Drimva

Capital One

Full-stack Engineer 4 (AWS, Java & Python) (Enterprise Platforms Technology)

$197K–$225K

McLean, VA · Full-time · Posted Sep 29, 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 several stated alternatives and durations, ranging from 1+ to 7+ years.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field; a Master's Degree in Computer Science or a related field is preferred.
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, full-stack and microservices solutions for enterprise platforms and regulatory needs.

What you'll do

  • Lead technology projects and developers delivering distributed microservices and full-stack systems.
  • Provide technical direction across Agile teams and partner with architects on service boundaries, integration patterns, and reusable frameworks.
  • Build and improve cloud-based solutions, including refactoring systems and reducing technical debt.

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

  • Experience with modern AI-based coding tools and IDE copilots, or interactive AI tooling beyond basic code completion.
  • Experience leading cross-functional engineering efforts or large-scale technical initiatives.

Pay

USD $197,300 - $225,100 base salary (McLean, VA)

Tools

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

AI focus

Preferred experience leveraging 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)