you'll play an active role in onboarding new team members, sharing context about our systems, and helping less experienced engineers grow through pairing and constructive feedback. We care about your career growth and provide opportunities to deepen your technical expertise through increasingly complex challenges. Our team supports an inclusive culture where different perspectives drive innovation, and we strive for flexibility that enables you to bring your best to both work and life. Together, we're creating the foundational tools that enable AWS to continue innovating for customers worldwide. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually
11/10/2026
Full time
Application deadline: Nov 16, 2026 Are you passionate about building tools that empower teams across all of Amazon Web Services? Join us as a Software Development Engineer II where you'll own and deliver features for internal platforms that enable AWS teams to deliver exceptional customer experiences at scale. Your work will directly impact how thousands of builders across AWS develop, deploy, and operate services that millions of customers depend on daily. In this role, you'll design and implement solutions for difficult technical problems, working with a talented team of Software Development Engineers and System Development Engineers. You'll take feature requirements from concept through delivery, making design decisions and navigating trade-offs independently. Beyond your own contributions, you'll raise the bar for the team by providing meaningful code review feedback, mentoring newer engineers, and identifying opportunities to improve developer productivity and operational excellence. This is an opportunity for experienced engineers who want to own impactful work while deepening their expertise in distributed systems, cloud infrastructure, and software engineering best practices. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities - Design, implement, and deliver features end-to-end for internal AWS tools and services, owning work from technical design through deployment and ongoing operational support - Solve difficult technical problems across the development stack, evaluating multiple implementation approaches and making sound trade-offs to arrive at solutions that balance customer needs with long-term maintainability - Provide meaningful code review feedback to teammates, including more senior engineers, raising the bar on code quality, testing practices, and engineering standards across the team - Identify and advocate for improvements to developer productivity, operational excellence, and team processes, driving changes that make the team more effective over time - Mentor newer engineers through constructive code reviews, design discussions, and knowledge sharing, helping onboard new team members and accelerating their growth - Collaborate cross-functionally throughout the software development lifecycle, contributing to design reviews, documentation, and stakeholder communication while resolving technical disagreements through constructive dialog A day in the life Your typical day involves owning and delivering features for internal tools that impact teams across AWS. You'll spend time designing solutions to technical challenges, writing code, and providing thoughtful code review feedback to teammates. You might lead a design discussion for a new capability, debug a complex issue reported by an internal customer, or identify an opportunity to improve an existing system's reliability or performance. You balance hands-on coding with the broader thinking needed to make sound technical trade-offs. You'll join a collaborative team of Software Development Engineers and System Development Engineers who are passionate about building tools that make AWS teams more effective. Our team values knowledge sharing and mentorship, with a broad mix of experience levels and tenures. As an SDE II, you'll play an active role in onboarding new team members, sharing context about our systems, and helping less experienced engineers grow through pairing and constructive feedback. We care about your career growth and provide opportunities to deepen your technical expertise through increasingly complex challenges. Our team supports an inclusive culture where different perspectives drive innovation, and we strive for flexibility that enables you to bring your best to both work and life. Together, we're creating the foundational tools that enable AWS to continue innovating for customers worldwide. About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. AWS Infrastructure Services (AIS) AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship and Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. BASIC QUALIFICATIONS - Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional) - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, CO, Denver - 143 400.00 USD annually
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Join NetApp's Cloud Platforms organization and help build the next generation of cloud-native infrastructure, software-defined storage, and virtualization platforms powering enterprise-scale data management solutions across AWS, Azure, GCP, and OCI. We are looking for a highly skilled Senior Software Development Engineer with deep expertise in Linux systems, distributed storage, virtualization technologies, and cloud infrastructure platforms. In this role, you will contribute to sizable portions of the product across multiple technical areas including software-defined storage, virtualization infrastructure, Linux systems software, and cloud-native distributed services. You will work on complex engineering problems requiring advanced technical judgment, systems thinking, and cross-functional collaboration. This role requires the ability to independently drive technical execution, proactively resolve blockers, and influence engineering outcomes across teams. As part of NetApp's Research and Development organization, you will collaborate with cloud providers and engineering teams to design scalable, secure, and highly performant infrastructure capabilities that support NetApp's cloud storage and data management offerings. Job Requirements Design, develop, and optimize components across the software-defined storage and virtualization stack, including storage services, virtual networking, Linux system services, and distributed infrastructure components. Contribute to sizable portions of the product across multiple technical areas and projects involving storage, networking, virtualization, and cloud infrastructure. Develop and maintain Linux user-space and kernel-space software related to storage subsystems, networking stacks, virtualization, and infrastructure services. Work with virtualization technologies including KVM/QEMU, libvirt, virtio, virtual networking, and storage virtualization frameworks. Debug and resolve complex system-level issues involving compute, storage, networking, virtualization, and distributed systems interactions. Apply advanced technical knowledge and judgment to evaluate architectural tradeoffs, scalability considerations, and operational reliability. Drive technical solutions independently while proactively identifying risks, dependencies, and escalation points. Collaborate cross-functionally with engineering, product, support, and cloud partner teams to deliver robust infrastructure capabilities. Mentor junior engineers, participate in code and design reviews, and contribute to engineering best practices. Participate in all phases of the product lifecycle including architecture, implementation, testing, deployment, operational support, and customer issue resolution. Education 8+ years of experience in systems software engineering, cloud infrastructure, distributed systems, or storage platform development. Strong programming expertise in C/C++ and Python. Deep understanding of operating systems internals, concurrency, memory management, performance optimization, and systems-level debugging. Hands-on experience with software-defined storage systems, distributed storage platforms, or enterprise infrastructure software. Strong experience with virtualization technologies including KVM/QEMU, libvirt, virtio, and virtualized networking/storage infrastructure. Experience developing or troubleshooting storage and networking subsystems, kernel modules, or device drivers. Strong knowledge of storage technologies and protocols such as NVMe, iSCSI, NFS, SMB/CIFS, S3, or distributed block/object/file storage systems. Hands-on operational experience with AWS, Azure, GCP, or OCI infrastructure environments. Experience with CI/CD systems, automation frameworks, observability, and infrastructure-as-code tools. Strong analytical, debugging, and performance tuning skills. Excellent communication and collaboration skills with the ability to influence technical discussions across teams. Ability to independently resolve most technical blockers while escalating major risks proactively. Preferred Qualifications: Experience with enterprise-scale storage operating systems such as ONTAP or similar platforms Experience leading subsystem development or technically complex cross-functional projects. Familiarity with cloud-native virtualization and infrastructure orchestration platforms. Experience with scalability engineering, reliability engineering, and operational excellence initiatives. Advanced cloud certifications or equivalent industry experience. Compensation: The target salary range for this position is 170,000 - 253,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
11/10/2026
Full time
Own Every Moment at NetApp At NetApp, your ideas power innovation. We lead in intelligent data infrastructure-delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud. Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function. Job Summary Join NetApp's Cloud Platforms organization and help build the next generation of cloud-native infrastructure, software-defined storage, and virtualization platforms powering enterprise-scale data management solutions across AWS, Azure, GCP, and OCI. We are looking for a highly skilled Senior Software Development Engineer with deep expertise in Linux systems, distributed storage, virtualization technologies, and cloud infrastructure platforms. In this role, you will contribute to sizable portions of the product across multiple technical areas including software-defined storage, virtualization infrastructure, Linux systems software, and cloud-native distributed services. You will work on complex engineering problems requiring advanced technical judgment, systems thinking, and cross-functional collaboration. This role requires the ability to independently drive technical execution, proactively resolve blockers, and influence engineering outcomes across teams. As part of NetApp's Research and Development organization, you will collaborate with cloud providers and engineering teams to design scalable, secure, and highly performant infrastructure capabilities that support NetApp's cloud storage and data management offerings. Job Requirements Design, develop, and optimize components across the software-defined storage and virtualization stack, including storage services, virtual networking, Linux system services, and distributed infrastructure components. Contribute to sizable portions of the product across multiple technical areas and projects involving storage, networking, virtualization, and cloud infrastructure. Develop and maintain Linux user-space and kernel-space software related to storage subsystems, networking stacks, virtualization, and infrastructure services. Work with virtualization technologies including KVM/QEMU, libvirt, virtio, virtual networking, and storage virtualization frameworks. Debug and resolve complex system-level issues involving compute, storage, networking, virtualization, and distributed systems interactions. Apply advanced technical knowledge and judgment to evaluate architectural tradeoffs, scalability considerations, and operational reliability. Drive technical solutions independently while proactively identifying risks, dependencies, and escalation points. Collaborate cross-functionally with engineering, product, support, and cloud partner teams to deliver robust infrastructure capabilities. Mentor junior engineers, participate in code and design reviews, and contribute to engineering best practices. Participate in all phases of the product lifecycle including architecture, implementation, testing, deployment, operational support, and customer issue resolution. Education 8+ years of experience in systems software engineering, cloud infrastructure, distributed systems, or storage platform development. Strong programming expertise in C/C++ and Python. Deep understanding of operating systems internals, concurrency, memory management, performance optimization, and systems-level debugging. Hands-on experience with software-defined storage systems, distributed storage platforms, or enterprise infrastructure software. Strong experience with virtualization technologies including KVM/QEMU, libvirt, virtio, and virtualized networking/storage infrastructure. Experience developing or troubleshooting storage and networking subsystems, kernel modules, or device drivers. Strong knowledge of storage technologies and protocols such as NVMe, iSCSI, NFS, SMB/CIFS, S3, or distributed block/object/file storage systems. Hands-on operational experience with AWS, Azure, GCP, or OCI infrastructure environments. Experience with CI/CD systems, automation frameworks, observability, and infrastructure-as-code tools. Strong analytical, debugging, and performance tuning skills. Excellent communication and collaboration skills with the ability to influence technical discussions across teams. Ability to independently resolve most technical blockers while escalating major risks proactively. Preferred Qualifications: Experience with enterprise-scale storage operating systems such as ONTAP or similar platforms Experience leading subsystem development or technically complex cross-functional projects. Familiarity with cloud-native virtualization and infrastructure orchestration platforms. Experience with scalability engineering, reliability engineering, and operational excellence initiatives. Advanced cloud certifications or equivalent industry experience. Compensation: The target salary range for this position is 170,000 - 253,000 USD. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU's). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process. At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process. Equal Opportunity Employer: NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification. Why You'll Thrive at NetApp At NetApp, you won't wait for the perfect moment-you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure. NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security. Our culture We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed-they drive everything we do. If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one. Apply now. Submitting an Application To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application. AI Disclosure For select roles, some stages of our hiring process may use artificial intelligence tools to help evaluate applications and candidate selection. These tools support-rather than replace-human decision-making.
