Amazon Development Center U.S., Inc.
Herndon, Virginia
AWS Secure Connection Services (SCS) is looking for an experienced Software Development Engineer to join our growing team that will be building solutions to complex problems that will scale for Amazon Dedicated Cloud (ADC). ADC's bring AWS cloud solutions to a broad range of customers, countries, or organizations. Successful candidates will be able to grasp complex scenarios and find ways to innovate on behalf of the customer to deliver innovative solutions. At Amazon Web Services, we like to "work backwards": start by understanding what customers need and using that to guide our software engineering. We're looking for a software engineer who is experienced in listening to customers, synthesizing their needs, and rapidly iterating our services to quickly put features into customers' hands. Our best ideas become even better when we get feedback from real customer use. The sooner we can get that feedback, the more quickly we can grow. This position requires that the candidate selected must be a US Citizen and obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities - Working with business teams to understand customer issues and to investigate, prototype and deliver new and innovative solutions - Developing solutions to complex problems through improvements to processes or automation - Manage and grow innovative, production-quality tools to solve real operational problems, in Python, Perl, Ruby, Shell, Java, etc. - Closely coordinating with engineers and product managers across the organization to ensure we are delivering the highest value solutions to meet our customer's needs A day in the life As an SDE, you will be responsible for designing, developing, testing, and deploying scalable solutions. You will collaborate closely with a team of developers to influence our overall strategy and define the team's roadmap. You will also help drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. In this role you will: - Challenge themselves and teammates: Personal and professional growth is a key component of every day life at Amazon. The right candidate will be willing to take on hard problems and drive innovative automated solutions. - Have excellent communication and documentation skills: Able to communicate design and concepts to both technical and non-technical audiences from interns to directors, through clearly documented coding, writing and verbally. - Have keenness to explore: We are not blatant path followers. The right candidate will be comfortable taking a contrarian view point when it makes sense for our customers. - Be a Proactive thinker: Thinking critically about long term growth and scaling to meet a global demand is key. The right candidate will be willing to thoughtfully consider all aspects of choices and outcomes. - Have patience and persistence: Global impact is an iterative process. The right candidate will have an ingrained improvement loop of setting goals based on customer feedback, designing solutions, executing, refining and continuously improving. About the team 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. Why AWS? 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. 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. Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. 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. BASIC QUALIFICATIONS - 4+ 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 - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above 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, VA, Herndon - 143 400.00 USD annually
09/11/2026
Full time
AWS Secure Connection Services (SCS) is looking for an experienced Software Development Engineer to join our growing team that will be building solutions to complex problems that will scale for Amazon Dedicated Cloud (ADC). ADC's bring AWS cloud solutions to a broad range of customers, countries, or organizations. Successful candidates will be able to grasp complex scenarios and find ways to innovate on behalf of the customer to deliver innovative solutions. At Amazon Web Services, we like to "work backwards": start by understanding what customers need and using that to guide our software engineering. We're looking for a software engineer who is experienced in listening to customers, synthesizing their needs, and rapidly iterating our services to quickly put features into customers' hands. Our best ideas become even better when we get feedback from real customer use. The sooner we can get that feedback, the more quickly we can grow. This position requires that the candidate selected must be a US Citizen and obtain and maintain a security clearance at the TS/SCI with polygraph level. Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work. 10012 Key job responsibilities - Working with business teams to understand customer issues and to investigate, prototype and deliver new and innovative solutions - Developing solutions to complex problems through improvements to processes or automation - Manage and grow innovative, production-quality tools to solve real operational problems, in Python, Perl, Ruby, Shell, Java, etc. - Closely coordinating with engineers and product managers across the organization to ensure we are delivering the highest value solutions to meet our customer's needs A day in the life As an SDE, you will be responsible for designing, developing, testing, and deploying scalable solutions. You will collaborate closely with a team of developers to influence our overall strategy and define the team's roadmap. You will also help drive the system architecture, spearhead best practices that enable a quality product, and help coach and develop junior engineers. In this role you will: - Challenge themselves and teammates: Personal and professional growth is a key component of every day life at Amazon. The right candidate will be willing to take on hard problems and drive innovative automated solutions. - Have excellent communication and documentation skills: Able to communicate design and concepts to both technical and non-technical audiences from interns to directors, through clearly documented coding, writing and verbally. - Have keenness to explore: We are not blatant path followers. The right candidate will be comfortable taking a contrarian view point when it makes sense for our customers. - Be a Proactive thinker: Thinking critically about long term growth and scaling to meet a global demand is key. The right candidate will be willing to thoughtfully consider all aspects of choices and outcomes. - Have patience and persistence: Global impact is an iterative process. The right candidate will have an ingrained improvement loop of setting goals based on customer feedback, designing solutions, executing, refining and continuously improving. About the team 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. Why AWS? 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. 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. Diverse Experiences AWS 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. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. 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. BASIC QUALIFICATIONS - 4+ 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 - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - Experience programming with at least one software programming language PREFERRED QUALIFICATIONS - Bachelor's degree in computer science or equivalent - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Current, active US Government Security Clearance of Top Secret with SCI eligibility or above 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, VA, Herndon - 143 400.00 USD annually
