Careers at Capital One

Staff Full-stack Engineer As a Staff Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Staff Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community. Staff Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. About the Team Business Cards & Payment's mission is to help businesses do more business - and the advent of Agentic AI offers massive new opportunities for BC&P to do so through real-time marketing and hyper personalized sales systems for business card customers. We’re hiring a Staff Engineer who is ready to carve BC&P’s path towards an agentic future. Your mission will be to move BC&P beyond manual and reactive marketing and sales tools - helping us create our destination architecture for marketing platforms, build tools that help our sales teams be more effective, and help us lay the technical foundations of a real-time marketing strategy. You’ll make direct contributions in this role: both defining our long term technical strategy and hands on prototyping, launch, and scaling of agentic systems. Example areas you’ll take on include: Real-time, hyper personalized marketing systems that accurately & explainably prospect and engage new business customers. Assistive technologies that arm our field agents with superhuman knowledge and context to grow deeper relationships and close more sales. Exploration of autonomous sales agents (AISDRs) that self-improve via RLAIF. As a Staff Engineer, you will be a technical expert defining the future of our architecture, collaborating across Capital One to drive innovation and deliver the systems that produce step function growth for our business. You will lead through direct technical contribution: prototyping new features and systems, acting as a trusted advisor for key technologies, shaping our future architecture & evaluating what systems to build vs buy, and sharing knowledge internally and externally. Additionally, you will promote engineering excellence, foster an inclusive environment, and deeply mentor the next generation of technical talent. If you are ready to work on some of the most cutting edge problems in our business, provide thought leadership, and have meaningful business impact, come join us in our mission to change banking for good! Key responsibilities: Rapidly prototype & assess new technologies that enable hyper personalized marketing and assistive field sales systems Partner with (& influence) our enterprise and card tech organizations to help Capital One develop the best agentic marketing & sales systems on the planet Establish and evangelize technical charters that will help the org more quickly adopt AI technologies Bridge the gap between our current systems and the future, ensuring that existing systems remain healthy and continue to serve the business Regularly clear roadblocks for developers across the org - with exceptional judgement for when to apply technical, process, or risk-acceptance solutions Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Provide architectural guidance and designs for large scale cross-domain programs Working with engineering teams to design and execute PoCs and hands-on code contribution/reviews where necessary Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 7 years of experience in all of the following: Software engineering and solution architecture Enterprise architecture and design patterns Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture Preferred Qualifications: Master’s Degree in Computer Science or Software Engineering Expertise in agentic AI coding tools to solve systemic development challenges 5+ years of experience working on applied & agentic AI systems Strong communication skills with the ability to translate Agentic AI concepts into business value 7+ years of experience mentoring senior engineers and driving professional development within technical teams 10+ years of experience in all of the following: Software engineering and solution architecture Enterprise architecture and design patterns Web technologies (JavaScript, TypeScript and SPA frameworks) Designing and building distributed HPC and ML systems Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala 8+ years of experience with database and database management systems 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies 10+ years of experience with Networking protocols and integration with third party distributed systems 5+ years of experience mentoring senior engineers and driving professional development within technical teams 2+ years of experience leading cross-domain architectural reviews and establishing coding and design standards Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges 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: $269,100 - $307,200 for Staff Full-stack Engineer Richmond, VA: $244,700 - $279,200 for Staff Full-stack 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Software Development Engineer - SRE Job Title: Senior Software Development Engineer - SRE Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK. About the Role We are looking for a Senior Engineer to join our Site Reliability Engineering (SRE) team. This role is ideal for a skilled Java engineer with a passion for understanding how complex systems work, analysing performance, and applying engineering solutions to make them more efficient, stable, and scalable. You'll lead on planning and implementing key SRE initiatives, optimise and automate how our systems operate, and improve observability through better monitoring and logging. You'll also work closely with your peers to drive consistency and high standards across SRE and the wider engineering community, so a real enthusiasm for influencing others and leading by example is essential. What you’ll do You will technically lead a group of engineers responsible for maintaining and improving our back-end services for our most critical customer and/or data applications within the cloud. Contribute to the major optimisation and improvement themes within the team. Identifying opportunities to reduce operational overheads through observability and service automation. Drive engineering best practice (e.g., Operational Excellence, Security, Quality, Resilience etc.) and set standards across the team and wider SRE community. Innovate within your team and contribute within your technical domain. Deliver key pieces of intent from inception through to design and hands-on delivery, in collaboration with your Site Reliability Engineering Manager. The skills and experience you need Production-grade experience of developing and managing APIs using Java & Springboot. Excellent understanding of SOLID principles, SOA, HTTP and REST. Production experience running microservices on container orchestration architectures. Good understanding of API authentication and authorisation mechanisms like OAuth. Knowledge using monitoring & logging tools to troubleshoot problems in a distributed network of systems. Excellent understanding of infrastructure as code and CI/CD pipeline management via Jenkins. Strong experience in back-end architectural and design patterns. Where and how you'll work This is a permanent position based in our Nottingham office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What’s in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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).

