Capital One
Director, Full Stack Engineer
$245K–$307K
McLean, VA +3 · Director · Full-time · Posted Sep 22, 2026
- Location
- McLean, VA
Richmond, VA
Plano, TX
Riverwoods, IL - Experience
- At least 5 years of people management; at least 7 years in each of the listed technical areas. Preferred experience includes several 10+ year requirements, 8+ years with databases, and other 5+ and 2+ year qualifications.
- 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 engineering teams and technical strategy to build, modernize, and operate scalable cloud-based banking platforms.
What you'll do
- Lead and develop multiple product-focused engineering teams, including mentoring and talent planning.
- Set technical strategy and guide architecture, including migrating monoliths to microservices and deploying applications to AWS.
- Partner with product and business leaders to deliver resilient, scalable solutions and improve engineering practices and delivery velocity.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 5 years of people management experience.
- 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 (McLean, VA); $244,700 - $279,200 USD base salary (Plano, TX); $244,700 - $279,200 USD base salary (Richmond, VA); $244,700 - $279,200 USD base salary (Riverwoods, IL)
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Python, Rust
AI focus
Preferred expertise applying agentic AI coding tools to systemic development challenges; preferred experience designing and building distributed HPC and ML systems.
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