Capital One
Full-stack Engineer 4 (Manager, IC)-Risk Tech
$179K–$246K
New York, NY · Manager · Full-time · Posted Sep 24, 2026
- 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; 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 is preferred.
- Visa sponsorship
- Will not sponsor new applicants for employment authorization or provide immigration-related support.
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.
- Set technical standards and direction, mentor engineers, and guide architecture and technology strategy.
- Deliver and improve cloud-based solutions, including refactoring to reduce technical debt and improve performance.
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
- Master’s degree in Computer Science or a related field.
- Experience with AI coding tools, cloud technologies, databases, APIs, CI/CD, front-end frameworks, or technical leadership.
Pay
USD $197,300 - $225,100 base salary (McLean, VA); USD $215,200 - $245,600 base salary (New York, NY); USD $179,400 - $204,700 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; the team also uses machine learning for risk prevention and issue detection.
Model-written summary · the original posting is authoritative