Job Description Date Posted: 2026-09-10 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: Active and transferable U.S. government issued security clearance is required prior to start date. 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. At RTX, the world 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. The mission of the software team in Marlborough, MA is to provide world-class software for our customers. We are looking to add software engineers to our development team for a wide array of products including Surveillance and Warning systems. We value your diverse skills and experience, so don't hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. What You Will Do: Participate in collaborative, integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications Assist and participate in the requirements, design, development and testing of real-time software, application software, and tools, to include development of new work products or enhancement of existing applications and systems Work collaboratively to analyze, implement and test system Qualifications You Must Have: Typically requires a Bachelor's in Computer Science, Computer Engineering, or related (STEM) degree Minimum of 5 years professional software programming experience in development, integration, or test using C++, Java or similar object-oriented software language Qualifications We Prefer: Strong problem-solving, teamwork and communication skills Proven self-motivated problem solver who can look at a situation, identify gaps or issues, and take initiative to resolve them (technically, with process, and with documentation) Desire and ability to learn new technologies and tools Experience developing software using Agile techniques such as Scrum, SAFe, Test-Driven Development Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration, and performance Ability to work in a fast-paced, dynamic environment with time-critical requirements Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems Experience working with Continuous Integration/Development & Integrated development tools such as Azure, Git, Atlassian Suite, Eclipse, and Ansible Knowledge of Red Hat and/or Linux Operating Systems Exposure to Open Systems Architectures and modular design principles 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 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. 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
09/11/2026
Full time
Job Description Date Posted: 2026-09-10 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: Active and transferable U.S. government issued security clearance is required prior to start date. 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. At RTX, the world 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. The mission of the software team in Marlborough, MA is to provide world-class software for our customers. We are looking to add software engineers to our development team for a wide array of products including Surveillance and Warning systems. We value your diverse skills and experience, so don't hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. What You Will Do: Participate in collaborative, integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications Assist and participate in the requirements, design, development and testing of real-time software, application software, and tools, to include development of new work products or enhancement of existing applications and systems Work collaboratively to analyze, implement and test system Qualifications You Must Have: Typically requires a Bachelor's in Computer Science, Computer Engineering, or related (STEM) degree Minimum of 5 years professional software programming experience in development, integration, or test using C++, Java or similar object-oriented software language Qualifications We Prefer: Strong problem-solving, teamwork and communication skills Proven self-motivated problem solver who can look at a situation, identify gaps or issues, and take initiative to resolve them (technically, with process, and with documentation) Desire and ability to learn new technologies and tools Experience developing software using Agile techniques such as Scrum, SAFe, Test-Driven Development Experience leveraging Generative AI and Machine Learning to improve productivity, collaboration, and performance Ability to work in a fast-paced, dynamic environment with time-critical requirements Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems Experience working with Continuous Integration/Development & Integrated development tools such as Azure, Git, Atlassian Suite, Eclipse, and Ansible Knowledge of Red Hat and/or Linux Operating Systems Exposure to Open Systems Architectures and modular design principles 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 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. 