Full Stack Engineer 5

Capital One•McLean, VA
•$229,900 - $262,400

About The Position

Capital One is seeking a Full Stack Engineer to help drive a major technology transformation. The role focuses on building cloud-based solutions and distributed microservices and full-stack systems that address regulatory needs and deliver customer experiences. The engineer will provide technical leadership across teams, shape system architecture and long-term technology direction, and partner with architects and product leaders on platform roadmaps and shared-services strategy. The role involves using programming languages and technologies such as Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, open-source relational and NoSQL databases, Docker, Kubernetes, and AWS services. The engineer is also expected to stay current with technology trends, experiment with new technologies, contribute to technology communities, and mentor members of the engineering community.

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, Azure), cloud-based productivity tools, or virtualization technologies.

Nice To Haves

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

Responsibilities

  • Lead a portfolio of technology projects and a team of developers experienced in distributed microservices and full-stack systems to create solutions that meet regulatory needs.
  • Stay current with technology trends, experiment with and learn new technologies, participate in internal and external technology communities, and mentor engineering community members.
  • Collaborate with digital product managers to deliver robust cloud-based solutions and customer experiences.
  • Use programming languages, databases, container orchestration services, and AWS tools and services to build solutions.
  • Provide technical leadership across multiple teams and shape 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

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