Capital One
Staff Full-Stack Engineer (Director-IC)
$245K–$307K
McLean, VA +2 · Staff · Full-time · Posted Oct 21, 2026
- Location
- McLean, VA
Cambridge, MA
Richmond, VA - Experience
- At least 7 years in the listed areas; preferred qualifications include several stated thresholds, including 10+ years in multiple areas, 8+ years in databases and cloud platforms, 5+ years mentoring senior engineers, and 2+ years leading architectural reviews.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative 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 hands-on engineering and architecture work to modernize banking platforms, set technical direction, and mentor engineers across teams.
What you'll do
- Define technical vision and ensure the quality of system design and implementation, including performance, scalability, and operability.
- Modernize monolithic systems into microservices and event-driven platforms; shape platform strategy and API standards.
- Lead cross-divisional initiatives while contributing technically, mentoring engineers, and sharing expertise.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 7 years of experience in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and data architecture.
Nice to have
- Master’s Degree in Computer Science or Software Engineering.
- Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.
Pay
$269,100 - $307,200 USD base salary (Cambridge, MA); $269,100 - $307,200 USD base salary (McLean, VA); $244,700 - $279,200 USD base salary (Richmond, VA)
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Python, Rust
AI focus
Preferred expertise in applying agentic AI coding tools to systemic development challenges; designing and building distributed ML systems is also listed as preferred experience.
Model-written summary · the original posting is authoritative