Capital One
Staff Software Engineer - Card Tech
$245K–$335K
San Francisco, CA +4 · Staff · Full-time · Posted Sep 28, 2026
- Location
- San Francisco, CA
McLean, VA
Richmond, VA
Chicago, IL
New York, NY - Experience
- At least 7 years in each of the listed areas; preferred experience includes 10+ years in several areas, 8+ years with databases, 5+ years with public cloud platforms, 5+ years mentoring senior engineers, and 2+ years leading 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 hands-on software engineering for Card Tech, modernizing platforms and advancing AI-native development while setting technical direction and mentoring engineers.
What you'll do
- Set technical vision and ensure design and implementation quality, including performance, scalability, and operability.
- Modernize monolithic systems into microservices and event-driven platforms, and help define platform strategy and API standards.
- Write production code, mentor engineers, and lead cross-divisional technical initiatives and best practices.
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 strategically applying agentic AI coding tools to development challenges.
Pay
$244,700 - $279,200 USD base salary (Chicago, IL); $269,100 - $307,200 USD base salary (McLean, VA); $293,600 - $335,100 USD base salary (New York, NY); $244,700 - $279,200 USD base salary (Richmond, VA); $293,600 - $335,100 USD base salary (San Francisco, CA)
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Java, Python
AI focus
Use agentic development tools and AI-generated code to accelerate software development; ensure outputs are flawless, secure, and scalable, and mentor engineers in AI-native building.
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