Capital One
Full-stack Engineer 4 (Manager, IC)
$179K–$246K
New York, NY +3 · Manager · Full-time · Posted Oct 8, 2026
- Location
- New York, NY
McLean, VA
Cambridge, MA
Richmond, VA - Experience
- At least 4 years in software engineering and at least 2 years with cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 7+ years coding with more than two named languages and multiple additional experience thresholds.
- 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 offer immigration-related support for this position.
About the job
Leads engineering projects and developers building and operating cloud-based, AI-powered risk management systems 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 direction across Agile teams, set engineering standards, and partner with architects on service design and integration.
- Build cloud-based solutions, improve system performance, reduce technical debt, and mentor engineers.
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, interactive AI tooling, 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
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, AWS
AI focus
Build and deploy proprietary risk management solutions powered by AI; preferred experience includes using AI coding tools, IDE copilots, and interactive AI tooling to accelerate productivity.
Model-written summary · the original posting is authoritative