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 Date Posted: 2026-09-10 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. The mission of the software teams in Woburn, MA and Tewksbury, MA is to provide world-class software for our customers. We are looking to add software engineers to our development teams for a wide array of products including Battle Management, Command & Control, Communications, Effectors, and Surveillance and Warning systems. We value your diverse skills and experience, so don't hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. What You Will Do: Participate in collaborative, cross-discipline integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications Assist and participate in the requirements, design, development and testing of real-time software, application software, and tools, to include development of new work products or enhancement of existing applications and systems Work collaboratively to analyze, implement and test system Qualifications You Must Have: Bachelor's Degree in Computer Science, Computer Engineering or a related (STEM) discipline Minimum of five (5) or more years of relevant software programming experience in development, integration, and/or test using C++, Java or similar object-oriented software language Qualifications We Prefer: Experience leading teams Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems Experience working in Agile environment such as Scrum, SAFe, Test-Driven Development, DevSecOps Strong problem-solving, teamwork and communication skills Desire and ability to learn new technologies and tools Ability to work in a fast-paced, dynamic environment with time-critical requirements Experience with CI/CD tools (e.g., Jenkins), configuration management tools (e.g., Azure, Jira, Git, Bitbucket, Artifactory), and data analysis tools (e.g., MATLAB, Python). Knowledge of data structures, algorithms, memory management, and multithreaded applications. Knowledge of Red Hat and/or Linux Operating Systems Knowledge of Windows development Exposure to Open Systems Architectures and modular design principles 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 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. 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
09/11/2026
Full time
Job Description Date Posted: 2026-09-10 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date 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. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring 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. Our team solves tough, meaningful problems that create a safer, more secure world. The mission of the software teams in Woburn, MA and Tewksbury, MA is to provide world-class software for our customers. We are looking to add software engineers to our development teams for a wide array of products including Battle Management, Command & Control, Communications, Effectors, and Surveillance and Warning systems. We value your diverse skills and experience, so don't hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. What You Will Do: Participate in collaborative, cross-discipline integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications Assist and participate in the requirements, design, development and testing of real-time software, application software, and tools, to include development of new work products or enhancement of existing applications and systems Work collaboratively to analyze, implement and test system Qualifications You Must Have: Bachelor's Degree in Computer Science, Computer Engineering or a related (STEM) discipline Minimum of five (5) or more years of relevant software programming experience in development, integration, and/or test using C++, Java or similar object-oriented software language Qualifications We Prefer: Experience leading teams Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems Experience working in Agile environment such as Scrum, SAFe, Test-Driven Development, DevSecOps Strong problem-solving, teamwork and communication skills Desire and ability to learn new technologies and tools Ability to work in a fast-paced, dynamic environment with time-critical requirements Experience with CI/CD tools (e.g., Jenkins), configuration management tools (e.g., Azure, Jira, Git, Bitbucket, Artifactory), and data analysis tools (e.g., MATLAB, Python). Knowledge of data structures, algorithms, memory management, and multithreaded applications. Knowledge of Red Hat and/or Linux Operating Systems Knowledge of Windows development Exposure to Open Systems Architectures and modular design principles 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 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. 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
Senior AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Amazon Development Center U.S., Inc.
Seattle, Washington
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. 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 principal engineers and 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. 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language 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 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, WA, Seattle - 143 400.00 USD annually
09/11/2026
Full time
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. 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 principal engineers and 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. 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language 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 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, WA, Seattle - 143 400.00 USD annually
Amazon Development Center U.S., Inc.
Seattle, Washington
Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management. Aurora DSQL automatically scales compute, I/O, and storage, so it can efficiently adapt to any workload needs. The active-active serverless design automates failure recovery, so customers don't have to worry about traditional database failover. Aurora DSQL helps customers to build and maintain applications that are always available at any scale. Aurora DSQL's Dataplane Frontend team is responsible for services and components critical for providing security in a multi-tenant environment (Firecracker µVMs), protocol correctness for connections and transactions, high availability for established and new sessions, infinite horizontal compute scalability, and low latency for transactions by optimally mapping them to available compute resources. This role requires delivering highly operable and maintainable software, continuous innovations to improve scalability, availability, latency, and efficiency. The team develops mostly in Rust and uses CDK (Amazon Cloud Development Kit) to define cloud infrastructure. If you are excited to contribute to a next generation hyper-scale database service and architecture and are curious and get things done, we would like you to consider our team. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Design, implement and deliver state-of-the-art distributed, high-performance data and transaction processing algorithms and solutions. Participate in design discussions, code review, and communicate with internal and external stakeholders. Deploy and monitor new features in a highly available and fault tolerant system running in the cloud. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Mentorship & Career Growth 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, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 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 programming with at least one software programming language - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience architecting/operating solutions built on AWS - Experience programming with Rust. 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, WA, Seattle - 143 400.00 USD annually
