Capital One
Staff Full-Stack Engineer
$245K–$335K
San Francisco, CA +2 · Staff · Full-time · Posted Sep 24, 2026
- Location
- San Francisco, CA
New York, NY
San Jose, CA - Experience
- At least 7 years in each of the listed basic-qualification areas. Preferred experience includes 10+ years in several areas, 8+ years with database systems, 5+ years with public cloud platforms, 10+ years in networking, 5+ years mentoring senior engineers, and 2+ years leading cross-domain architectural reviews.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred: Master’s Degree in Computer Science or Software Engineering.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads technical strategy and hands-on engineering for cloud-based banking platforms, modernizing systems and guiding architecture, implementation, and engineering teams.
What you'll do
- Set technical direction, ensure design and implementation quality, and address performance, scalability, and operability.
- Modernize monoliths into microservices and event-driven platforms; shape platform strategy and API standards.
- Lead cross-divisional initiatives, mentor engineers, and share technical knowledge across the organization.
What they ask for
- Bachelor's degree or higher in Computer Science or a related quantitative field.
- At least 7 years of experience in software engineering and solution architecture, enterprise architecture and design patterns, cloud computing, and data architecture.
Nice to have
- Master’s Degree in Computer Science or Software Engineering.
- Expertise in the strategic application of agentic AI coding tools to solve systemic development challenges.
Pay
USD $244,700 - $279,200 annual base salary (Sales Territory); USD $293,600 - $335,100 annual base salary (New York, NY); USD $293,600 - $335,100 annual base salary (San Francisco, CA)
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Java, Python
AI focus
Preferred expertise applying agentic AI coding tools to systemic development challenges; preferred experience designing and building distributed HPC and ML systems.
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