Full-stack Engineer 4 (Manager, IC) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Provide technical leadership and direction across Agile teams, setting standards for design, development, and operational excellence Partner with architects to define service boundaries, integration patterns, and reusable frameworks Proactively identify areas for improvement, implementing targeted refactoring and contributing to efforts that reduce technical debt and enhance system performance Influence long-term technology strategy through evaluation of emerging tools and practices in a ‘you build it, you own it’ environment Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Voyager (94001), India, Bangalore, Karnātaka Senior Software Engineer - Fullstack Capital One has been a pioneer through our tech journey as the first large bank to go all in on the public cloud, while operating in a complex and highly regulated business environment. We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale. Risk Tech is responsible for transforming risk management into a real time, intelligent discipline powered by modern products and technical capabilities. Our mission is divided into two primary functional pillars: Risk Management Tech (RMT), which develops the frameworks and tools for monitoring risks, testing controls, and managing regulatory requirements; and AML and Compliance Tech (ACT), which ensures our products are delivered ethically and in strict compliance with BSA/AML regulations and global laws. Reinforcing these pillars are our commitment to Architecture & Engineering Excellence. Our Architecture team bridges the gap between business strategy and technical execution through a customer centric, domain oriented lens, while our Engineering Excellence team empowers our talent to build better, more resilient systems every day. Together, we ensure that Risk Tech isn't just a safeguard - it’s a competitive advantage. Principal Associate - Software Engineering Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you will have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: ● Be part of a team to design, architect, and then deliver distributed microservices based robust, cloud native, resilient, and highly scalable fullstack solutions for a SaaS application ● Display a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions ● Utilize programming languages like, Java, Scala, Go, React, TypeScript, JavaScript, HTML/CSS,, SQL, and Python, RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services ● Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. ● Lead the craftsmanship, availability, resilience,and scalability of your solutions ● Collaborate with architects and product managers, and deliver robust cloud-based solutions that drive powerful experiences for our customers Basic Qualifications: ● Bachelor’s Degree in Computer Science or Engineering ● At least 5 years of experience in software engineering (Internship experience does not apply) in one or more of the following: Java, Scala, Golang, React, Node, JavaScript, TypeScript, or Python ● At least 2 years of experience with one or more cloud platforms: AWS, GCP, Azure ● At least 1 year of experience with REST, Spring Boot, GraphQL, Jenkins ● At least 1 year of experience with containerization technologies Preferred Qualifications: ● Master’s Degree in Computer Science or Engineering ● 6+ years of experience specifically in one or more: Java, Scala, Golang, React, Node, JavaScript, TypeScript, or Python ● 3+ years of experience with AWS, GCP, Azure or other cloud services ● 2+ years of experience with containerization technologies ● 2+ years of experience in front-end development ● 1+ years of experience in open source frameworks ● 1+ years of experience in Big Data, Data Security, Governance and Controls ● 1+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Voyager (94001), India, Bangalore, Karnātaka Senior Manager - Fullstack (People Leader) About Capital One Capital One has been a pioneer through our tech journey as the first large bank to go all in on the public cloud, while operating in a complex and highly regulated business environment. We have built out a large engineering organization, moved to the cloud, re-architected our applications and data platforms, and embraced machine learning at scale. Our AI/ML capabilities are now at the forefront of what’s possible in banking. (e.g., Capital One Eno). Risk Tech is responsible for transforming risk management into a real time, intelligent discipline powered by modern products and technical capabilities. Our mission is divided into two primary functional pillars: Risk Management Tech (RMT), which develops the frameworks and tools for monitoring risks, testing controls, and managing regulatory requirements; and AML and Compliance Tech (ACT), which ensures our products are delivered ethically and in strict compliance with BSA/AML regulations and global laws. Reinforcing these pillars are our commitment to Architecture & Engineering Excellence. Our Architecture team bridges the gap between business strategy and technical execution through a customer centric, domain oriented lens, while our Engineering Excellence team empowers our talent to build better, more resilient systems every day. Together, we ensure that Risk Tech isn't just a safeguard - it’s a competitive advantage. About the role - Senior Manager, Software Engineering As a Senior Manager (Software Engineering), you will Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains Be an