Job Description Job Description Job Description: o Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: o Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top skills required for this role? 1. Selenium 2. Java 3. Python 4. SQL 5. GenAI
11/10/2026
Full time
Job Description Job Description Job Description: o Perform functional and automation testing for Capital Markets ensuring quality, reliability, and performance. o Understanding of index methodologies, benchmark indices, and capital markets data, experience in validating index calculations, market data, reference data, and benchmark-related financial applications or similar capital markets platforms o Develop and maintain automation frameworks using Java or Python, and execute regression, API, and end-to-end testing. o Validate data using SQL, databases, ETL pipelines, and Data Services to ensure data accuracy and integrity. o Demonstrate AI fluency by leveraging AI-powered tools and Agentic AI/GenAI assistants to improve test design, test automation, defect analysis, root cause investigation, and overall QE productivity. o Work with market data, pricing, reference data, index calculation, or similar financial applications. o Experience testing high-volume, low-latency, real-time data platforms in Financial Services is highly preferred Responsibilities: o Develop and document application test plans and test cases based on software requirements and technical specifications o Evaluate requirements and define testing objectives and approaches while working in Agile methodology o Continuous review and improvement of the testing and quality assurance methodologies and measurement of these processes o Test and respond to Software Quality Assurance issues with related groups such as Development, Database, Integration, and Customer Support o Understand business model and customer needs and apply/modify QA techniques accordingly o Provide effective communication regarding issues, testing status and potential risks o Effectively interact with global customers, business users and IT staff o Manage, maintain QA environments along with build and deployments o Design and develop test automation solutions using Cucumber / Selenium, and other technologies determined to best suit our needs Qualifications: o Bachelor's degree in computer science, Information Systems or Engineering is required, or in lieu, a demonstrated equivalence in work experience o 8 years of experience in complete software testing activities. o Experience with Capital Market and FinTech is ideal o Experience with Index/Benchmarks, Asset Management, or Portfolio Investment modeling o Experience with Market Data such as Equity, Forex or Options asset classes preferred and will be given preference. o Hands on experience working with testing frameworks, Selenium web driver, Cucumber o Hands on experience with Object oriented language like Java or Python o Hands on experience with test frameworks like Carina, Karate would be plus o Knowledge of cloud technology (AWS preferred) o Experience in SQL a must. Knowledge of PL/SQL, No SQL DB, Linux/UNIX, Jenkins preferred o Experience in supporting test strategy activities, particularly in integration of multiple applications and systems o Experience in evaluating testing technologies , conducting test strategy design and test script code reviews o Demonstrated skill to proactively resolves issues and escalate appropriately o Experience in Gen-AI tools preferred. o Excellent communication skills are essential, with strong verbal and writing proficiencies o Excellent understanding of release testing, sign-off and deployment methods What are the top skills required for this role? 1. Selenium 2. Java 3. Python 4. SQL 5. GenAI
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Network Systems Engineer Job Code: 43612 Job Location: USA-UT-Salt Lake City Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off Job Description: Position Overview: The Lead, Network Systems Engineer will design, integrate, maintain, and troubleshoot military communications networks. The role spans initial concept development, detailed network schematics, hardware and software implementation, test, and delivery. The ideal candidate has a strong technical understanding of TCP/IP networks and enterprise-grade routers, switches, and next-generation firewalls. Essential Functions: Design, integrate, maintain, and troubleshoot military communications networks from initial concept through delivery. Develop detailed network schematics and implement network hardware and software solutions. Configure and troubleshoot network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Apply routing, tunneling, and network services capabilities including GRE, IPsec, DMVPN, QoS, VLANs, multicast, DNS, NTP, and VoIP. Implement and troubleshoot network security controls, including IP access lists and stateful protocol inspection. Use network-management protocols and services including SNMP, SSH, syslog, and RADIUS/TACACS. Support system integration, system verification, formal qualification, and customer integration and qualification events. Coordinate technical decisions, risks, and delivery activities with engineering teams and senior customer organizations. Qualifications: An ABET (EAC/CAC) accredited Bachelor of Science degree in Electrical Engineering, Systems Engineering, Computer Science, or another engineering discipline and a minimum of 9 years of prior relevant experience; graduate degree and a minimum of 7 years of prior related experience; or an additional 4 years of relevant experience or education in lieu of a bachelor's degree. Active U.S. Government DoD Secret clearance. Preferred Additional Skills: Experience with IPv4 and IPv6 network design, including IP subnetting, DNS, NTP, VoIP, QoS, and BGP, OSPF, and EIGRP protocols. Experience configuring and troubleshooting network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Strong understanding of GRE, IPsec, DMVPN, IP quality of service, VLANs, and multicast. Strong understanding of network security features, including IP access lists and stateful protocol inspection. Familiarity with network-management protocols, including SNMP, SSH, syslog, and RADIUS/TACACS. Active Top Secret U.S. DoD clearance is strongly preferred. Networking certification such as CCNA, CCNP, CCIE, or equivalent. Experience with HAIPE/TACLANE or other military COMSEC/CRYPTO equipment and procedures. Experience with tactical or military radio networks, such as Common Data Link (CDL). Network design certification such as CCDA, CCDP, CCDE, CCAr, or equivalent. Ability to operate as part of an engineering team, including knowledge of related disciplines. Ability to interact with senior customer organizations and personnel. Ability to operate with considerable independence and self-identify and pursue long-term interests. Strong written and oral communication skills. Experience managing projects that include system integration, verification, and formal qualification, including customer-site events. Effective problem-solving skills and the ability to meet critical deadlines. Experience using Word, Excel, PowerPoint, MS Project, Visio, DOORS, or similar tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish
11/10/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Network Systems Engineer Job Code: 43612 Job Location: USA-UT-Salt Lake City Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off Job Description: Position Overview: The Lead, Network Systems Engineer will design, integrate, maintain, and troubleshoot military communications networks. The role spans initial concept development, detailed network schematics, hardware and software implementation, test, and delivery. The ideal candidate has a strong technical understanding of TCP/IP networks and enterprise-grade routers, switches, and next-generation firewalls. Essential Functions: Design, integrate, maintain, and troubleshoot military communications networks from initial concept through delivery. Develop detailed network schematics and implement network hardware and software solutions. Configure and troubleshoot network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Apply routing, tunneling, and network services capabilities including GRE, IPsec, DMVPN, QoS, VLANs, multicast, DNS, NTP, and VoIP. Implement and troubleshoot network security controls, including IP access lists and stateful protocol inspection. Use network-management protocols and services including SNMP, SSH, syslog, and RADIUS/TACACS. Support system integration, system verification, formal qualification, and customer integration and qualification events. Coordinate technical decisions, risks, and delivery activities with engineering teams and senior customer organizations. Qualifications: An ABET (EAC/CAC) accredited Bachelor of Science degree in Electrical Engineering, Systems Engineering, Computer Science, or another engineering discipline and a minimum of 9 years of prior relevant experience; graduate degree and a minimum of 7 years of prior related experience; or an additional 4 years of relevant experience or education in lieu of a bachelor's degree. Active U.S. Government DoD Secret clearance. Preferred Additional Skills: Experience with IPv4 and IPv6 network design, including IP subnetting, DNS, NTP, VoIP, QoS, and BGP, OSPF, and EIGRP protocols. Experience configuring and troubleshooting network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Strong understanding of GRE, IPsec, DMVPN, IP quality of service, VLANs, and multicast. Strong understanding of network security features, including IP access lists and stateful protocol inspection. Familiarity with network-management protocols, including SNMP, SSH, syslog, and RADIUS/TACACS. Active Top Secret U.S. DoD clearance is strongly preferred. Networking certification such as CCNA, CCNP, CCIE, or equivalent. Experience with HAIPE/TACLANE or other military COMSEC/CRYPTO equipment and procedures. Experience with tactical or military radio networks, such as Common Data Link (CDL). Network design certification such as CCDA, CCDP, CCDE, CCAr, or equivalent. Ability to operate as part of an engineering team, including knowledge of related disciplines. Ability to interact with senior customer organizations and personnel. Ability to operate with considerable independence and