09/11/2026
Full time
Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management. Aurora DSQL automatically scales compute, I/O, and storage, so it can efficiently adapt to any workload needs. The active-active serverless design automates failure recovery, so customers don't have to worry about traditional database failover. Aurora DSQL helps customers to build and maintain applications that are always available at any scale. Aurora DSQL's Dataplane Frontend team is responsible for services and components critical for providing security in a multi-tenant environment (Firecracker µVMs), protocol correctness for connections and transactions, high availability for established and new sessions, infinite horizontal compute scalability, and low latency for transactions by optimally mapping them to available compute resources. This role requires delivering highly operable and maintainable software, continuous innovations to improve scalability, availability, latency, and efficiency. The team develops mostly in Rust and uses CDK (Amazon Cloud Development Kit) to define cloud infrastructure. If you are excited to contribute to a next generation hyper-scale database service and architecture and are curious and get things done, we would like you to consider our team. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Design, implement and deliver state-of-the-art distributed, high-performance data and transaction processing algorithms and solutions. Participate in design discussions, code review, and communicate with internal and external stakeholders. Deploy and monitor new features in a highly available and fault tolerant system running in the cloud. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Mentorship & Career Growth 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, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 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 programming with at least one software programming language - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS - Master's degree in computer science or equivalent - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience architecting/operating solutions built on AWS - Experience programming with Rust. 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, WA, Seattle - 143 400.00 USD annually
Senior Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Mgr, AI Engineering McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior Manager, AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 1 year of people leadership experience Preferred Qualifications: 3 years of experience managing and leading an engineering team 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Mgr, AI Engineering McLean, VA: $229,900 - $262,400 for Sr. Mgr, AI Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Francisco, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering San Jose, CA: $250,800 - $286,200 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
09/11/2026
Full time
Senior AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Job Description We are seeking an experienced .NET Developer with expertise in Blazor and C# to join our dynamic team. If you have a passion for innovation and a desire to contribute to unique and challenging projects, we would like to hear from you. Job Location: HYBRID. Tampa, Florida - Minimum 3 days in Office. Responsibilities: Design, develop, and maintain scalable web applications using .NET, Blazor, and C#. Collaborate with cross-functional teams to translate functional requirements into technical specifications. Lead development efforts in creating well-structured Blazor components and integrating them with various back-end services. Conduct performance tuning and code reviews to ensure high-quality and efficient code. Mentor junior developers, providing technical guidance and promoting best practices. Contribute to architectural decisions and actively participate in Agile development cycles. Collaborate with QA teams to ensure robust testing and seamless integration. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Minimum 5+ years of experience working with .NET and C# and Visual Studio. Strong hands-on experience with Blazor is a must. Proficient in SQL Server and T-SQL. Familiarity with modern front-end technologies such as JavaScript, HTML5, and CSS3. Strong understanding of software development life cycles, methodologies, and best practices. Experience with Git version control system. Excellent problem-solving skills, communication, and team collaboration abilities. Strong work ethic. Preferred Qualifications: Experience with cloud platforms such as Azure. Experience with SQL Server Integration Services. Experience with SQL Server Agent Jobs and Windows Task Manager. Experience working with labor management and time tracking software. Experience working with PointClickCare or MatrixCare. Interest or experience in AI/Machine Learning, proficient with Claude Code. Healthcare experience BENEFITS Our commitment to your success is enhanced by our competitive compensation and extensive benefits package including paid time off, medical, dental, vision and 401k benefits and future growth opportunities within the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture. ABOUT BLUE PURPOSE. Our Vision is to deliver the most powerful tool ever seen in the Senior Care industry. At Blue Purpose, our mission is clear: to empower senior care partners through our innovative software solutions. We're more than just a software development company; we're a passionate team with a purpose. Our focus on development, strategy, and design enables us to leverage technology to create transformative experiences in Senior Care that enhance the lives of our partners and their residents. Company Description ABOUT BLUE PURPOSE. Blue Purpose is transforming the long-term care industry through technology, data, and AI. Our flagship products, unifies operations, compliance, clinical, and financial insights into one intelligent platform that empowers caregivers to deliver better care and improve outcomes. Company Description ABOUT BLUE PURPOSE. Blue Purpose is transforming the long-term care industry through technology, data, and AI. Our flagship products, unifies operations, compliance, clinical, and financial insights into one intelligent platform that empowers caregivers to deliver better care and improve outcomes.
