About The Position

Capital One’s Enterprise Data Tech (EDT) team manages data technology, platforms, and experiences across the company. Its mission is to make data easy to find, use, understand, govern, and protect throughout the data lifecycle. The team’s foundation includes platforms managing the Capital One data pipeline, including data storage and access, and its priorities include evolving capabilities for AI and strategically expanding data platforms. The Full-stack Engineer 5 will lead a portfolio of technology projects and a team of developers, provide technical leadership across teams, and shape system architecture and long-term technology direction. The role drives end-to-end design and implementation of large-scale distributed or cloud-native systems, partners with architects and product leaders on platform roadmaps and shared-services strategy, and collaborates with digital product managers to deliver cloud-based solutions. The engineer will also help meet regulatory needs, stay current with technology trends, experiment with new technologies, participate in technology communities, and mentor engineering colleagues. The role uses programming languages including Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript; open-source relational and NoSQL databases; Docker and Kubernetes; and AWS tools and services. The position is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One will consider sponsoring a new qualified applicant for employment authorization.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related quantitative field, such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
  • At least 6 years of software engineering experience; internship experience does not apply.
  • At least 3 years of experience with public cloud platforms (AWS, GCP, or Azure), cloud-based productivity tools, or virtualization technologies.

Nice To Haves

  • Master’s degree in Computer Science or a related field.
  • 9 or more years of coding experience with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
  • 5 or more years of experience contributing to open-source frameworks.
  • 5 or more years of experience with front-end JavaScript or TypeScript frameworks.
  • 5 or more years of experience creating synchronous and asynchronous APIs.
  • 4 or more years of experience with databases and database management systems.
  • 4 or more years of experience with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies.
  • 4 or more years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
  • 4 or more years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
  • 4 or more years of experience troubleshooting technical issues within cloud environments.
  • 3 or more years of experience mentoring senior engineers and driving professional development within technical teams.
  • 2 or more years of experience using observability to identify and optimize performance bottlenecks in distributed systems.
  • 1 or more years of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies.
  • 1 or more years of experience establishing and enforcing coding standards and design patterns across teams.
  • 1 or more years of experience implementing observability and reliability practices at scale.
  • Experience leveraging modern AI-based coding tools and IDE copilots.
  • Experience with interactive AI tooling to accelerate productivity beyond basic code completion.
  • Experience influencing technology strategy at the portfolio or business-unit level.
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers with experience in distributed microservices and full-stack systems, creating solutions that help meet company regulatory needs.
  • Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering colleagues.
  • Collaborate with digital product managers to deliver robust cloud-based solutions.
  • Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction.
  • Drive end-to-end design and implementation of large-scale distributed or cloud-native systems with high reliability and performance requirements.
  • Partner with architects and product leaders to define platform roadmaps and shared-services strategy.

Benefits

  • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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