Full-stack Engineer 5 (Senior Manager, IC)

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

About The Position

Capital One is seeking a Full-stack Software Engineer for Risk Tech to build and deploy proprietary risk-management solutions powered by AI. Risk Tech develops data-driven tools, including machine-learning capabilities, to help prevent risks and detect issues before they affect customers, the business, or communities. The role works with the GRC team and partners across the company to develop products that support risk management and deliver customer value. The position leads a portfolio of technology projects and developers, provides technical leadership across teams, and shapes system architecture and long-term technology direction. It also drives the end-to-end design and implementation of large-scale distributed and cloud-native systems, and partners with architects and product leaders on platform roadmaps and shared-services strategy. The engineer collaborates with digital product managers and works with technologies including programming languages, databases, container orchestration, and AWS services.

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 in 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 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.

Responsibilities

  • Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems to create solutions that meet regulatory needs.
  • Keep current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor members of the engineering community.
  • Collaborate with digital product managers to deliver robust cloud-based solutions.
  • Use programming languages such as Java, Scala, Python, Go, Node.js, JavaScript, and TypeScript; open-source RDBMS and NoSQL databases; Docker and Kubernetes; and AWS tools and services.
  • 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

  • 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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