Drimva

Capital One

Full-stack Engineer 4 (Bank Tech)

$179K–$225K

Richmond, VA +1 · Full-time · Posted Oct 14, 2026

Location
Richmond, VA
McLean, VA
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 several areas; alternatives are listed in the posting.
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

Leads full-stack engineering projects and teams, building cloud-based microservices and systems that meet regulatory needs and deliver customer experiences.

What you'll do

  • Lead technology projects and developers, setting engineering standards and providing technical direction.
  • Collaborate with product managers and architects to design and deliver cloud-based services and integrations.
  • Improve system performance and reduce technical debt through refactoring and evaluation of emerging technologies.

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 interactive AI tooling beyond basic code completion.

Pay

USD $197,300 - $225,100 base salary (McLean, VA); USD $179,400 - $204,700 base salary (Richmond, VA)

Tools

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

AI focus

Preferred experience includes using AI-based coding tools, IDE copilots, and interactive AI tooling beyond basic code completion to accelerate productivity.

Model-written summary · the original posting is authoritative

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