Capital One
Senior Manager, Full-Stack Engineer (People Leader)
$209K–$262K
McLean, VA +1 · Manager · Full-time · Posted Oct 21, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 6 years in software engineering, at least 3 years with specified cloud technologies or virtualization, and at least 3 years of people management. Preferred experience includes several 4+, 5+, and 9+ year criteria.
- 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 consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads and architects AI-powered engineering platforms, automation, and paved-road practices that improve software delivery across People Tech.
What you'll do
- Set the roadmap and technical vision for AI-driven engineering and operational excellence.
- Architect reusable AI accelerators, automated tools, and developer workflows while improving quality, reliability, and continuous delivery.
- Lead and mentor engineers, and align cross-functional partners to drive adoption of platform solutions.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 6 years of software engineering experience; internship experience does not apply.
- At least 3 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
- At least 3 years of people management experience.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience with architectural design reviews, enterprise technical standards, databases, CI/CD, infrastructure as code, automated testing, cloud environments, programming languages, APIs, AI coding tools, or strategic engineering leadership.
Pay
$229,900 - $262,400 USD base salary (McLean, VA); $209,000 - $238,500 USD base salary (Richmond, VA)
Tools
AWS, GCP, Azure, CI/CD, infrastructure as code, Git, GitHub, Bitbucket
AI focus
Sets technical direction for AI-driven engineering and operations, and architects AI accelerators and automated tooling; preferred experience includes AI-based coding tools and IDE copilots.
Model-written summary · the original posting is authoritative