Capital One
Full-stack Engineer 4 - Card Tech
$179K–$225K
McLean, VA +2 · Full-time · Posted Oct 6, 2026
- Location
- McLean, VA
Richmond, VA
Chicago, IL - 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 with more than two listed languages and additional experience requirements ranging 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
- Will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Leads engineering teams building and operating cloud-based, full-stack distributed systems for Card Technology, including real-time decisioning capabilities.
What you'll do
- Lead technology projects and developers, setting engineering standards and providing technical direction across Agile teams.
- Partner with product managers and architects to build robust cloud solutions and define service boundaries, integrations, and reusable frameworks.
- Improve system performance and reliability through refactoring, technical-debt reduction, and evaluation of emerging technologies.
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 (AWS, GCP, Azure), 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
Chicago, IL: $179,400 - $204,700 USD base salary; McLean, VA: $197,300 - $225,100 USD base salary; Richmond, VA: $179,400 - $204,700 USD base salary
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Builds real-time intelligent decisioning systems and a machine-learning foundation; experience with AI coding tools is preferred.
Model-written summary · the original posting is authoritative