inspirational leader, with a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs Go deep into our product and engineering solutions with the ability to learn quickly and have a strong engineering and technology background Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives Basic Qualifications Bachelor’s Degree in Computer Science or Engineering At least 12 years of professional software engineering experience (internship experience does not apply) At Least 4 years of people management experience At Least 2 years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc. At Least 1year of experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications Master’s Degree in Computer Science or Engineering 5+ years of experience in at least one of the following: Golang, Java, Python, React (TypeScript), Rust, C++ 5+ years of experience Big Data, Data Security, Governance and Controls 5+ years of people management experience 3+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of project management experience - roadmap planning, stakeholder management, delivery and timeline management etc. 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position. 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Software Development Engineer - Data Job Title: Senior Software Development Engineer - Data Location: Nottingham - Hybrid Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote. Our Mission We’re on a mission to be a force for good in lending. Throughout our almost 30-year history, we’ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK’s Best Workplaces™ list. Hear from our team about what it’s like working at Capital One UK. About the Role This role will play a crucial part in our goal to build and modernise the cloud-based data ecosystem to unlock the power of data, increase financial inclusion and deliver transformative experiences to our customers. The Data team own the services that form our Data Ecosystem, creating and maintaining API’s, backed by Java and Python microservices to manage and unleash the value of data across the full data lifecycle. From capturing data in real time, making sure it is accurate & easy to use, to enabling analysis for deep insight backed by the power of Cloud based data-stores & scalable machine learning, the Capital One Data team is leading the way. We are seeking a Software Development Engineer to join us on our mission, where you’ll use a number of different languages (such as Java, Python, React/Typescript), to build both front and backend solutions, solving complex problems as we continue to build our next generation data ecosystem, to help our customer s. What you’ll do You’ll work as part of a self-organised Software Engineering team to design and develop software features that are impactful for the lives of credit card consumers across all walks of life Your focus will be on a major portion of existing or new team software (e.g. significant component, set of features, mid-size application or service). You’ll work to achieve the goals and vision shared by Product Management and your Outcome Team Leadership. You will drive engineering best practices (e.g. Operational Excellence, Security, Quality, etc.) and set standards across your team and wider engineering teams. You will innovate within your team, initiative area and contribute within your technical domain. The skills and experience you need Experience performing as a Technical lead within a team, working with stakeholders to deliver great outcomes at pace, whilst influencing across wider Engineering teams, to encourage best practice and coaching of more junior engineers. Strong programming skills with a good working knowledge of modern OO languages/technologies such as Java, Python, .Net Demonstrable knowledge of creating architectural designs that meet the business need. Experienced in Cloud/AWS technologies You have experience of leading and delivering complex projects with precision Where and how you'll work This is a permanent position based in our Nottingham office. We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days. Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar. What’s in it for you We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to £5,000 in funding for external qualifications. In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career: Wealth & Future: Competitive pension and performance-based bonus schemes Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days. Health: Access premium care through our private medical insurance. Family Support: We champion your milestones with enhanced parental leave. A full list of our benefits is available here . What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture—one that values diverse perspectives, fosters collaboration and encourages innovative ideas—and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business. Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com 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 Director, Data Engineer As a Senior Director, Data Engineer at Capital One, you will lead high-performing engineering teams working to define the future of data platforms and banking in the cloud. You will partner closely with product managers, data scientists, architects and executive leaders to deliver scalable, data-driven solutions. Our Senior Directors are technical people leaders who drive data engineering strategy, guide complex architectural decisions and translate business goals into impactful data platforms. Senior Directors are expected to lead through technical vision, operational rigor and strategic alignment. You will serve as a key owner for your domain's technical health, delivery velocity and system resilience. While shaping long-term data strategy and platform roadmaps, you will inspire a culture of continuous learning, innovation and high-impact delivery across your organization. 