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 at least 2 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred: 7+ years coding with more than two listed 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
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Leads engineering teams building and deploying AI-powered risk management solutions, including cloud-based full-stack systems and services that meet regulatory needs.
What you'll do
- Lead technology projects and developers building distributed microservices and full-stack systems for regulatory needs.
- Provide technical leadership, set engineering standards, and partner with architects on service boundaries, integrations, and reusable frameworks.
- Build and deploy cloud-based solutions; improve system performance and guide technology strategy.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 4 years of experience in software engineering; 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, or leveraging Spec-Driven Development (SDD).
Pay
Cambridge, MA: $197,300 - $225,100 USD base salary; McLean, VA: $197,300 - $225,100 USD base salary; New York, NY: $215,200 - $245,600 USD base salary; Richmond, VA: $179,400 - $204,700 USD base salary
Tools
NodeJs, TypeScript, Angular, Java, SQL, Python, Kafka, AWS Fargate
AI focus
Build and deploy proprietary risk management solutions powered by state-of-the-art AI; the broader Risk Tech work also uses machine learning to prevent risks and automatically detect issues.
Model-written summary · the original posting is authoritative