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 experience includes 7+ years coding with more than two listed languages and other technology-specific experience.
- 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 provide immigration-related support.
About the job
Leads engineering teams building and operating cloud-based risk management solutions, including AI-powered products that support regulatory needs and detect risks.
What you'll do
- Lead technology projects and developers building distributed microservices and full-stack solutions for regulatory needs.
- Provide technical direction, define service boundaries and integration patterns, and improve system performance and operational excellence.
- Build and deploy cloud-based risk management products in collaboration with product managers, architects, and company partners.
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 and Spec-Driven Development (SDD).
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 broader Risk Tech products use machine learning to prevent risks and automatically detect issues. Interactive AI tooling is also preferred for productivity.
Model-written summary · the original posting is authoritative