Drimva

Capital One

Full-stack Engineer 4 (Python, Typescript)

$215K–$246K

New York, NY · Full-time · Posted Oct 27, 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 7+ years coding in more than two listed languages and several other role-specific experience thresholds.
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 provide immigration-related support.

About the job

Leads engineering teams in building and operating cloud-based full-stack systems and microservices that meet regulatory needs and deliver customer-facing financial products.

What you'll do

  • Lead technology projects and developers; provide technical direction and set design, development, and operational standards.
  • Collaborate with product managers and architects to deliver cloud solutions and define service boundaries, integrations, and reusable frameworks.
  • Improve system performance and reduce technical debt through refactoring, technical strategy, 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, or interactive AI tooling beyond basic code completion.

Pay

$215,200 - $245,600 USD base salary

Tools

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

AI focus

Preferred experience using 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)