Drimva

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 in the stated cloud-related areas; preferred experience ranges from 1+ to 7+ years, depending on the skill.
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 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 direction, set engineering standards, and partner with architects on service boundaries and integration patterns.
  • Deliver cloud-based solutions, improve system performance, and influence technology strategy.

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 AI-based coding tools, mentoring engineers, observability, or leading cross-functional engineering efforts.

Pay

Cambridge, MA: $197,300 - $225,100 USD base salary; McLean, VA: $197,300 - $225,100 USD base salary; New York, NY: $215,200 - $245,600 USD base salary; Richmond, VA: $179,400 - $204,700 USD base salary

Tools

Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker

AI focus

Build and deploy AI-powered risk management solutions and use AI-based coding tools and interactive AI tooling to improve productivity.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)