self-identify and pursue long-term interests. Strong written and oral communication skills. Experience managing projects that include system integration, verification, and formal qualification, including customer-site events. Effective problem-solving skills and the ability to meet critical deadlines. Experience using Word, Excel, PowerPoint, MS Project, Visio, DOORS, or similar tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Network Systems Engineer Job Code: 43612 Job Location: USA-UT-Salt Lake City Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off Job Description: Position Overview: The Lead, Network Systems Engineer will design, integrate, maintain, and troubleshoot military communications networks. The role spans initial concept development, detailed network schematics, hardware and software implementation, test, and delivery. The ideal candidate has a strong technical understanding of TCP/IP networks and enterprise-grade routers, switches, and next-generation firewalls. Essential Functions: Design, integrate, maintain, and troubleshoot military communications networks from initial concept through delivery. Develop detailed network schematics and implement network hardware and software solutions. Configure and troubleshoot network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Apply routing, tunneling, and network services capabilities including GRE, IPsec, DMVPN, QoS, VLANs, multicast, DNS, NTP, and VoIP. Implement and troubleshoot network security controls, including IP access lists and stateful protocol inspection. Use network-management protocols and services including SNMP, SSH, syslog, and RADIUS/TACACS. Support system integration, system verification, formal qualification, and customer integration and qualification events. Coordinate technical decisions, risks, and delivery activities with engineering teams and senior customer organizations. Qualifications: An ABET (EAC/CAC) accredited Bachelor of Science degree in Electrical Engineering, Systems Engineering, Computer Science, or another engineering discipline and a minimum of 9 years of prior relevant experience; graduate degree and a minimum of 7 years of prior related experience; or an additional 4 years of relevant experience or education in lieu of a bachelor's degree. Active U.S. Government DoD Secret clearance. Preferred Additional Skills: Experience with IPv4 and IPv6 network design, including IP subnetting, DNS, NTP, VoIP, QoS, and BGP, OSPF, and EIGRP protocols. Experience configuring and troubleshooting network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Strong understanding of GRE, IPsec, DMVPN, IP quality of service, VLANs, and multicast. Strong understanding of network security features, including IP access lists and stateful protocol inspection. Familiarity with network-management protocols, including SNMP, SSH, syslog, and RADIUS/TACACS. Active Top Secret U.S. DoD clearance is strongly preferred. Networking certification such as CCNA, CCNP, CCIE, or equivalent. Experience with HAIPE/TACLANE or other military COMSEC/CRYPTO equipment and procedures. Experience with tactical or military radio networks, such as Common Data Link (CDL). Network design certification such as CCDA, CCDP, CCDE, CCAr, or equivalent. Ability to operate as part of an engineering team, including knowledge of related disciplines. Ability to interact with senior customer organizations and personnel. Ability to operate with considerable independence and self-identify and pursue long-term interests. Strong written and oral communication skills. Experience managing projects that include system integration, verification, and formal qualification, including customer-site events. Effective problem-solving skills and the ability to meet critical deadlines. Experience using Word, Excel, PowerPoint, MS Project, Visio, DOORS, or similar tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish
11/10/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Lead, Network Systems Engineer Job Code: 43612 Job Location: USA-UT-Salt Lake City Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off Job Description: Position Overview: The Lead, Network Systems Engineer will design, integrate, maintain, and troubleshoot military communications networks. The role spans initial concept development, detailed network schematics, hardware and software implementation, test, and delivery. The ideal candidate has a strong technical understanding of TCP/IP networks and enterprise-grade routers, switches, and next-generation firewalls. Essential Functions: Design, integrate, maintain, and troubleshoot military communications networks from initial concept through delivery. Develop detailed network schematics and implement network hardware and software solutions. Configure and troubleshoot network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Apply routing, tunneling, and network services capabilities including GRE, IPsec, DMVPN, QoS, VLANs, multicast, DNS, NTP, and VoIP. Implement and troubleshoot network security controls, including IP access lists and stateful protocol inspection. Use network-management protocols and services including SNMP, SSH, syslog, and RADIUS/TACACS. Support system integration, system verification, formal qualification, and customer integration and qualification events. Coordinate technical decisions, risks, and delivery activities with engineering teams and senior customer organizations. Qualifications: An ABET (EAC/CAC) accredited Bachelor of Science degree in Electrical Engineering, Systems Engineering, Computer Science, or another engineering discipline and a minimum of 9 years of prior relevant experience; graduate degree and a minimum of 7 years of prior related experience; or an additional 4 years of relevant experience or education in lieu of a bachelor's degree. Active U.S. Government DoD Secret clearance. Preferred Additional Skills: Experience with IPv4 and IPv6 network design, including IP subnetting, DNS, NTP, VoIP, QoS, and BGP, OSPF, and EIGRP protocols. Experience configuring and troubleshooting network and next-generation firewall devices, ideally Cisco IOS/IOS-XE and NGFW platforms. Strong understanding of GRE, IPsec, DMVPN, IP quality of service, VLANs, and multicast. Strong understanding of network security features, including IP access lists and stateful protocol inspection. Familiarity with network-management protocols, including SNMP, SSH, syslog, and RADIUS/TACACS. Active Top Secret U.S. DoD clearance is strongly preferred. Networking certification such as CCNA, CCNP, CCIE, or equivalent. Experience with HAIPE/TACLANE or other military COMSEC/CRYPTO equipment and procedures. Experience with tactical or military radio networks, such as Common Data Link (CDL). Network design certification such as CCDA, CCDP, CCDE, CCAr, or equivalent. Ability to operate as part of an engineering team, including knowledge of related disciplines. Ability to interact with senior customer organizations and personnel. Ability to operate with considerable independence and self-identify and pursue long-term interests. Strong written and oral communication skills. Experience managing projects that include system integration, verification, and formal qualification, including customer-site events. Effective problem-solving skills and the ability to meet critical deadlines. Experience using Word, Excel, PowerPoint, MS Project, Visio, DOORS, or similar tools. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish
Date Posted: 2026-08-20 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This is your opportunity to join the Receiver Exciter and Processing Architecture (REPA) Department as a Senior Software Engineer. The team's primary goal is to design, architect, and implement signal processing algorithms on a variety of high-performance processing platforms - including CPUs, FPGAs and GPUs, on COTS and semi-custom hardware platforms, for next generation radar systems. What You Will Do: Code, test, and integrate C++ real-time signal processing algorithms or control functions for sensor systems on Linux. Defect resolution and code maintenance/updating of existing codebases. Analyze numerical accuracy and runtime latency. Collaborate with systems, hardware, and other software engineers to understand and implement end-user requirements. Maintain high code quality by supporting code reviews, static analysis, continuous integration. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience, or an Advanced degree in a related field and minimum 3 years experience. C++ software development experience in Linux environments. Experience with networking concepts and protocols. Experience with Object-Oriented Analysis / Design (OOAD). The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Value: Realtime software development experience. Experience with developer tools (Git, CMake, GoogleTest, gdb, profilers, Jenkins, UML). Experience with scripting (Python, shell, bash). Experience with Agile methodologies (Scrum). Experience with DPDK. Experience with numerical libraries such as MKL, FFTW, BLAS, LAPACK, and ARM PL. Experience with DDS (Distributed Data Systems). Experience in C+ or newer. Experience with Linux device drivers. Experience developing GPU software with Nvidia Cuda. Radar or DSP knowledge. Active / Existing Secret U.S. Security Clearance. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/10/2026
Full time
