Capital One
Full-stack Engineer 4 (Manager, IC)-EDT
$179K–$246K
McLean, VA +2 · Manager · Full-time · Posted Sep 25, 2026
- Location
- McLean, VA
New York, NY
Richmond, VA - 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 ranges from 1+ to 7+ years across coding, databases, cloud, open source, APIs, CI/CD, mentoring, and other areas.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; a Master’s Degree is preferred.
- 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 projects and developers building cloud-based full-stack and distributed systems for Enterprise Data Tech, while setting technical standards and guiding technology strategy.
What you'll do
- Lead a portfolio of technology projects and developers delivering solutions that address regulatory needs.
- Provide technical leadership across Agile teams, collaborate with product managers and architects, and mentor engineers.
- Improve system performance and reduce technical debt; evaluate emerging tools and contribute to long-term 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
- Master’s Degree in Computer Science or a related field.
- Experience with AI-based coding tools and IDE copilots or interactive AI tooling beyond basic code completion.
Pay
$197,300 - $225,100 USD base salary; $215,200 - $245,600 USD base salary; $179,400 - $204,700 USD base salary
Tools
Java, Scala, Python, Go, Node.js, JavaScript, TypeScript, Docker
AI focus
Contributes to evolving data-platform capabilities for the AI world; preferred experience includes using AI coding tools, IDE copilots, and interactive AI tooling to accelerate productivity.
Model-written summary · the original posting is authoritative