Senior Manager, Full-stack Engineer - Finance Tech, AI Powered Platforms

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.

• 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, and from time to time, be asked to code or evaluate code
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Lead teams utilizing programming languages like Java, Scala, Python, Go, Node.js, JavaScript and Type Script, Open Source RDBMS and No
  
  SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
• Lead multiple Agile engineering teams or programs, providing strategic direction and ensuring delivery of large-scale, cross-functional initiatives
• Partner with product, architecture, and platform leaders to define multi-year technology roadmaps and investment priorities
• Develop and manage Lead Engineers and leads, building succession plans and scaling leadership capability across teams
• Drive alignment between engineering execution and enterprise goals, influencing portfolio-level decisions and trade-offs
• Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements

• 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 technologies
• At least 3 years of people management experience

• Master’s Degree in Computer Science or a related field
• 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies
• 4+ years of experience with database and database management systems
• 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies
• 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks
• 4+ years of experience using Git-based version-control systems (e.g., Git, Git Hub, Bitbucket)
• 4+ years of experience troubleshooting technical issues within cloud environments
• 5+ years of experience contributing to open source frameworks
• 5+ years of experience with front-end JavaScript or Type Script frameworks
• 5+ years of experience creating synchronous and asynchronous APIs
• 9+ years of experience coding with more than two of the following:
  Go, Java, JavaScript/Type Script, Python, Rust, C#, Scala
• Experience leveraging modern AI-based coding tools and IDE copilots
• Experience managing multi-team engineering organizations or leading strategic technical programs spanning multiple domains
• Experience defining and tracking engineering OKRs that align to business outcomes
• Experience shaping organization design and talent…