Date Posted: 2026-08-20 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. This is your opportunity to join the Receiver Exciter and Processing Architecture (REPA) Department as a Senior Software Engineer. The team's primary goal is to design, architect, and implement signal processing algorithms on a variety of high-performance processing platforms - including CPUs, FPGAs and GPUs, on COTS and semi-custom hardware platforms, for next generation radar systems. What You Will Do: Code, test, and integrate C++ real-time signal processing algorithms or control functions for sensor systems on Linux. Defect resolution and code maintenance/updating of existing codebases. Analyze numerical accuracy and runtime latency. Collaborate with systems, hardware, and other software engineers to understand and implement end-user requirements. Maintain high code quality by supporting code reviews, static analysis, continuous integration. Qualifications You Must Have: Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience, or an Advanced degree in a related field and minimum 3 years experience. C++ software development experience in Linux environments. Experience with networking concepts and protocols. Experience with Object-Oriented Analysis / Design (OOAD). The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance. Qualifications We Value: Realtime software development experience. Experience with developer tools (Git, CMake, GoogleTest, gdb, profilers, Jenkins, UML). Experience with scripting (Python, shell, bash). Experience with Agile methodologies (Scrum). Experience with DPDK. Experience with numerical libraries such as MKL, FFTW, BLAS, LAPACK, and ARM PL. Experience with DDS (Distributed Data Systems). Experience in C+ or newer. Experience with Linux device drivers. Experience developing GPU software with Nvidia Cuda. Radar or DSP knowledge. Active / Existing Secret U.S. Security Clearance. What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation based on candidate eligibility. Learn More & Apply Now! Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. Clearance Information: This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Job Description We are seeking motivated Application Software Developers/Engineers at the Senior, Intermediate, and Junior levels to support the USDA National Agricultural Library (NAL) scientific research data applications. This position provides Operations and Maintenance (O&M) support and application development for scientific data platforms including GeoData (open-source software), Ag Data Commons (SaaS platform with local data harvests), and related scientific research data products. The ideal candidate will have experience developing modern web applications, designing microservices, supporting scientific data repositories, and working within Linux-based environments using open-source technologies. Task and Duties: Provide Operations and Maintenance (O&M) support for NAL scientific research data applications. Design, develop, and maintain microservices supporting scientific data ingest, processing, and data egress. Develop and maintain system architecture documentation, API specifications, technical diagrams, and data models. Support application enhancements, software updates, testing, troubleshooting, deployment, and production releases. Configure and maintain SaaS application environments, including application configuration updates and data migration activities. Develop repository reporting dashboards and analytics for scientific repository usage and statistics. Design and implement RESTful APIs supporting internal and external integrations. Develop and execute testing protocols, quality assurance (QA) processes, automated testing, and UI testing. Support ETL processes and data migration activities for application modernization efforts. Ensure applications comply with federal accessibility standards, including Section 508 and WCAG 2.x AA requirements. Troubleshoot production issues and provide technical support throughout the software development lifecycle. Participate in Agile development activities including sprint planning, code reviews, and technical documentation. Collaborate with federal stakeholders, developers, data managers, and system administrators to deliver high-quality software solutions. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent experience). Minimum 5 years of professional experience developing customized applications. Demonstrated experience with: XML transforms and XML Schema JavaScript frameworks (Angular preferred) JSON HTML5 OpenLayers 3 Groovy PostgreSQL PostGIS Linux command-line tools Drupal Python or other scripting languages RESTful API design and implementation Minimum 1 year of experience working with open-source software and tools. Experience designing and implementing microservices-based architectures. Familiarity with containerization technologies (Docker, Kubernetes, or similar). Experience developing metadata-driven microservices supporting scientific data ingest and egress. Experience with ETL processes, data migration tools, and application configuration updates. Experience with scientific metadata creation, curation, and repository management tools. Experience deploying and maintaining web applications in production environments. Experience working with geographic information systems (GIS) and geospatial data applications. Strong experience with relational databases including PostgreSQL and MySQL. Experience using Git/GitHub version control. Strong Linux administration and command-line proficiency. Expert knowledge of HTML, XHTML, CSS, and responsive web development. Knowledge of the U.S. Web Design System (USWDS) and USDA Digital Strategy Playbook. Minimum 2 years of practical experience performing Section 508 testing, remediation, and accessibility compliance. Practical experience ensuring applications meet WCAG 2.x AA accessibility requirements. Excellent communication, collaboration, analytical, and customer service skills. Ability to work independently and within cross-functional teams. About One Federal Solution: One Federal Solution (OFS) is an innovative Professional Services provider with over 20 years of experience supporting Defense and Civilian agencies. OFS specializes in Business Intelligence, Acquisition and Procurement, and other Professional Services. We are pioneers, builders, thought leaders, and pride ourselves in thinking outside the box to co-create with our customers, helping them achieve excellent enterprise-wide outcomes. As a certified Service-Disabled Veteran-Owned Small Business (SDVOSB), OFS is committed to providing people who deliver high performance and excellence to our government partners.
11/10/2026
Full time
Job Description Job Description We are seeking motivated Application Software Developers/Engineers at the Senior, Intermediate, and Junior levels to support the USDA National Agricultural Library (NAL) scientific research data applications. This position provides Operations and Maintenance (O&M) support and application development for scientific data platforms including GeoData (open-source software), Ag Data Commons (SaaS platform with local data harvests), and related scientific research data products. The ideal candidate will have experience developing modern web applications, designing microservices, supporting scientific data repositories, and working within Linux-based environments using open-source technologies. Task and Duties: Provide Operations and Maintenance (O&M) support for NAL scientific research data applications. Design, develop, and maintain microservices supporting scientific data ingest, processing, and data egress. Develop and maintain system architecture documentation, API specifications, technical diagrams, and data models. Support application enhancements, software updates, testing, troubleshooting, deployment, and production releases. Configure and maintain SaaS application environments, including application configuration updates and data migration activities. Develop repository reporting dashboards and analytics for scientific repository usage and statistics. Design and implement RESTful APIs supporting internal and external integrations. Develop and execute testing protocols, quality assurance (QA) processes, automated testing, and UI testing. Support ETL processes and data migration activities for application modernization efforts. Ensure applications comply with federal accessibility standards, including Section 508 and WCAG 2.x AA requirements. Troubleshoot production issues and provide technical support throughout the software development lifecycle. Participate in Agile development activities including sprint planning, code reviews, and technical documentation. Collaborate with federal stakeholders, developers, data managers, and system administrators to deliver high-quality software solutions. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent experience). Minimum 5 years of professional experience developing customized applications. Demonstrated experience with: XML transforms and XML Schema JavaScript frameworks (Angular preferred) JSON HTML5 OpenLayers 3 Groovy PostgreSQL PostGIS Linux command-line tools Drupal Python or other scripting languages RESTful API design and implementation Minimum 1 year of experience working with open-source software and tools. Experience designing and implementing microservices-based architectures. Familiarity with containerization technologies (Docker, Kubernetes, or similar). Experience developing metadata-driven microservices supporting scientific data ingest and egress. Experience with ETL processes, data migration tools, and application configuration updates. Experience with scientific metadata creation, curation, and repository management tools. Experience deploying and maintaining web applications in production environments. Experience working with geographic information systems (GIS) and geospatial data applications. Strong experience with relational databases including PostgreSQL and MySQL. Experience using Git/GitHub version control. Strong Linux administration and command-line proficiency. Expert knowledge of HTML, XHTML, CSS, and responsive web development. Knowledge of the U.S. Web Design System (USWDS) and USDA Digital Strategy Playbook. Minimum 2 years of practical experience performing Section 508 testing, remediation, and accessibility compliance. Practical experience ensuring applications meet WCAG 2.x AA accessibility requirements. Excellent communication, collaboration, analytical, and customer service skills. Ability to work independently and within cross-functional teams. About One Federal Solution: One Federal Solution (OFS) is an innovative Professional Services provider with over 20 years of experience supporting Defense and Civilian agencies. OFS specializes in Business Intelligence, Acquisition and Procurement, and other Professional Services. We are pioneers, builders, thought leaders, and pride ourselves in thinking outside the box to co-create with our customers, helping them achieve excellent enterprise-wide outcomes. As a certified Service-Disabled Veteran-Owned Small Business (SDVOSB), OFS is committed to providing people who deliver high performance and excellence to our government partners.