09/11/2026
Full time
Job Description Job Description We are seeking an experienced .NET Developer with expertise in Blazor and C# to join our dynamic team. If you have a passion for innovation and a desire to contribute to unique and challenging projects, we would like to hear from you. Job Location: HYBRID. Tampa, Florida - Minimum 3 days in Office. Responsibilities: Design, develop, and maintain scalable web applications using .NET, Blazor, and C#. Collaborate with cross-functional teams to translate functional requirements into technical specifications. Lead development efforts in creating well-structured Blazor components and integrating them with various back-end services. Conduct performance tuning and code reviews to ensure high-quality and efficient code. Mentor junior developers, providing technical guidance and promoting best practices. Contribute to architectural decisions and actively participate in Agile development cycles. Collaborate with QA teams to ensure robust testing and seamless integration. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. Minimum 5+ years of experience working with .NET and C# and Visual Studio. Strong hands-on experience with Blazor is a must. Proficient in SQL Server and T-SQL. Familiarity with modern front-end technologies such as JavaScript, HTML5, and CSS3. Strong understanding of software development life cycles, methodologies, and best practices. Experience with Git version control system. Excellent problem-solving skills, communication, and team collaboration abilities. Strong work ethic. Preferred Qualifications: Experience with cloud platforms such as Azure. Experience with SQL Server Integration Services. Experience with SQL Server Agent Jobs and Windows Task Manager. Experience working with labor management and time tracking software. Experience working with PointClickCare or MatrixCare. Interest or experience in AI/Machine Learning, proficient with Claude Code. Healthcare experience BENEFITS Our commitment to your success is enhanced by our competitive compensation and extensive benefits package including paid time off, medical, dental, vision and 401k benefits and future growth opportunities within the company. We strive to provide a collaborative, creative environment where each person feels encouraged to contribute to our processes, decisions, planning and culture. ABOUT BLUE PURPOSE. Our Vision is to deliver the most powerful tool ever seen in the Senior Care industry. At Blue Purpose, our mission is clear: to empower senior care partners through our innovative software solutions. We're more than just a software development company; we're a passionate team with a purpose. Our focus on development, strategy, and design enables us to leverage technology to create transformative experiences in Senior Care that enhance the lives of our partners and their residents. Company Description ABOUT BLUE PURPOSE. Blue Purpose is transforming the long-term care industry through technology, data, and AI. Our flagship products, unifies operations, compliance, clinical, and financial insights into one intelligent platform that empowers caregivers to deliver better care and improve outcomes. Company Description ABOUT BLUE PURPOSE. Blue Purpose is transforming the long-term care industry through technology, data, and AI. Our flagship products, unifies operations, compliance, clinical, and financial insights into one intelligent platform that empowers caregivers to deliver better care and improve outcomes.
Amazon Development Center U.S., Inc.
Seattle, Washington
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. 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 principal engineers and 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. 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language 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 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, WA, Seattle - 143 400.00 USD annually
09/10/2026
Full time
Amazon GuardDuty is a customer-facing threat detection service that is built to protect applications and services running on AWS. The service applies advanced data analytics to high-volume service logs and employs techniques such as machine learning, anomaly detection, and threat intelligence to identify and respond to potential risks at scale. The Amazon GuardDuty team is looking for a a highly skilled and innovative senior software engineer to help build the future of the service. You will work closely with applied scientists with Math PhDs, and security researchers to build advanced analytics and machine learning systems at AWS scale. You will have the opportunities to work in the emerging domain of AI Threat Detection, which extends GuardDuty to address the unique and emerging threats targeting AI models and generative AI applications. These include risks such as data poisoning, prompt injection, model exfiltration, and misuse of large language models. By developing detection systems for these evolving attack surfaces, you will help AWS customers adopt AI securely and with confidence. Our mission is to develop massively scalable, globally distributed detection systems that protect AWS customers from evolving threats and strengthen their security and compliance posture. Key job responsibilities - Design, build, and operate large-scale, distributed security detection systems. - Extend GuardDuty's capabilities in the CloudTrail Audit Logs domain, analyzing billions of API calls every day - Collaborate with applied scientists and security researchers to transform research outcomes, such as anomaly detection methods and large language model (LLM)-based approaches, into scalable, production-ready systems. - Drive the full software development lifecycle, including scoping, planning, design, implementation, testing, documentation, deployment, and operational support. - Conduct design and code reviews, providing feedback on architecture, scalability, performance, and integration. - Operate in a highly available, customer-facing environment with on-call responsibilities (typically one week every two months), and contribute to building resilient systems that minimize operational load. - Participate in root cause analysis and long-term improvements to ensure operational excellence and reduce recurring issues. 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 principal engineers and 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. 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 - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language 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 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, WA, Seattle - 143 400.00 USD annually
Amazon Development Center U.S., Inc.
