Capital One
Full-stack Engineer 5 (Senior Manager, IC)
$209K–$286K
McLean, VA +2 · Manager · Full-time · Posted Oct 9, 2026
- Location
- McLean, VA
New York, NY
Richmond, VA - Experience
- At least 6 years of software engineering experience and at least 3 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 9+ years coding with more than two specified languages; additional role-specific experience thresholds are listed in the posting.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; a Master’s Degree in Computer Science or a related field is preferred.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads engineering teams and delivers AI-powered risk management systems, shaping architecture and cloud-based platforms that meet regulatory needs.
What you'll do
- Lead technology projects and developers building distributed microservices and full-stack solutions for regulatory needs.
- Drive architecture and end-to-end implementation of reliable, high-performance distributed and cloud-native systems.
- Partner with product leaders and architects on platform roadmaps, shared services, and technical direction; mentor engineers.
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 and IDE copilots, interactive AI tooling, or leading cross-functional engineering initiatives.
Pay
$229,900 - $262,400 USD base salary (McLean, VA); $250,800 - $286,200 USD base salary (New York, NY); $209,000 - $238,500 USD base salary (Richmond, VA)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Build and deploy proprietary AI-powered risk management solutions; preferred experience includes using AI-based coding tools, IDE copilots, and interactive AI tooling to accelerate productivity.
Model-written summary · the original posting is authoritative