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 — and to protect those customers with world-class security. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI, including in the defense of the enterprise itself. The Identity Analytics & Intelligence organization sits at that intersection. We build the data foundations, ML systems, and security products that decide - in real time - who and what can access Capital One's systems, and that detect and respond when something looks wrong. As identity moves from a human problem to a machine and agentic one, this organization is defining how a Fortune 100 bank secures workloads, non-human identities, and AI agents at scale. We are looking for a senior technology executive to lead this organization: someone who sets multi-year platform strategy and owns the architecture, who can partner with the CISO and C-suite in the morning and pressure-test a model design or a streaming pipeline in the afternoon. What You'll Do in the Role Own the enterprise strategy and multi-year roadmap for identity analytics, access decisioning, and AI/ML security platforms — aligning AI/ML investment with business, audit, and regulatory priorities, and partnering with C-suite and CISO-org stakeholders to fund next-generation capabilities. Lead and grow a 50+ person organization across Data Engineering, ML, Generative AI, and Security Products, including managers and senior individual contributors. Hire, develop, and retain top technical talent; set engineering standards and a high bar for well-managed delivery. Set technical direction hands-on. Review architectures, model designs, and system trade-offs. Stay close enough to the code and the data to make good calls under uncertainty and to earn credibility with the engineers you lead. Architect low-latency, event-driven systems for real-time identity decisioning and threat detection based on streaming telemetry, behavioral signals, and contextual graph data. Design, build, and maintain robust ML infrastructure and pipelines supporting end-to-end workflows: feature extraction, training, testing, guardrails, evaluation, deployment, and both real-time and batch inference — with high performance, scalability, and reliability. Drive the evolution of MLOps practices through automated, metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring and observability for models in production. Build the intelligence layer for agentic and non-human identity — combining behavioral analytics, ML-based intent determination, and context graphs to secure AI agents and workload identities. Apply state-of-the-art LLM and GenAI techniques in production for threat-intelligence summarization, automated incident triage, and adaptive access-policy recommendation — and introduce optimization techniques that improve scalability, cost, latency, and throughput of large-scale production AI systems. Operate an automated governance function with pipelines from enterprise and IGA platforms, operationalizing NIST controls with continuous control validation and audit-ready evidence. Lead enterprise readiness for emerging cyber risk posed by frontier AI models and agentic attack patterns. Basic Qualifications: Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 9 years of experience in data engineering At least 7 years of people management experience At least 7 years of experience programming with at least one of the following languages: Python, Java, or Scala At least 5 years of experience driving technical delivery of roadmap features At least 6 years of experience designing and developing data pipelines At least 4 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: Master’s Degree in Computer Science or a related field 12+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java 8+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) 8+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks 8+ years of experience designing, implementing, and operating real-time or streaming data pipelines 6+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) 8+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) 8+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) 6+ years of experience working in an Agile development environment 6+ years of experience developing user-centric reusable data products 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling 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: $314,800 - $359,300 for Sr. Director, Data Engineer New York, NY: $343,400 - $392,000 for Sr. Director, Data Engineer Plano, TX: $286,200 - $326,700 for Sr. Director, Data Engineer Richmond, VA: $286,200 - $326,700 for Sr. Director, Data 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 Director, Data Engineer As a Senior Director, Data Engineer at Capital One, you will lead high-performing engineering teams working to define the future of data platforms and banking in the cloud. You will partner closely with product managers, data scientists, architects and executive leaders to deliver scalable, data-driven solutions. Our Senior Directors are technical people leaders who drive data engineering strategy, guide complex architectural decisions and translate business goals into impactful data platforms. Senior Directors are expected to lead through technical vision, operational rigor and strategic alignment. You will serve as a key owner for your domain's technical health, delivery velocity and system resilience. While shaping long-term data strategy and platform roadmaps, you will inspire a culture of continuous learning, innovation and high-impact delivery across your organization. 