About The Position

Capital One is seeking a senior full-stack software engineer for its Risk Tech GRC team. Risk Tech builds data-driven tools, including machine-learning solutions, to prevent risks and detect issues before they affect customers, the business, or communities. In this role, the engineer will help build and deploy proprietary risk-management solutions powered by AI and contribute to a major technology transformation.

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 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 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.

Responsibilities

  • Lead a portfolio of technology projects and a team of developers working on distributed microservices and full-stack systems that address regulatory needs.
  • Keep current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor other engineers.
  • Collaborate with digital product managers to deliver cloud-based solutions.
  • 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.
  • Lead the 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; eligibility varies by employment status and management level.
  • Eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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