Capital One
Full-stack Engineer 4
$197K–$225K
McLean, VA · Full-time · Posted Oct 14, 2026
- Experience
- At least 4 years in software engineering and at least 2 years in 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; 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.
About the job
Leads engineering projects and developers to build and operate cloud-based full-stack and microservices solutions, while setting technical direction and improving systems.
What you'll do
- Lead technology projects and developers, delivering solutions for regulatory needs and customer experiences.
- Set engineering standards and provide technical leadership across Agile teams; partner with architects on service boundaries and integration patterns.
- Improve system performance and reduce technical debt through refactoring, emerging technology evaluation, and operational ownership.
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, IDE copilots, or interactive AI tooling beyond basic code completion.
- Experience in mentoring, open-source contribution, front-end frameworks, APIs, CI/CD, infrastructure as code, automated testing, observability, or technical leadership.
Pay
$197,300 - $225,100 USD base salary (McLean, VA)
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Experience leveraging AI-based coding tools, IDE copilots, and interactive AI tooling to accelerate productivity is preferred.
Model-written summary · the original posting is authoritative