Capital One
Full-stack Engineer 5 - Shopping (Remote-Eligible)
$209K–$262K
McLean, VA +1 · Full-time · Posted Sep 21, 2026
- Location
- McLean, VA
US Remote - Experience
- At least 6 years in software engineering and at least 3 years with public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 9+ years coding in more than two listed languages and other role-specific experience ranging from 1+ to 5+ 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
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads engineering teams and designs and delivers reliable, cloud-native full-stack systems and shared services for Capital One’s Shopping organization.
What you'll do
- Lead technology projects and developers, providing technical leadership and mentoring across teams.
- Design and implement large-scale distributed systems, shape architecture and platform roadmaps, and meet reliability, performance, and regulatory needs.
- Partner with product managers and architects to deliver cloud-based customer experiences and shared services.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of experience in software engineering; internship experience does 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 AI coding tools and IDE copilots, interactive AI tooling beyond basic code completion, and technical leadership.
Pay
$209,000 - $238,500 USD base salary (Remote); $229,900 - $262,400 USD base salary (McLean, VA)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Preferred experience includes using AI-based coding tools and IDE copilots, and interactive AI tooling beyond basic code completion to accelerate productivity.
Model-written summary · the original posting is authoritative