Capital One
Full-stack Engineer 4 (Java, Python, AWS) (Enterprise Platforms Technology)
$197K–$225K
McLean, VA · Full-time · Posted Oct 20, 2026
- Experience
- At least 4 years in software engineering and 2 years in public cloud platforms, cloud-based productivity tools, or virtualization technologies. Preferred experience includes 7+ years coding with Java and Python; other preferred durations range 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
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Leads engineering teams and projects to build and operate cloud-based full-stack and distributed microservice solutions for Capital One’s enterprise platforms.
What you'll do
- Lead technology projects and developers delivering regulatory solutions; set engineering standards and provide technical direction.
- Partner with product managers and architects to deliver cloud solutions, define service boundaries and integration patterns, and build reusable frameworks.
- Improve systems through refactoring, technical-debt reduction, performance optimization, 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 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 Java and Python, databases, AWS, APIs, open source, cloud troubleshooting, AI coding tools, mentoring, observability, or technical leadership.
Pay
USD $197,300 - $225,100 base salary (McLean, VA); eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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