Drimva

Capital One

Full Stack Engineer 5

$230K–$262K

McLean, VA · Full-time · Posted Oct 28, 2026

Experience
At least 6 years in software engineering and at least 3 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes requirements ranging from 1+ to 9+ years across listed areas.
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 consider sponsoring a new qualified applicant for employment authorization for this position.

About the job

Leads engineering teams and delivers large-scale, cloud-native full-stack systems, platform strategy, and solutions supporting regulatory needs and customer experiences.

What you'll do

  • Lead technology projects and developers; shape system architecture, platform roadmaps, and long-term technology direction.
  • Design and implement reliable, high-performance distributed and cloud-native systems, collaborating with product managers and architects.
  • Mentor engineers, promote technology learning, and drive cross-team engineering initiatives.

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; internships do 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, interactive AI tooling, and/or developing ML solutions and data pipelines.

Pay

$229,900 - $262,400 USD base salary (McLean, VA)

Tools

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

AI focus

Experience with AI coding tools, IDE copilots, and interactive AI tooling is preferred; the posting also lists preferred experience developing ML solutions and scaling data pipelines for ML models.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 4, 2026 (UTC)