Capital One
Full Stack Engineer 4 (Manager IC) - Operational Risk
$179K–$225K
Richmond, VA +2 · Manager · Full-time · Posted Oct 23, 2026
- Location
- Richmond, VA
McLean, VA
Cambridge, MA - 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 in 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; a master's degree in Computer Science or a related field is preferred.
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Leads engineering projects and developers building cloud-based, AI-powered risk management solutions 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 across Agile teams, set engineering standards, and guide architecture and service integration.
- Build and deploy cloud-based solutions while improving system performance and reducing technical debt.
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; internships do not count.
- At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
Nice to have
- Experience with modern AI-based coding tools and IDE copilots, interactive AI tooling, or AI capabilities beyond basic code completion.
- Experience mentoring engineers, leading cross-functional initiatives, or establishing coding standards across teams.
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 risk management solutions powered by AI; the posting also prefers experience with AI coding tools, IDE copilots, and interactive AI tooling.
Model-written summary · the original posting is authoritative