Capital One
Full-stack Engineer 4
$197K–$225K
McLean, VA · Full-time · Posted Sep 30, 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 multiple thresholds, from 1+ to 7+ years, across coding, databases, cloud, open source, APIs, CI/CD, and other areas.
- 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 not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Leads engineering teams building and operating scalable digital payment systems, including tokenization, authentication, and fraud-protection capabilities.
What you'll do
- Lead technology projects and developers delivering distributed microservices and full-stack solutions that meet regulatory needs.
- Provide technical direction, define service and integration patterns, and establish standards for design, development, and operations.
- Build cloud-based solutions, improve system performance, reduce technical debt, and influence technology strategy.
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
- Experience with modern AI-based coding tools and IDE copilots, or interactive AI tooling beyond basic code completion.
- Experience leading engineering efforts, mentoring engineers, and improving performance in distributed systems.
Pay
$197,300 - $225,100 USD annual base salary (McLean, VA)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, AWS
AI focus
Preferred experience using 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