Drimva

Capital One

Full-stack Engineer 4

$179K–$205K

Plano, TX · Full-time · Posted Oct 24, 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 alternatives include 7+ years coding with more than two listed languages; other preferred experience ranges from 1+ to 4+ years.
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 to build cloud-based, distributed systems and responsible AI use cases for Capital One’s Financial Services division.

What you'll do

  • Lead technology projects and developers delivering solutions for regulatory needs and customer experiences.
  • Set engineering standards and provide technical direction across Agile teams; partner with architects on service boundaries and reusable frameworks.
  • Improve system performance and reduce technical debt through refactoring, technology evaluation, and operational ownership.

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 IDE copilots, interactive AI tooling, or leading cross-functional engineering efforts.

Pay

$179,400 - $204,700 USD base salary

Tools

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

AI focus

Deliver responsible GenAI use cases and use AI-based coding tools and interactive AI tooling to accelerate engineering productivity.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)