Seattle, Washington
Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management. Aurora DSQL automatically scales compute, I/O, and storage, so it can efficiently adapt to any workload needs. The active-active serverless design automates failure recovery, so customers don't have to worry about traditional database failover. Aurora DSQL helps customers to build and maintain applications that are always available at any scale. Aurora DSQL's Dataplane Frontend team is responsible for services and components critical for providing security in a multi-tenant environment (Firecracker µVMs), protocol correctness for connections and transactions, high availability for established and new sessions, infinite horizontal compute scalability, and low latency for transactions by optimally mapping them to available compute resources. This role requires delivering highly operable and maintainable software, continuous innovations to improve scalability, availability, latency, and efficiency. The team develops mostly in Rust and uses CDK (Amazon Cloud Development Kit) to define cloud infrastructure. If you are excited to contribute to a next generation hyper-scale database service and architecture and are curious and get things done, we would like you to consider our team. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Design, implement and deliver state-of-the-art distributed, high-performance data and transaction processing algorithms and solutions. Participate in design discussions, code review, and communicate with internal and external stakeholders. Deploy and monitor new features in a highly available and fault tolerant system running in the cloud. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Mentorship & Career Growth 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, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 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 programming with at least one software programming language - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS- Master's degree in computer science or equivalent - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience architecting/operating solutions built on AWS - Experience programming with Rust. 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, WA, Seattle - 143 400.00 USD annually
09/10/2026
Full time
Aurora DSQL is a serverless, distributed SQL database with virtually unlimited scale, high availability, and zero infrastructure management. Aurora DSQL automatically scales compute, I/O, and storage, so it can efficiently adapt to any workload needs. The active-active serverless design automates failure recovery, so customers don't have to worry about traditional database failover. Aurora DSQL helps customers to build and maintain applications that are always available at any scale. Aurora DSQL's Dataplane Frontend team is responsible for services and components critical for providing security in a multi-tenant environment (Firecracker µVMs), protocol correctness for connections and transactions, high availability for established and new sessions, infinite horizontal compute scalability, and low latency for transactions by optimally mapping them to available compute resources. This role requires delivering highly operable and maintainable software, continuous innovations to improve scalability, availability, latency, and efficiency. The team develops mostly in Rust and uses CDK (Amazon Cloud Development Kit) to define cloud infrastructure. If you are excited to contribute to a next generation hyper-scale database service and architecture and are curious and get things done, we would like you to consider our team. Join us during this formative period of the product and be a leader in shaping the future of databases at Amazon and beyond! A day in the life As you design and code solutions to help our team drive efficiencies in software architecture, you'll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You'll also: Design, implement and deliver state-of-the-art distributed, high-performance data and transaction processing algorithms and solutions. Participate in design discussions, code review, and communicate with internal and external stakeholders. Deploy and monitor new features in a highly available and fault tolerant system running in the cloud. Work cross-functionally to help drive business decisions with your technical input. Work in a startup-like development environment, where you're always working on the most important stuff. About the team Mentorship & Career Growth 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, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. 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 programming with at least one software programming language - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Bachelor's degree or equivalent PREFERRED QUALIFICATIONS- Master's degree in computer science or equivalent - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience architecting/operating solutions built on AWS - Experience programming with Rust. 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, WA, Seattle - 143 400.00 USD annually
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
09/10/2026
Full time
Cox Automotive is seeking a Senior Enterprise Applications Engineer to design, build, and optimize large-scale applications that power our automotive and media platforms. You will architect and integrate enterprise systems, develop robust APIs, and ensure reliability, performance, and security for high-traffic, data-driven products. Partner with product, data, and infrastructure teams to deliver cloud-native solutions on platforms like AWS or Azure. Mentor engineers, guide best practices, and drive continuous improvement across CI/CD, observability, and automation in a collaborative, people-first culture. Responsibilities Design and evolve enterprise application architectures to support high-scale automotive and media platforms. Develop and maintain services and APIs using modern languages and frameworks. Integrate internal and third-party systems, ensuring secure, reliable data exchange. Optimize performance, scalability, and resiliency for mission-critical applications. Implement and improve CI/CD, testing, and automation practices. Collaborate with product, data, and infrastructure teams on technical solutions. Monitor and troubleshoot production systems, driving root-cause analysis and remediation. Mentor engineers and champion engineering best practices and coding standards. Required Skills Enterprise application architecture Java or C#/. NET development RESTful API design Microservices architecture SQL and No SQL databases Cloud platforms (AWS or Azure) CI/CD pipelines (Jenkins, Git Hub Actions, Azure Dev Ops) Containerization (Docker, Kubernetes) System integration (ERP/CRM, Saa S) Monitoring and observability (New Relic, Datadog, Splunk)
