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

Capital One • McLean, VA

1d • Hybrid

About The Position

Capital One is seeking a Full-Stack Engineer 4 for its Cloud Operations Resilience Engineering (CORE) Technology division. CORE enables and evolves the company’s foundational cloud infrastructure, including observability, connectivity, resilience, and availability. The engineer will provide technical leadership across projects and cross-functional teams, building distributed microservices and full-stack systems that meet regulatory needs and deliver cloud-based products. The position uses technologies including Python, Go, Node.js, JavaScript, TypeScript, Docker, Kubernetes, and AWS services. It is designated hybrid, with on-site presence required according to Capital One’s hybrid policy. The role is not eligible for new employment-authorization sponsorship or immigration-related support. The listed annual salary ranges are $197,300–$225,100 in McLean, Virginia, and $179,400–$204,700 in Richmond, Virginia. The role may also earn performance-based incentives, including cash bonuses and/or long-term incentives. Capital One offers health, financial, and other benefits; eligibility varies by employment status and management level.

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 apply.
• At least 2 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.
• 7+ years of coding experience with Python or Go.
• 3+ years of experience with front-end JavaScript or TypeScript frameworks.
• 3+ years of experience with AWS and public cloud platforms.
• 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks.
• 3+ years of experience using Git-based version-control systems such as Git, GitHub, or Bitbucket.
• 3+ years of experience troubleshooting technical issues in 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 AI-powered solutions using 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 including Python, Go, Node.js, JavaScript, and TypeScript; container orchestration services including 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 improvement opportunities, implement targeted refactoring, reduce technical debt, and enhance system performance.
• Keep 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 health, financial, and other benefits supporting total well-being; eligibility varies based on full- or part-time status, exempt or non-exempt status, and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior