Capital One

Full-Stack Engineer 5 (Python, AWS, AI) (Cloud Operations Resilience Engineering)

$209K–$262K

McLean, VA +1 · Full-time · Posted Oct 16, 2026

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Location: McLean, VA
Richmond, VA
Experience: At least 6 years in software engineering and at least 3 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 9+ years with Python or Go, among other alternatives and specialties.
Education: Bachelor's Degree or higher in Computer Science or a related quantitative field; Master’s Degree in Computer Science or a related field preferred.
Visa sponsorship: Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Leads the design and delivery of reliable, cloud-native, full-stack systems and shared infrastructure for Capital One’s cloud operations resilience engineering organization.

What you'll do

Provide technical leadership and set engineering standards across teams and complex projects.
Design and implement large-scale distributed systems, partnering on platform roadmaps and shared services.
Improve system reliability and performance through refactoring, operational excellence, mentoring, and technology evaluation.

What they ask for

Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 6 years of software engineering experience; internship experience does not apply.
At least 3 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.

Nice to have

Master’s Degree in Computer Science or a related field.
Experience with AI-based coding tools, AI-native engineering, or modern AI-powered solutions.

Pay

$229,900 - $262,400 USD base salary (McLean, VA); $209,000 - $238,500 USD base salary (Richmond, VA)

Tools

Python, Go, Node.js, JavaScript, TypeScript, Docker, Kubernetes, AWS

AI focus

Experience with AI coding tools and AI-native engineering; preferred experience designing and implementing AI-powered solutions using OpenAI APIs, MCPs, Agent Protocols and Orchestration.

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