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 — and to protect those customers with world-class security. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI, including in the defense of the enterprise itself. The Identity Analytics & Intelligence organization sits at that intersection. We build the data foundations, ML systems, and security products that decide - in real time - who and what can access Capital One's systems, and that detect and respond when something looks wrong. As identity moves from a human problem to a machine and agentic one, this organization is defining how a Fortune 100 bank secures workloads, non-human identities, and AI agents at scale. We are looking for a senior technology executive to lead this organization: someone who sets multi-year platform strategy and owns the architecture, who can partner with the CISO and C-suite in the morning and pressure-test a model design or a streaming pipeline in the afternoon. What You'll Do in the Role Own the enterprise strategy and multi-year roadmap for identity analytics, access decisioning, and AI/ML security platforms — aligning AI/ML investment with business, audit, and regulatory priorities, and partnering with C-suite and CISO-org stakeholders to fund next-generation capabilities. Lead and grow a 50+ person organization across Data Engineering, ML, Generative AI, and Security Products, including managers and senior individual contributors. Hire, develop, and retain top technical talent; set engineering standards and a high bar for well-managed delivery. Set technical direction hands-on. Review architectures, model designs, and system trade-offs. Stay close enough to the code and the data to make good calls under uncertainty and to earn credibility with the engineers you lead. Architect low-latency, event-driven systems for real-time identity decisioning and threat detection based on streaming telemetry, behavioral signals, and contextual graph data. Design, build, and maintain robust ML infrastructure and pipelines supporting end-to-end workflows: feature extraction, training, testing, guardrails, evaluation, deployment, and both real-time and batch inference — with high performance, scalability, and reliability. Drive the evolution of MLOps practices through automated, metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring and observability for models in production. Build the intelligence layer for agentic and non-human identity — combining behavioral analytics, ML-based intent determination, and context graphs to secure AI agents and workload identities. Apply state-of-the-art LLM and GenAI techniques in production for threat-intelligence summarization, automated incident triage, and adaptive access-policy recommendation — and introduce optimization techniques that improve scalability, cost, latency, and throughput of large-scale production AI systems. Operate an automated governance function with pipelines from enterprise and IGA platforms, operationalizing NIST controls with continuous control validation and audit-ready evidence. Lead enterprise readiness for emerging cyber risk posed by frontier AI models and agentic attack patterns. Basic Qualifications: Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 9 years of experience in data engineering At least 7 years of people management experience At least 7 years of experience programming with at least one of the following languages: Python, Java, or Scala At least 5 years of experience driving technical delivery of roadmap features At least 6 years of experience designing and developing data pipelines At least 4 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: Master’s Degree in Computer Science or a related field 12+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java 8+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) 8+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks 8+ years of experience designing, implementing, and operating real-time or streaming data pipelines 6+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) 8+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) 8+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) 6+ years of experience working in an Agile development environment 6+ years of experience developing user-centric reusable data products 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling 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: $314,800 - $359,300 for Sr. Director, Data Engineer New York, NY: $343,400 - $392,000 for Sr. Director, Data Engineer Plano, TX: $286,200 - $326,700 for Sr. Director, Data Engineer Richmond, VA: $286,200 - $326,700 for Sr. Director, Data 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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 Director, Data Engineer As a Senior Director, Data Engineer at Capital One, you will lead high-performing engineering teams working to define the future of data platforms and banking in the cloud. You will partner closely with product managers, data scientists, architects and executive leaders to deliver scalable, data-driven solutions. Our Senior Directors are technical people leaders who drive data engineering strategy, guide complex architectural decisions and translate business goals into impactful data platforms. Senior Directors are expected to lead through technical vision, operational rigor and strategic alignment. You will serve as a key owner for your domain's technical health, delivery velocity and system resilience. While shaping long-term data strategy and platform roadmaps, you will inspire a culture of continuous learning, innovation and high-impact delivery across your organization. 