Drimva

Capital One

Full-Stack Engineer 5

$209K–$238K

Richmond, VA · Full-time · Posted Oct 5, 2026

Experience
At least 6 years in software engineering and at least 3 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 9+ years coding with more than two listed languages and other experience thresholds from 1 to 5+ years.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
Visa sponsorship
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Leads engineering teams in designing and delivering large-scale, cloud-native full-stack systems and platform capabilities that meet regulatory needs and support customer experiences.

What you'll do

  • Lead technology projects and developers; provide technical leadership across teams and shape architecture and long-term technology direction.
  • Design and implement reliable, high-performance distributed systems and partner with architects and product leaders on platform roadmaps.
  • Mentor engineers, keep current with technology trends, and collaborate with product managers to deliver cloud-based solutions.

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; internship experience does not apply.
  • 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 modern AI-based coding tools and IDE copilots, and interactive AI tooling beyond basic code completion.

Pay

$209,000 - $238,500 USD base salary

Tools

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

AI focus

Use modern 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 4, 2026 (UTC)