Job Description Job Description Senior .NET Developer Clinical Trials Patient Referral Platform Position Overview We are seeking a Senior Full-Stack .NET Developer to lead the design, development, and ongoing enhancement of a clinical trials patient referral platform. The product will help connect prospective participants with appropriate clinical trials and support referral workflows among patients, healthcare providers, referral coordinators, and research sites. This is a hands-on role with end-to-end responsibility across the user interface, application services, databases, integrations, and deployment. The ideal candidate combines strong technical judgment with the ability to translate complex operational needs into secure, reliable, and intuitive software. Key Responsibilities Own full-stack development from requirements discovery and technical design through implementation, testing, deployment, and production support. Design and develop backend services and APIs using C#, .NET, ASP.NET Core, and Entity Framework Core. Build responsive, accessible interfaces using a modern frontend framework such as Angular, React, or Blazor. Develop workflows for patient intake, configurable prescreening questionnaires, trial discovery, referral submission, site assignment, follow-up, and referral status tracking. Implement trial matching and prescreening rules based on study criteria, with appropriate review by clinical and operational stakeholders. Build portals and dashboards for patients, referring providers, research sites, and program administrators. Design and optimize SQL Server databases, including data models, queries, indexing, and data quality controls. Integrate with external systems such as clinical trial registries, electronic health records, clinical trial management systems, CRM platforms, and communication services. Implement authentication, role-based access, encryption, audit trails, and secure handling of sensitive patient information. Partner with product owners, clinical operations staff, designers, and security teams to define requirements and deliver incremental product improvements. Establish automated testing, code review practices, CI/CD pipelines, monitoring, and technical documentation. Troubleshoot production issues, improve application performance, and mentor other developers. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. At least 7 years of professional software development experience, including substantial hands-on experience building full-stack .NET applications. Strong proficiency in C#, .NET, ASP.NET Core, REST APIs, and Entity Framework Core. Experience with Angular, React, or Blazor, along with JavaScript/TypeScript, HTML, and CSS. Strong SQL Server skills, including relational database design and performance tuning. Experience designing maintainable application architectures and integrating third-party APIs. Knowledge of secure development practices, identity management, and protection of sensitive data. Experience with Git, automated testing, CI/CD, and Agile development. Demonstrated ability to independently own complex features, resolve technical problems, and communicate effectively with nontechnical stakeholders. Preferred Qualifications Experience developing healthcare, clinical research, patient recruitment, or patient referral applications. Familiarity with clinical trial recruitment, prescreening, eligibility criteria, and research site workflows. Experience building configurable workflow engines, rules-based matching, notifications, and operational reporting. Familiarity with consent and authorization tracking, accessibility, and multilingual patient experiences. What Success Looks Like You will deliver a dependable, easy-to-use product that helps coordinators process referrals efficiently, gives research sites clear visibility into referral status, and makes it easier for prospective participants to connect with relevant clinical trials. You will take ownership of technical quality while balancing delivery speed, maintainability, privacy, and user needs.
11/10/2026
Full time
Job Description Job Description Senior .NET Developer Clinical Trials Patient Referral Platform Position Overview We are seeking a Senior Full-Stack .NET Developer to lead the design, development, and ongoing enhancement of a clinical trials patient referral platform. The product will help connect prospective participants with appropriate clinical trials and support referral workflows among patients, healthcare providers, referral coordinators, and research sites. This is a hands-on role with end-to-end responsibility across the user interface, application services, databases, integrations, and deployment. The ideal candidate combines strong technical judgment with the ability to translate complex operational needs into secure, reliable, and intuitive software. Key Responsibilities Own full-stack development from requirements discovery and technical design through implementation, testing, deployment, and production support. Design and develop backend services and APIs using C#, .NET, ASP.NET Core, and Entity Framework Core. Build responsive, accessible interfaces using a modern frontend framework such as Angular, React, or Blazor. Develop workflows for patient intake, configurable prescreening questionnaires, trial discovery, referral submission, site assignment, follow-up, and referral status tracking. Implement trial matching and prescreening rules based on study criteria, with appropriate review by clinical and operational stakeholders. Build portals and dashboards for patients, referring providers, research sites, and program administrators. Design and optimize SQL Server databases, including data models, queries, indexing, and data quality controls. Integrate with external systems such as clinical trial registries, electronic health records, clinical trial management systems, CRM platforms, and communication services. Implement authentication, role-based access, encryption, audit trails, and secure handling of sensitive patient information. Partner with product owners, clinical operations staff, designers, and security teams to define requirements and deliver incremental product improvements. Establish automated testing, code review practices, CI/CD pipelines, monitoring, and technical documentation. Troubleshoot production issues, improve application performance, and mentor other developers. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. At least 7 years of professional software development experience, including substantial hands-on experience building full-stack .NET applications. Strong proficiency in C#, .NET, ASP.NET Core, REST APIs, and Entity Framework Core. Experience with Angular, React, or Blazor, along with JavaScript/TypeScript, HTML, and CSS. Strong SQL Server skills, including relational database design and performance tuning. Experience designing maintainable application architectures and integrating third-party APIs. Knowledge of secure development practices, identity management, and protection of sensitive data. Experience with Git, automated testing, CI/CD, and Agile development. Demonstrated ability to independently own complex features, resolve technical problems, and communicate effectively with nontechnical stakeholders. Preferred Qualifications Experience developing healthcare, clinical research, patient recruitment, or patient referral applications. Familiarity with clinical trial recruitment, prescreening, eligibility criteria, and research site workflows. Experience building configurable workflow engines, rules-based matching, notifications, and operational reporting. Familiarity with consent and authorization tracking, accessibility, and multilingual patient experiences. What Success Looks Like You will deliver a dependable, easy-to-use product that helps coordinators process referrals efficiently, gives research sites clear visibility into referral status, and makes it easier for prospective participants to connect with relevant clinical trials. You will take ownership of technical quality while balancing delivery speed, maintainability, privacy, and user needs.
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Credit Technology, Senior Software Engineer - Chicago The Team Morningstar DBRS is a Nationally Recognized Statistical Ratings Organization (NRSRO) that has earned a reputation for innovation and excellence in the financial market. This group aims to increase market transparency and provides the highest quality ratings through securities research, monitoring services, data, and technology solutions. We are seeking a highly motivated individual to join our Credit Technology group as a Senior Software Engineer in Chicago. Technology drives our business. Our team is made up of talented software engineers, infrastructure engineers, leaders and UX professionals. We care about technology as a craft and a differentiator. The Role We are seeking a Senior JavaScript Software Engineer with full-stack experience. The position includes the development of new systems and maintenance and improvement of existing applications. Candidates should have solid software engineering experience in building commercial-grade Web-based applications. You will work with other engineers to develop APIs and modernize the platform to build leading product experiences. A successful candidate will be able to play an active role in managing the prioritization of work in order to meet project goals. This position is based in our Chicago office. Responsibilities Develop backend API's using node.js framework. Develop single page app and responsive UI using client-side frameworks such as Angular.js or vue.js. Create cascading style sheets (CSS) that are consistent across all browsers and platforms. Use an Agile approach to iteratively maintain and develop new functionality. Stay up-to-date on emerging technologies. Promote usability best practices. Requirements A bachelor's degree in computer science, mathematics, or other related fields. 5-7 years of development experience with HTML5, JavaScript and CSS3. 3-5 years of experience with SPA client-side frameworks such as Angular.js or Vue.js. 3-5 years experience with server-side technologies such as Node.JS, or Java. Proven knowledge of enterprise software concerns such as security, scalability, transaction management, and concurrency. Familiarity with design patterns like MVC and MVVM required. Experience working in Scrum-based methodologies is a plus. Experience working with SASS, and build process management tools like Grunt or Gulp. Highly motivated individual with the potential and desire to learn new technologies and take on an increasing level of responsibility within the technology team. The ability to work independently communicates effectively and produces superior results. Experience within the financial services industry is desirable. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Total Cash Compensation Range $117 350.00 Inclusive of annual base salary and target incentive Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R06_DBRSInc DBRS, Inc. - US Legal Entity
11/10/2026
Full time