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 — and to protect those customers with world-class security. Our investments in technology infrastructure and world-class talent position us to be at the forefront of enterprises leveraging AI, including in the defense of the enterprise itself. The Identity Analytics & Intelligence organization sits at that intersection. We build the data foundations, ML systems, and security products that decide - in real time - who and what can access Capital One's systems, and that detect and respond when something looks wrong. As identity moves from a human problem to a machine and agentic one, this organization is defining how a Fortune 100 bank secures workloads, non-human identities, and AI agents at scale. We are looking for a senior technology executive to lead this organization: someone who sets multi-year platform strategy and owns the architecture, who can partner with the CISO and C-suite in the morning and pressure-test a model design or a streaming pipeline in the afternoon. What You'll Do in the Role Own the enterprise strategy and multi-year roadmap for identity analytics, access decisioning, and AI/ML security platforms — aligning AI/ML investment with business, audit, and regulatory priorities, and partnering with C-suite and CISO-org stakeholders to fund next-generation capabilities. Lead and grow a 50+ person organization across Data Engineering, ML, Generative AI, and Security Products, including managers and senior individual contributors. Hire, develop, and retain top technical talent; set engineering standards and a high bar for well-managed delivery. Set technical direction hands-on. Review architectures, model designs, and system trade-offs. Stay close enough to the code and the data to make good calls under uncertainty and to earn credibility with the engineers you lead. Architect low-latency, event-driven systems for real-time identity decisioning and threat detection based on streaming telemetry, behavioral signals, and contextual graph data. Design, build, and maintain robust ML infrastructure and pipelines supporting end-to-end workflows: feature extraction, training, testing, guardrails, evaluation, deployment, and both real-time and batch inference — with high performance, scalability, and reliability. Drive the evolution of MLOps practices through automated, metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring and observability for models in production. Build the intelligence layer for agentic and non-human identity — combining behavioral analytics, ML-based intent determination, and context graphs to secure AI agents and workload identities. Apply state-of-the-art LLM and GenAI techniques in production for threat-intelligence summarization, automated incident triage, and adaptive access-policy recommendation — and introduce optimization techniques that improve scalability, cost, latency, and throughput of large-scale production AI systems. Operate an automated governance function with pipelines from enterprise and IGA platforms, operationalizing NIST controls with continuous control validation and audit-ready evidence. Lead enterprise readiness for emerging cyber risk posed by frontier AI models and agentic attack patterns. Basic Qualifications: Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 9 years of experience in data engineering At least 7 years of people management experience At least 7 years of experience programming with at least one of the following languages: Python, Java, or Scala At least 5 years of experience driving technical delivery of roadmap features At least 6 years of experience designing and developing data pipelines At least 4 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: Master’s Degree in Computer Science or a related field 12+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala, or Java 8+ years of hands-on experience designing, deploying and operating data workloads in at least one public cloud environment (AWS, Microsoft Azure, or Google Cloud) 8+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks 8+ years of experience designing, implementing, and operating real-time or streaming data pipelines 6+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) 8+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) 8+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift) 6+ years of experience working in an Agile development environment 6+ years of experience developing user-centric reusable data products 5+ years of experience in Data Governance, Data Governance Platforms, Data Standardization, and Data Modeling 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: $314,800 - $359,300 for Sr. Director, Data Engineer New York, NY: $343,400 - $392,000 for Sr. Director, Data Engineer Plano, TX: $286,200 - $326,700 for Sr. Director, Data Engineer Richmond, VA: $286,200 - $326,700 for Sr. Director, Data 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).

