Staff Software Engineer - Card Tech

Staff Software Engineer - Card TechAs 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 domainDecompose complex problems into practical and operational solutionsEnsure the quality of technical design and implementationServe as an authoritative expert on non-functional system characteristics, such as performance, scalability and operabilityContinue learning and injecting advanced technical knowledge into our communityHandle several projects simultaneously, balancing your time to maximize impactAct 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 communityDrive modernization of monolithic systems into microservice architectures and event-driven platformsCollaborate with senior engineering and architecture leaders to define long-term platform strategy and API standardsServe 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 enhancementsBasic 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 architectureEnterprise architecture and design patternsCloud computing (AWS, Microsoft Azure, Google Cloud)Data architecturePreferred Qualifications:Master's Degree in Computer Science or Software Engineering10+ years of experience in all of the following:Software engineering and solution architectureEnterprise architecture and design patternsWeb technologies (JavaScript, TypeScript and SPA frameworks)Designing and building distributed HPC and ML systemsCloud computing (AWS, Microsoft Azure, Google Cloud)Data architecture10+ years of professional experience coding in commonly used languages like Go, Java, JavaScript/Typescript, Python, Rust, C#, Scala8+ years of experience with database and database management systems10+ years of professional experience in the full lifecycle of system development, from conception through architecture, implementation, testing, deployment and production support5+ years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies10+ years of experience with Networking protocols and integration with third party distributed systems5+ years of experience mentoring senior engineers and driving professional development within technical teams2+ years of experience leading cross-domain architectural reviews and establishing coding and design standardsExpertise in the strategic application of agentic AI coding tools to solve systemic development challenges