This job is with Morningstar, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Credit Technology, Senior Software Engineer - Chicago The Team Morningstar DBRS is a Nationally Recognized Statistical Ratings Organization (NRSRO) that has earned a reputation for innovation and excellence in the financial market. This group aims to increase market transparency and provides the highest quality ratings through securities research, monitoring services, data, and technology solutions. We are seeking a highly motivated individual to join our Credit Technology group as a Senior Software Engineer in Chicago. Technology drives our business. Our team is made up of talented software engineers, infrastructure engineers, leaders and UX professionals. We care about technology as a craft and a differentiator. The Role We are seeking a Senior JavaScript Software Engineer with full-stack experience. The position includes the development of new systems and maintenance and improvement of existing applications. Candidates should have solid software engineering experience in building commercial-grade Web-based applications. You will work with other engineers to develop APIs and modernize the platform to build leading product experiences. A successful candidate will be able to play an active role in managing the prioritization of work in order to meet project goals. This position is based in our Chicago office. Responsibilities Develop backend API's using node.js framework. Develop single page app and responsive UI using client-side frameworks such as Angular.js or vue.js. Create cascading style sheets (CSS) that are consistent across all browsers and platforms. Use an Agile approach to iteratively maintain and develop new functionality. Stay up-to-date on emerging technologies. Promote usability best practices. Requirements A bachelor's degree in computer science, mathematics, or other related fields. 5-7 years of development experience with HTML5, JavaScript and CSS3. 3-5 years of experience with SPA client-side frameworks such as Angular.js or Vue.js. 3-5 years experience with server-side technologies such as Node.JS, or Java. Proven knowledge of enterprise software concerns such as security, scalability, transaction management, and concurrency. Familiarity with design patterns like MVC and MVVM required. Experience working in Scrum-based methodologies is a plus. Experience working with SASS, and build process management tools like Grunt or Gulp. Highly motivated individual with the potential and desire to learn new technologies and take on an increasing level of responsibility within the technology team. The ability to work independently communicates effectively and produces superior results. Experience within the financial services industry is desirable. If you receive and accept an offer from us, we require that personal and any related investments be disclosed confidentially to our Compliance team. These investments will be reviewed to ensure they meet Code of Ethics requirements. If any conflicts of interest are identified, then you will be required to liquidate those holdings immediately. In addition, dependent on your department and location of work certain employee accounts must be held with an approved broker (for example all, U.S. employee accounts). If this applies and your account(s) are not with an approved broker, you will be required to move your holdings to an approved broker. Compensation and Benefits At Morningstar we believe people are at their best when they are at their healthiest. That's why we champion your wellness through a wide range of programs that support all stages of your personal and professional life. Here are some examples of the offerings we provide: Financial Health 100% 401k match up to 6% of salary Stock Ownership Potential Company provided life insurance - 1x salary + commission Physical Health Comprehensive health benefits (medical/dental/vision) including potential premium discounts and company-provided HSA contributions (up to $500-$2,000 annually) for specific plans and coverages Additional medical Wellness Incentives - up to $300-$600 annual Company-provided long- and short-term disability insurance Emotional Health Trust-Based Time Off 6-week Paid Sabbatical Program 6-Week Paid Family Caregiving Leave Competitive 8-24 Week Paid Parental Leave Adoption Assistance Leadership Coaching & Formal Mentorship Opportunities Annual Flex Stipend - $1000 annually to cover personal education & well-being expenses Tuition Reimbursement Social Health Charitable Matching Gifts program Dollars for Doers volunteer program Paid volunteering days 15+ Employee Resource & Affinity Groups Total Cash Compensation Range $117 350.00 Inclusive of annual base salary and target incentive Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues. R06_DBRSInc DBRS, Inc. - US Legal Entity
This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details
11/10/2026
Full time
This position will be based at our New York Campus and require a hybrid work environment: 2 days weekly onsite and 3 days weekly remote. Who we are Variable is the applied innovation team within Northwestern Mutual. Our mission is to experiment with emerging technologies and technical strategies to meaningfully influence our organization's technology roadmaps and investments. We partner with teams from across the entire organization to bring emerging technology to forefront. We are committed to fostering a diverse, equitable, and inclusive environment that nurtures innovation. Our team provides a stable yet dynamic platform for personal and professional growth, allowing individuals to drive meaningful change throughout our organization. About the Role We are hiring a senior engineer to lead technical strategy work and to build the proofs of concept that give that strategy its evidence. The role sits between engineering, architecture, and the business. In a typical quarter you will shape the architecture for a new class of system, get architects, risk partners, and product owners aligned on a path none of them owns alone, write the recommendation that goes to senior leadership, and build enough of the system to show that the recommendation holds. The work today centers on AI systems in regulated environments: agentic workflows and automations; the API, authorization, and fraud controls that make them safe; evaluation of systems whose outputs are non-deterministic; and the governance that lets them run in production. You will work with vendor platforms as often as with code we write ourselves, and much of the job is discovering what enterprise systems can actually do and what it would take to change them. You have led, or owned a major workstream in, technical transformation programs inside a large, regulated organization. You know how enterprise systems, controls, and decision rights work, and you can still open an editor and have something working in days. You write clearly and persuasively, because most of your work will lean on influence and will travel as documents. What You'll Do Develop technical strategy for the enterprise's highest-uncertainty technology questions: what to build, what to buy, what to wait on, and what has to be true for each path to work. Design reference architectures for new classes of systems, with particular attention to authorization, data access, audibility, and failure modes in a regulated environment. Demonstrate business value, feasibility, and scale in every recommendation, and say plainly when an idea should stop. Build coalitions across enterprise architecture, risk, fraud, information security, legal, product, and operations. Write the decision documents that let those groups agree, run the working sessions, and carry disagreement without stalling the work. Scope proofs of concept as hypotheses with a success measure and a stopping rule, then build them: working software against real enterprise systems and vendor platforms, built to answer a specific question and then handed off or retired. Lead the enterprise's approach to evaluating and enabling non-deterministic systems: test sets, assertion-based scoring, model-graded evaluation calibrated against human judgment, and the monitoring that follows a system into production. Evaluate vendor platforms and make build, buy, or partner recommendations backed by evidence and fitted to the enterprise's constraints. Maintain gap registers and readiness assessments that tell leadership what stands between a proof of concept and production, with a short-term and a long-term option for each gap. Present findings and recommendations to senior leadership in writing and in short sessions, and hand completed work to the teams that will own it. Work daily with AI coding agents. Set up the repositories, tests, and harnesses that let them produce reliable work, and review what they produce critically. What You'll Bring to the Role 7+ years in software engineering, including inside a large, regulated organization. Systems and integration architecture as your core expertise: APIs, identity and authorization, systems of record, integration patterns, and the vendor platforms that sit between them. Shipped applications on large language model APIs, including tool use, structured outputs, retrieval, and multi-step agents, with working knowledge of how these systems fail (hallucination, prompt injection, tool misuse, drift) and how to measure them. Experience designing evaluation for AI systems, and enough statistics to read the results honestly. Production experience in Python and TypeScript, with the range to build a service, an integration, and a usable interface without waiting on anyone. Cloud infrastructure inside enterprise guardrails: identity, secrets, network constraints, infrastructure as code, and model access through managed services such as AWS Bedrock or Azure OpenAI. Integration of third-party platforms and SDKs, including exposing enterprise capabilities to agents through tool interfaces (MCP servers or equivalent) with least privilege. Security and privacy judgment for AI in financial services: handling of client data, least privilege for autonomous systems, auditability, and model risk. Fluency with AI coding tools as a daily working method, and the judgment to know when their output is wrong. Clear writing. You can turn a complicated technical situation into a two-page recommendation a senior leader can decide on. A record of aligning stakeholders who do not report to you, in an organization where no single person owns the decision. We work with: Python, TypeScript, AWS, Terraform, and frontier model APIs accessed through enterprise-managed services. We also dive deep into third-party platforms. We test, learn, share, and repeat. Preferred Qualifications Experience playing key roles in problem definition, architecture, creating organizational alignment, and delivering a working result. A record of finding an opportunity no one assigned you, making the business case, and delivering it. Experience carrying a proof of concept into a production pilot owned by another team, on custom-built and vendor platforms alike, including the readiness, control, and handoff work it required. Insurance, wealth management, or financial planning domain knowledge, including advisor-facing tools. AI governance and model risk management: continuous monitoring, drift detection, authorization models for autonomous systems, and the documentation auditors and regulators expect. Time in an architecture, strategy, or platform function at a large company, where your output was a implementable strategy. Experience codifying business processes or institutional knowledge for automation. A short account of an endeavor that failed and your assessment as to why and what you learned. Skills You'll Have Cross-Functional Collaboration: Partnering with product, business, architecture, infrastructure, security, and quality teams. Technical Leadership: Guiding technical decisions, mentoring engineers, and improving engineering practices. Software Architecture: Contributing to the high-level structure, design patterns, integrations, and technical standards of a software system. Software Engineering: Applying engineering principles and development practices to design, build, test, deploy, and maintain reliable software. Programming Language Expertise: Hands-on proficiency in the languages required by the team, such as Java, C#, Python, JavaScript, TypeScript, C++, or Go. Application Development: Designing, developing, testing, and maintaining applications that meet business and user needs. Systems Integration: Connecting internal or third-party applications, services, APIs, databases, and platforms. Compensation Range: Pay Range - Start: $136,800.00 Pay Range - End: $205,200.00 Geographic Specific Pay Structure: Structure 110: $130,880.00 USD - $196,320.00 USD Structure 115: $136,800.00 USD - $205,200.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives. Skills Data Literacy (NM), Strategic Vision & Planning (NM), IT Strategy (NM), Application Security (NM), Release Management (NM), Application Performance Management (NM), Business Application (NM) . click apply for full job details
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice. Responsibilities: Lead the design, development, and deployment of secure, multi-cloud and hybrid environments, ensuring all architectures are in strict accordance with Zero Trust principals and aligned with the DoD Architecture Provide subject matter expertise on federal cybersecurity regulations, including the NIST Risk Management Framework (RMF), CMMC, and FedRAMP, ensuring solutions are secure and compliant by design Build, mentor, and lead a team of cybersecurity and cloud engineerings Provide hands-on technical guidance across core infrastructure domains Architect and implement advanced enterprise networking, virtualization, and containerization (e.g., Kupernetes, Docker) strategies to support secure, scalable, and resilient application deployments Interface directly with senior federal clients, translating complex mission requirements into robust, scalable, and resilient technical solutions Articulate complex technical concepts to both technical and non-technical stakeholders Qualifications: A minimum of five years of experience in systems engineering, cybersecurity, or enterprise architecture; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; Master's degree preferred Experience with Identity, Credential, and Access Management (ICAM) solutions and architectures ICAM Solutions certification preferred (e.g. Okta, Sailpoint, Ping, CyberArk) Deep technical expertise in Microsoft Azure services, security controls, and government-specific environments (e.g. Azure Government) Hands-on expertise with a broad range of Zero Trust-enabling technologies such as SASE, micro-segmentation, software-defined networking, or advanced endpoint protection Experience designing and securing large-scale container orchestration platforms and complex virtualized data centers Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
