Capital One
Full Stack Engineer - 4 (Java, Python, AWS)
$179K–$225K
McLean, VA +1 · Full-time · Posted Sep 29, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years in software engineering and 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, among other alternatives.
- 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 full-stack engineering projects and teams, building cloud-based distributed services and systems that meet regulatory needs and improve customer experiences.
What you'll do
- Lead technology projects and developers building distributed microservices and full-stack systems.
- Provide technical direction, establish engineering standards, and partner with architects on service boundaries and integration patterns.
- Deliver cloud-based solutions and improve systems through refactoring, 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 experience in software engineering; 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, IDE copilots, and interactive AI tooling beyond basic code completion.
- Master’s Degree in Computer Science or a related field.
Pay
$179,400 - $204,700 USD base salary; $197,300 - $225,100 USD base salary
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, AWS
AI focus
Preferred experience leveraging AI coding tools, IDE copilots, and interactive AI tooling to accelerate productivity.
Model-written summary · the original posting is authoritative