Drimva

Capital One

Full Stack Engineer 4 (Global Payment Network)

$179K–$225K

Riverwoods, IL +1 · Full-time · Posted Oct 8, 2026

Location
Riverwoods, IL
McLean, VA
Experience
At least 4 years in software engineering and at least 2 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience ranges from 1+ to 7+ years, depending on the skill area.
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 offer immigration-related support for this position.

About the job

Leads engineering for partner-facing stored payment token APIs, building and operating cloud-based full-stack and microservices solutions.

What you'll do

  • Lead technology projects and developers delivering solutions for regulatory needs.
  • Provide technical direction across Agile teams and partner with architects on service boundaries and reusable frameworks.
  • Improve system performance and reduce technical debt through refactoring and evaluation of emerging tools.

What they ask for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 4 years of experience in software engineering; 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, IDE copilots, or interactive AI tooling beyond basic code completion.
  • Experience leading engineering initiatives, mentoring engineers, and improving distributed-system performance through observability.

Pay

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

Tools

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

AI focus

Preferred experience using AI-based coding tools, IDE copilots, and interactive AI tooling to accelerate productivity.

Model-written summary · the original posting is authoritative

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