Staff Software Engineer - Card Tech As a Staff Engineer at Capital One, you will be part of a community of technical experts working to define the future of banking in the cloud. You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Staff Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while delivering strong technology solutions. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring engineers and actively recruiting to keep building our community. Staff Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other materials to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization. About the Team: Card Tech is seeking a Staff Engineer to join our team and fundamentally redefine the speed and quality of software development. We are a high-velocity, mission-driven group obsessed with bridging the gap between Intent and Execution (I=E). In this role, you won't just manage; you will operate as a "Player-Coach," functioning both as a high-leverage developer who ships production-ready code in hours as well as mentoring a team to become elite AI-native builders. You will own the technical benchmark, leveraging agentic development tools to its absolute limits through rigorous, spec-driven design to solve complex problems with unprecedented urgency. This leader must have the ability to attract top-tier talent and the technical "whisperer" skills to ensure AI-generated output is flawless, secure, and scalable. Success requires an innovative mind, a proven track record of delivering next-generation products, and a passion for AI-native execution. You are a master of technical specifications who can translate complex architectures into simple, actionable reality. If you are a high-agency leader ready to define the 100x engineer era and make a massive, visible impact on our company trajectory, this is your team. What You’ll Do: Articulate and evangelize a bold technical vision for your domain Decompose complex problems into practical and operational solutions Ensure the quality of technical design and implementation Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability Continue learning and injecting advanced technical knowledge into our community Handle several projects simultaneously, balancing your time to maximize impact Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community Drive modernization of monolithic systems into microservice architectures and event-driven platforms Collaborate with senior engineering and architecture leaders to define long-term platform strategy and API standards Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers. Lead cross-divisional projects and impacts that promote technological best practices and enhancements Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 7 years of experience in all of the following: Software engineering and solution architecture Enterprise architecture and design patterns Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture Preferred Qualifications: Master’s Degree in Computer Science or Software Engineering 10+ years of experience in all of the following: Software engineering and solution architecture Enterprise architecture and design patterns Web technologies (JavaScript, TypeScript and SPA frameworks) Designing and building distributed HPC and ML systems Cloud computing (AWS, Microsoft Azure, Google Cloud) Data architecture 10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala 8+ years of experience with database and database management systems 10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support 5+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies 10+ years of experience with Networking protocols and integration with third party distributed systems 5+ years of experience mentoring senior engineers and driving professional development within technical teams 2+ years of experience leading cross-domain architectural reviews and establishing coding and design standards Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges 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. Chicago, IL: $244,700 - $279,200 for Staff Full-stack Engineer McLean, VA: $269,100 - $307,200 for Staff Full-stack Engineer New York, NY: $293,600 - $335,100 for Staff Full-stack Engineer Richmond, VA: $244,700 - $279,200 for Staff Full-stack Engineer San Francisco, CA: $293,600 - $335,100 for Staff Full-stack 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 4901-4920; 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 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com 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).