Capital One
Full Stack Engineer 4 (Java, AWS)
$179K–$205K
Richmond, VA · Full-time · Posted Oct 1, 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 7+ years coding in more than two listed languages and other role-specific experience ranging from 1+ to 4+ 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 not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Leads engineering projects and developers building cloud-based full-stack and distributed microservices solutions that meet regulatory needs and improve customer experiences.
What you'll do
- Lead technology projects and developers, providing technical direction and setting standards for design, development, and operational excellence.
- Partner with product managers and architects to deliver cloud solutions and define service boundaries, integration patterns, and 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; internships do not count.
- 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, or interactive AI tooling beyond basic code completion.
- Experience leading cross-functional engineering efforts or large-scale technical initiatives.
Pay
$179,400 - $204,700 USD base salary
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