Capital One
Full-stack Engineer 4 (Manager, IC)
$197K–$246K
McLean, VA +1 · Manager · Full-time · Posted Sep 30, 2026
- Location
- McLean, 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 ranges from 1+ to 7+ years across coding, databases, cloud, open source, APIs, CI/CD, version control, troubleshooting, mentoring, observability, and technical leadership.
- 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
Lead 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, set engineering standards, mentor engineers, and guide technology strategy.
- Collaborate with product managers and architects to deliver cloud solutions and define service boundaries, integrations, and reusable frameworks.
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-based coding tools and IDE copilots or interactive AI tooling beyond basic code completion.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $215,200 - $245,600 USD base salary (New York, NY)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, AWS
AI focus
Build and deploy risk management solutions powered by AI; preferred experience includes AI coding tools, IDE copilots, and interactive AI tooling to improve productivity.
Model-written summary · the original posting is authoritative