Capital One
Full-stack Engineer 4 (Manager, IC)
$179K–$225K
Richmond, VA +2 · Manager · Full-time · Posted Sep 19, 2026
- Location
- Richmond, VA
McLean, VA
Cambridge, MA - Experience
- At least 4 years in software engineering and at least 2 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 7+ years coding in more than two specified languages; other preferred experience ranges from 1+ to 4+ years.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred Master’s Degree in Computer Science or a related field.
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Leads engineering teams and builds cloud-based, AI-powered risk-management solutions that meet regulatory needs using distributed microservices and full-stack systems.
What you'll do
- Lead technology projects and developers, setting technical standards and providing direction across Agile teams.
- Design, build, and deploy cloud-based solutions; partner with product managers and architects on service boundaries, integrations, and reusable frameworks.
- Improve system performance and reduce technical debt while evaluating emerging tools and practices.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of software engineering experience; internship experience does not apply.
- At least 2 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 modern AI coding tools and IDE copilots, mentoring engineers, observability, or leading cross-functional engineering initiatives.
Pay
$197,300 - $225,100 USD base salary (Cambridge, MA); $197,300 - $225,100 USD base salary (McLean, VA); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Build and deploy proprietary risk-management solutions powered by AI; preferred experience includes modern AI-based coding tools, IDE copilots, and interactive AI tooling beyond basic code completion.
Model-written summary · the original posting is authoritative