Capital One
Full-Stack Engineer 4 (Risk Tech)
$179K–$246K
McLean, VA +3 · Full-time · Posted Oct 8, 2026
- Location
- McLean, VA
Cambridge, MA
Richmond, VA
New York, NY - Experience
- At least 4 years in software engineering and 2 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 7+ years coding with more than two listed languages and several additional experience thresholds.
- 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 not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Lead engineering teams and build cloud-based, AI-powered risk management solutions that meet regulatory needs and improve customer experiences.
What you'll do
- Lead technology projects and developers building distributed microservices and full-stack systems for regulatory needs.
- Set technical direction and standards; partner with product managers and architects on cloud solutions, service boundaries, and reusable frameworks.
- Improve systems through refactoring, technical-debt reduction, performance work, and evaluation of emerging technologies.
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 interactive AI tooling beyond basic code completion, Spec-Driven Development, or leading cross-functional engineering efforts.
Pay
$197,300 - $225,100 USD base salary (Cambridge, MA); $197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
NodeJs, TypeScript, Angular, HTML/CSS, Java, SQL, Python, Kafka
AI focus
Build and deploy proprietary risk-management solutions powered by AI; the team also builds machine-learning tools to prevent risks and automatically detect issues. Interactive AI tooling beyond basic code completion is preferred.
Model-written summary · the original posting is authoritative