Full Stack Engineer 4 (Manager IC) - Operational Risk

Capital One•McLean, VA
•$179,400 - $225,100

About The Position

Capital One is seeking a Full Stack Software Engineer in Risk Tech to build and deploy proprietary risk-management solutions with the GRC team and partners across the company. The solutions use state-of-the-art AI technology and support regulatory needs and risk management. Risk Tech builds data-driven tools, including machine-learning solutions, to help prevent risks and detect issues before they affect customers, the business, or communities. The role leads a portfolio of technology projects and a team of developers working with distributed microservices and full-stack systems. It provides technical leadership across Agile teams, partners with architects and digital product managers, and contributes to cloud-based products. The role also promotes technical learning and mentorship, improves system performance and reduces technical debt, and influences long-term technology strategy in a “you build it, you own it” environment. The listed full-time annual salary ranges are $197,300–$225,100 in Cambridge, Massachusetts and McLean, Virginia, and $179,400–$204,700 in Richmond, Virginia. The role is also eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives. Capital One describes its benefits as comprehensive and competitive, with eligibility varying by employment status and management level. Capital One will not sponsor new applicants for employment authorization or provide immigration-related support for this position.

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 4 years of software engineering experience; internship experience does not count toward this requirement.
  • At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.

Nice To Haves

  • Master’s degree in Computer Science or a related field.
  • 7 or more years of coding experience with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, or Scala.
  • 3 or more years of experience with databases and database management systems.
  • 3 or more years of experience with AWS, GCP, Azure, cloud-based productivity tools, or virtualization technologies.
  • 4 or more years of experience contributing to open-source frameworks.
  • 3 or more years of experience with front-end JavaScript or TypeScript frameworks.
  • 4 or more years of experience creating synchronous and asynchronous APIs.
  • 3 or more years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
  • 3 or more years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
  • 3 or more years of experience troubleshooting technical issues within cloud environments.
  • Experience using modern AI-based coding tools and IDE copilots.
  • At least 1 year of experience mentoring engineers and driving professional development within technical teams.
  • At least 1 year of experience using observability to identify and optimize performance bottlenecks in distributed systems.
  • 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 establishing and enforcing coding standards and design patterns across teams.

Responsibilities

  • Lead a portfolio of technology projects and a team of developers working with distributed microservices and full-stack systems to create solutions that meet the company’s regulatory needs.
  • Stay current on 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 cloud-based solutions.
  • Use programming languages, open-source relational and NoSQL databases, container orchestration services, and AWS tools and services to build solutions.
  • Provide technical leadership and direction across Agile teams, establishing standards for design, development, and operational excellence.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Identify opportunities for improvement, implement targeted refactoring, and contribute to reducing technical debt and improving system performance.
  • Influence long-term technology strategy by evaluating emerging tools and practices in a “you build it, you own it” environment.

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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