Capital One
Staff Full-stack Engineer
$245K–$335K
McLean, VA +2 · Staff · Full-time · Posted Sep 24, 2026
- Location
- McLean, VA
New York, NY
Richmond, VA - Experience
- At least 7 years in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and data architecture. Preferred experience includes 10+ years in several listed areas, 8+ years in databases and public cloud, 5+ years mentoring senior engineers, and 2+ years leading cross-domain architectural reviews.
- Education
- Bachelor’s Degree In Computer Science or a related field; preferred Master’s Degree in Computer Science or Software Engineering.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads technical architecture and hands-on engineering for customer resiliency decisioning systems, modernizing platforms and guiding engineering practices across teams.
What you'll do
- Set technical direction, decompose complex problems, and ensure quality of design and implementation.
- Modernize monolithic systems into microservices and event-driven platforms; help define platform strategy and API standards.
- Mentor engineers, lead cross-divisional initiatives, and share technical knowledge through written materials and code samples.
What they ask for
- Bachelor’s Degree In Computer Science or a related field
- At least 7 years of experience in software engineering and solution architecture
- At least 7 years of experience in enterprise architecture and design patterns
- At least 7 years of experience in cloud computing (AWS, Microsoft Azure, Google Cloud) and data architecture
Nice to have
- Master’s Degree in Computer Science or Software Engineering
- Expertise in applying agentic AI coding tools and working knowledge of AI/ML concepts
Pay
$269,100 - $307,200 USD base salary (McLean, VA); $293,600 - $335,100 USD base salary (New York, NY); $244,700 - $279,200 USD base salary (Richmond, VA)
Tools
AWS, Microsoft Azure, Google Cloud, Javascript, TypeScript, Go, Java, Python
AI focus
Preferred: strategically apply agentic AI coding tools and use AI/ML tools to accelerate delivery, improve decision-making, or gain efficiency.
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