Full-stack Engineer 5 (Senior Manager, IC)-EDT

Full-Stack Engineer 5 (Senior 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.Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle. This foundation is built on key platforms that manage Capital One's Data Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One's data platforms.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 companyShare 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 communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentUtilize 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 servicesProvide technical leadership across multiple teams, shaping system architecture and long-term technology directionDrive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirementsPartner with architects and product leaders to define platform roadmaps and shared services strategyBasic Qualifications:Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)At least 6 years of experience in software engineering (Internship experience does not apply)At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologiesPreferred Qualifications:Master's Degree in Computer Science or a related field9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala5+ years of experience contributing to open source frameworks5+ years of experience with front-end JavaScript or TypeScript frameworks5+ years of experience creating synchronous and asynchronous APIs4+ years of experience with database and database management systems4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket)4+ years of experience troubleshooting technical issues within cloud environments3+ years of experience mentoring senior engineers and driving professional development within technical teams2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies1+ year of experience establishing and enforcing coding standards and design patterns across teams1+ year of experience implementing observability and reliability practices at scaleExperience leveraging modern AI-based coding tools and IDE copilotsExperience influencing technology strategy at the portfolio or business unit levelExperience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completionExperience leading cross-functional engineering efforts or large-scale technical initiatives