11/10/2026
Full time
The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility, and leading market tools, we help our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Lead Specialist to join our Federal Advisory practice. Responsibilities: Lead the design, development, and deployment of secure, multi-cloud and hybrid environments, ensuring all architectures are in strict accordance with Zero Trust principals and aligned with the DoD Architecture Provide subject matter expertise on federal cybersecurity regulations, including the NIST Risk Management Framework (RMF), CMMC, and FedRAMP, ensuring solutions are secure and compliant by design Build, mentor, and lead a team of cybersecurity and cloud engineerings Provide hands-on technical guidance across core infrastructure domains Architect and implement advanced enterprise networking, virtualization, and containerization (e.g., Kupernetes, Docker) strategies to support secure, scalable, and resilient application deployments Interface directly with senior federal clients, translating complex mission requirements into robust, scalable, and resilient technical solutions Articulate complex technical concepts to both technical and non-technical stakeholders Qualifications: A minimum of five years of experience in systems engineering, cybersecurity, or enterprise architecture; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; Master's degree preferred Experience with Identity, Credential, and Access Management (ICAM) solutions and architectures ICAM Solutions certification preferred (e.g. Okta, Sailpoint, Ping, CyberArk) Deep technical expertise in Microsoft Azure services, security controls, and government-specific environments (e.g. Azure Government) Hands-on expertise with a broad range of Zero Trust-enabling technologies such as SASE, micro-segmentation, software-defined networking, or advanced endpoint protection Experience designing and securing large-scale container orchestration platforms and complex virtualized data centers Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Distinguished Technologist - Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Distinguished Technologist - Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 15+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity • Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $182,750 to $292,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Distinguished Technologist - Enterprise Integration and Platform Native AI Description - Role Summary We are seeking an exceptional Distinguished Technologist - Enterprise Integration & AI to lead HP's enterprise integration and AI architecture at global scale. This role serves as a technical authority, strategic thought leader, and innovation driver , responsible for shaping HP's integration fabric, API economy, and AI enablement strategy across Digital Tech. The Distinguished Engineer will define long-term architecture vision, influence enterprise-wide technology decisions, and ensure scalable, secure, and AI-ready platforms that accelerate business outcomes. This role operates at the intersection of integration, APIs, data, and AI , driving foundational capabilities that power HP's digital transformation and agentic AI future. Key Responsibilities API & AI-First API Strategy and Governance Define and lead HP's AI-first API strategy , ensuring all enterprise APIs are discoverable, reusable, and optimized for machine and agent consumption Institutionalize the API-as-a-Product operating model, with clear ownership, lifecycle governance, and measurable business value Own and enforce enterprise-wide API governance standards, covering design, lifecycle, security, and AI readiness Define and operationalize the AI-Ready API Framework , including automated governance gates to ensure production readiness Enable HP's Unified API & Agentic AI Strategy , positioning APIs as the foundation for enterprise AI adoption Establish standards for emerging integration paradigms, including event-driven architectures and MCP (Model Context Protocol) Platform AI Enablement & Governance Orchestrate AI enablement and adoption across strategic platforms (SAP, ServiceNow, Adobe, MuleSoft, NOVA) Own the enterprise AI/ML governance process, including AI board reviews, privacy, risk, and cybersecurity compliance Evaluate and guide platform-native AI capabilities to ensure alignment with enterprise architecture and compliance requirements Lead cross-functional AI enablement initiatives to drive consistent adoption and measurable business outcomes Align platform AI initiatives with enterprise prioritization frameworks (e.g., Digital AI Nerve Center) Evaluate AI tooling, vendor solutions, and partner ecosystems for alignment with integration and platform strategy Enable AI-driven SDLC adoption for partner ecosystems (e.g., NOVA vendors), including onboarding, compliance, and knowledge integration Lead/ support key tech initiatives Lead evaluation of new and emerging tech, conduct POC, and lay down path for adoption. Lead the EPS AI initiatives through AI/ML review board and cyber approval process. Partner with Applied AI teams for knowledge sharing of Enterprise AI initiatives Coach and mentor teams in their AI journey Improve reuse, reduce duplication, and strengthen governance via API-as-a-product discipline Enable scalable, enterprise-grade AI products (e.g., IBDF, AIOps) delivering measurable business value Qualifications & Experience 15+ years of experience in enterprise architecture, integration, and platform engineering Proven track record defining and implementing enterprise integration strategies and API ecosystems at scale Deep expertise in integration patterns (event-driven, messaging, APIs, microservices) and cloud-native architectures Experience leading AI/ML enablement, governance, and platform integration in large enterprises Strong understanding of enterprise platforms (SAP, ServiceNow, Adobe, MuleSoft) and their AI capabilities Demonstrated ability to influence executive stakeholders and drive cross-functional alignment Recognized as a thought leader and technical authority , with experience mentoring senior architects and engineers Leadership Expectations Act as a trusted advisor to executive leadership on enterprise architecture and AI strategy Drive innovation by identifying emerging technologies and translating them into enterprise capabilities Mentor and elevate the technical community, fostering architectural excellence across HP Represent HP externally with partners, customers, and industry forums as a leader in integration and AI Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 12+ years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple functions and influences long-term strategic direction across multiple disciplines or areas of HP. Complexity • Invents, develops and introduces new methods and techniques that impact multiple disciplines and work groups. Pay & Benefits The pay range for this role is $182,750 to $292,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Technical Program Manager - Ecosystem Description - Job Summary This role is critical to the success of the WXP-Print portfolio, serving as the primary execution leader responsible for driving delivery across a complex ecosystem of platform capabilities, business applications, shared services, engineering teams, and partner organizations. The role translates approved business priorities into executable delivery plans by driving planning, dependency management, risk mitigation, release readiness, and cross-functional alignment across multiple products, technologies, and organizations. Programs typically span multiple products, technologies, and organizations, often involving 10+ teams across cloud services, enterprise software, data, security, operations, and firmware domains. Requires strong leadership, communication, technical breadth, and business acumen to navigate cross-organizational dependencies, align stakeholders, and drive predictable, high-quality delivery. Partners closely with Product Management, Engineering, Architecture, Customer Success, Support, and Operations teams to facilitate requirements clarification, execution planning, dependency management, and prioritization discussions. The individual provides data-driven analysis, delivery options, risk assessments, capacity considerations, and trade-off recommendations that enable Product Management and business stakeholders to make informed roadmap, investment, and prioritization decisions. Responsible for ensuring execution aligns with approved product priorities and business outcomes while maintaining delivery commitments. The role owns end-to-end program execution, including planning, dependency management, risk mitigation, issue resolution, release readiness, stakeholder communication, and escalation management for highly visible and business-critical initiatives. In addition, the role drives continuous improvement of execution practices through standardized processes, modern tools, automation, and AI-enabled capabilities that improve visibility, predictability, quality, and delivery outcomes. Responsibilities Technical Program Leadership Lead execution of complex, multi-team technical programs spanning multiple products, services, platforms, and organizations. Drive cross-organizational dependency management across engineering, product management, platform, architecture, security, operations, firmware, and external partner teams. Develop detailed execution plans, milestones, resource assumptions, release plans, and delivery commitments. Lead release planning and readiness activities across development, validation, deployment, operations, support, and post-release activities. Facilitate execution reviews, issue resolution, and technical trade-off discussions to maintain delivery commitments. Own program status, delivery health, risks, issues, and mitigation strategies. Proactively identify technical, architectural, operational, and organizational risks and drive resolution plans. Track execution across releases, features, defects, dependencies, testing, and readiness activities to ensure delivery completeness and quality. Communicate progress, risks, key decisions, and delivery status to stakeholders and leadership. Consolidate technical input from Engineering, Architecture, Quality, Security, and Operations teams to provide clear visibility into implementation effort, technical complexity, dependencies, risks, resource constraints, and delivery timelines, enabling informed business and product decisions. Drive continuous improvement of program execution practices and delivery effectiveness. Business & Execution Alignment Partner with Product Management, Architects, and Engineering teams to refine requirements, clarify scope, and ensure initiatives are execution-ready. Translate approved business priorities into executable workstreams, milestones, release plans, resource needs, and delivery strategies. Support prioritization and trade-off discussions by providing technical feasibility assessments, execution impact analysis, delivery recommendations, and alternative implementation approaches. Drive alignment across product, engineering, support, security, and operations teams to ensure successful execution. Assist in refining PRDs, user journeys, epics, features, acceptance criteria, MVP definitions, and phased delivery strategies to support engineering execution. Leadership & Organizational Effectiveness Influence outcomes across organizations without direct authority. Improve planning processes, governance, and execution transparency. Mentor program managers and contribute to program management best practices. Drive adoption of automation, AI-enabled workflows, and continuous improvement practices. