Drimva

Capital One

Full- stack Engineer 5 - Capital One Shopping Tech (Categories Team) (Remote - Eligible)

$209K–$262K

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

Location
McLean, VA
US Remote
Experience
At least 6 years in software engineering (internships do not apply) and at least 3 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes a range of additional thresholds from 1 to 9+ years.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field; Master’s Degree preferred.
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Build and launch new consumer products for Capital One Shopping’s Categories team, with ownership of scalable backend services and collaboration on product strategy.

What you'll do

  • Own greenfield product development from inception through deployment, including scalable distributed microservices.
  • Partner with product managers to shape technical strategy and turn consumer needs into features.
  • Contribute hands-on to architecture and code, and mentor engineers.

What they ask for

  • Bachelor's degree or higher in Computer Science or a related quantitative field.
  • At least 6 years of software engineering experience; internships do not count.
  • At least 3 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 and IDE copilots, interactive AI tooling, and the additional listed engineering practices and technologies.

Pay

$209,000 - $238,500 USD base salary (Remote, regardless of location); $229,900 - $262,400 USD base salary (McLean, VA)

Tools

JavaScript, TypeScript, SQL, Python, Go, AWS, Docker, Kubernetes

AI focus

Preferred experience 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)