Full-Stack Engineer 4 (Python, AWS, AI) (Cloud Operations Resilience Engineering)

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

About The Position

Capital One is seeking a Full-Stack Software Engineer for its Cloud Operations Resilience Engineering (CORE) Technology division, which enables and evolves foundational cloud infrastructure, including observability, connectivity, resilience, and availability. The position involves providing technical leadership across projects and cross-functional teams, building distributed microservices and full-stack systems, and delivering cloud-based solutions. The engineer will work with product managers and architects, establish engineering standards, improve system performance, and contribute to long-term technology strategy in a “you build it, you own it” environment. The role uses programming languages and technologies including Python, Go, Node.js, JavaScript, TypeScript, Docker, Kubernetes, and AWS. It is designated as hybrid, with required on-site presence according to Capital One’s hybrid policy. The role is eligible for performance-based incentive compensation. Annual salary ranges are $197,300–$225,100 in McLean, Virginia, and $179,400–$204,700 in Richmond, Virginia; other locations have location-specific ranges.

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.
  • 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 Python or Go.
  • 3 or more years of experience with front-end JavaScript or TypeScript frameworks.
  • 3 or more years of experience with AWS and public cloud platforms.
  • 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.
  • At least 1 year of experience using observability to identify and optimize performance bottlenecks in distributed systems.
  • Experience with modern AI-based coding tools such as Claude Code, Codex, or Cursor.
  • Experience with AI-native engineering beyond basic code completion, including context and harness engineering.
  • Experience designing and implementing modern AI-powered solutions, including OpenAI APIs, MCPs, Agent Protocols, and Orchestration.
  • At least 1 year of experience mentoring engineers and driving professional development within technical teams.
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives.
  • Experience establishing and enforcing coding standards and design patterns across teams.

Responsibilities

  • Provide technical leadership across diverse projects and cross-functional teams, delivering solutions in distributed microservices and full-stack systems to meet regulatory needs.
  • Use programming languages such as Python, Go, Node.js, JavaScript, and TypeScript; container orchestration services such as Docker and Kubernetes; and AWS tools and services.
  • Collaborate with digital product managers to deliver robust cloud-based solutions.
  • Partner with architects to define service boundaries, integration patterns, and reusable frameworks.
  • Establish engineering standards for design, development, and operational excellence across Agile teams.
  • Identify areas for improvement, implement targeted refactoring, and contribute to reducing technical debt and improving system performance.
  • Stay current with technology trends, experiment with and learn new technologies, participate in technology communities, and mentor members of the engineering community.
  • 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.
  • Eligibility for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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