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Engineering, Business Management, or a related discipline, or equivalent experience. Typically 7-10 years of experience supporting or leading complex technical programs, preferably in cloud, platform, SaaS, enterprise software, or device management environments. Proven experience leading cross-functional initiatives across multiple organizations and engineering teams. Experience working in Agile software development environments. Experience partnering closely with Product Managers, Architects, and Engineering leaders to convert business requirements into executable delivery plans. Experience supporting customer-facing initiatives and working with Customer Success, Support, Sales, or Operations organizations. Experience balancing customer commitments, delivery schedules, technical constraints, resource capacity, and organizational priorities. Experience driving large-scale delivery efforts involving multiple stakeholders and competing priorities. Preferred Certifications Program Management Professional (PMP) PMI Agile Certified Practitioner (PMI-ACP) SAFe Product Owner/Product Manager (POPM) SAFe Lean Portfolio Management (LPM) Certified Scrum Product Owner (CSPO) Knowledge & Skills Program & Delivery Leadership Technical Program Management Agile Methodology Portfolio Planning Dependency Management Risk Management Release Management Change Management Project Planning Milestone Management Continuous Improvement Scrum and Kanban Jira and Agile Delivery Tools Product & Business Acumen Requirements Management PRD Review and Development Business Case Analysis Roadmap Planning Support Prioritization Frameworks Trade-off Analysis Customer Journey Analysis Customer Feedback Analysis Data-Driven Decision Making Portfolio Governance Business Process Analysis Operational Readiness Planning Technical Skills Enterprise Software Cloud Platforms SaaS Solutions API-Based Systems Data Services Platform Technologies Systems Integration Software Development Lifecycle Leadership & Customer Skills Customer Centricity Executive Communication Stakeholder Management Strategic Thinking Influence Without Authority Problem Solving Negotiation Conflict Resolution Organizational Leadership Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Collaboration Business Acumen Strategic Thinking Impact & Scope Impacts multiple products, platforms, and strategic initiatives by leading cross-functional execution efforts and influencing delivery decisions for highly visible programs. Drives alignment across Product Management, Engineering, Architecture, Support, Operations, and Leadership teams. Directly impacts delivery predictability, customer readiness, operational outcomes, and business commitments. Shapes how initiatives are executed by improving planning quality, risk management, execution discipline, and organizational alignment. Complexity Works on highly complex initiatives where success requires balancing customer needs, business priorities, technical constraints, architectural direction, organizational dependencies, resource capacity, and delivery commitments. Must be comfortable operating in ambiguous environments where requirements evolve, priorities compete, and decisions require careful analysis of customer impact, business value, technical feasibility, resource availability, and delivery risk. Provides execution leadership and trade-off recommendations that enable business and product leaders to make informed decisions while ensuring delivery teams remain aligned and focused on successful outcomes. What Success Looks Like The successful candidate will: Deliver complex cross-functional initiatives on time and with high quality. Provide clear visibility into commitments, risks, dependencies . click apply for full job details
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Technical Program Manager - Ecosystem Description - Job Summary This role is critical to the success of the WXP-Print portfolio, serving as the primary execution leader responsible for driving delivery across a complex ecosystem of platform capabilities, business applications, shared services, engineering teams, and partner organizations. The role translates approved business priorities into executable delivery plans by driving planning, dependency management, risk mitigation, release readiness, and cross-functional alignment across multiple products, technologies, and organizations. Programs typically span multiple products, technologies, and organizations, often involving 10+ teams across cloud services, enterprise software, data, security, operations, and firmware domains. Requires strong leadership, communication, technical breadth, and business acumen to navigate cross-organizational dependencies, align stakeholders, and drive predictable, high-quality delivery. Partners closely with Product Management, Engineering, Architecture, Customer Success, Support, and Operations teams to facilitate requirements clarification, execution planning, dependency management, and prioritization discussions. The individual provides data-driven analysis, delivery options, risk assessments, capacity considerations, and trade-off recommendations that enable Product Management and business stakeholders to make informed roadmap, investment, and prioritization decisions. Responsible for ensuring execution aligns with approved product priorities and business outcomes while maintaining delivery commitments. The role owns end-to-end program execution, including planning, dependency management, risk mitigation, issue resolution, release readiness, stakeholder communication, and escalation management for highly visible and business-critical initiatives. In addition, the role drives continuous improvement of execution practices through standardized processes, modern tools, automation, and AI-enabled capabilities that improve visibility, predictability, quality, and delivery outcomes. Responsibilities Technical Program Leadership Lead execution of complex, multi-team technical programs spanning multiple products, services, platforms, and organizations. Drive cross-organizational dependency management across engineering, product management, platform, architecture, security, operations, firmware, and external partner teams. Develop detailed execution plans, milestones, resource assumptions, release plans, and delivery commitments. Lead release planning and readiness activities across development, validation, deployment, operations, support, and post-release activities. Facilitate execution reviews, issue resolution, and technical trade-off discussions to maintain delivery commitments. Own program status, delivery health, risks, issues, and mitigation strategies. Proactively identify technical, architectural, operational, and organizational risks and drive resolution plans. Track execution across releases, features, defects, dependencies, testing, and readiness activities to ensure delivery completeness and quality. Communicate progress, risks, key decisions, and delivery status to stakeholders and leadership. Consolidate technical input from Engineering, Architecture, Quality, Security, and Operations teams to provide clear visibility into implementation effort, technical complexity, dependencies, risks, resource constraints, and delivery timelines, enabling informed business and product decisions. Drive continuous improvement of program execution practices and delivery effectiveness. Business & Execution Alignment Partner with Product Management, Architects, and Engineering teams to refine requirements, clarify scope, and ensure initiatives are execution-ready. Translate approved business priorities into executable workstreams, milestones, release plans, resource needs, and delivery strategies. Support prioritization and trade-off discussions by providing technical feasibility assessments, execution impact analysis, delivery recommendations, and alternative implementation approaches. Drive alignment across product, engineering, support, security, and operations teams to ensure successful execution. Assist in refining PRDs, user journeys, epics, features, acceptance criteria, MVP definitions, and phased delivery strategies to support engineering execution. Leadership & Organizational Effectiveness Influence outcomes across organizations without direct authority. Improve planning processes, governance, and execution transparency. Mentor program managers and contribute to program management best practices. Drive adoption of automation, AI-enabled workflows, and continuous improvement practices. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Technology, Engineering, Business Management, or a related discipline, or equivalent experience. Typically 7-10 years of experience supporting or leading complex technical programs, preferably in cloud, platform, SaaS, enterprise software, or device management environments. Proven experience leading cross-functional initiatives across multiple organizations and engineering teams. Experience working in Agile software development environments. Experience partnering closely with Product Managers, Architects, and Engineering leaders to convert business requirements into executable delivery plans. Experience supporting customer-facing initiatives and working with Customer Success, Support, Sales, or Operations organizations. Experience balancing customer commitments, delivery schedules, technical constraints, resource capacity, and organizational priorities. Experience driving large-scale delivery efforts involving multiple stakeholders and competing priorities. Preferred Certifications Program Management Professional (PMP) PMI Agile Certified Practitioner (PMI-ACP) SAFe Product Owner/Product Manager (POPM) SAFe Lean Portfolio Management (LPM) Certified Scrum Product Owner (CSPO) Knowledge & Skills Program & Delivery Leadership Technical Program Management Agile Methodology Portfolio Planning Dependency Management Risk Management Release Management Change Management Project Planning Milestone Management Continuous Improvement Scrum and Kanban Jira and Agile Delivery Tools Product & Business Acumen Requirements Management PRD Review and Development Business Case Analysis Roadmap Planning Support Prioritization Frameworks Trade-off Analysis Customer Journey Analysis Customer Feedback Analysis Data-Driven Decision Making Portfolio Governance Business Process Analysis Operational Readiness Planning Technical Skills Enterprise Software Cloud Platforms SaaS Solutions API-Based Systems Data Services Platform Technologies Systems Integration Software Development Lifecycle Leadership & Customer Skills Customer Centricity Executive Communication Stakeholder Management Strategic Thinking Influence Without Authority Problem Solving Negotiation Conflict Resolution Organizational Leadership Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity Collaboration Business Acumen Strategic Thinking Impact & Scope Impacts multiple products, platforms, and strategic initiatives by leading cross-functional execution efforts and influencing delivery decisions for highly visible programs. Drives alignment across Product Management, Engineering, Architecture, Support, Operations, and Leadership teams. Directly impacts delivery predictability, customer readiness, operational outcomes, and business commitments. Shapes how initiatives are executed by improving planning quality, risk management, execution discipline, and organizational alignment. Complexity Works on highly complex initiatives where success requires balancing customer needs, business priorities, technical constraints, architectural direction, organizational dependencies, resource capacity, and delivery commitments. Must be comfortable operating in ambiguous environments where requirements evolve, priorities compete, and decisions require careful analysis of customer impact, business value, technical feasibility, resource availability, and delivery risk. Provides execution leadership and trade-off recommendations that enable business and product leaders to make informed decisions while ensuring delivery teams remain aligned and focused on successful outcomes. What Success Looks Like The successful candidate will: Deliver complex cross-functional initiatives on time and with high quality. Provide clear visibility into commitments, risks, dependencies . click apply for full job details
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/09/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
LexisNexis Legal & Professional
Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , 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 Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
11/09/2026
Full time
This job is with LexisNexis Legal & Professional , 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 Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
