Capital One
Sr. Staff Software Engineer - Card Tech
$286K–$392K
San Francisco, CA +4 · Senior Staff · Full-time · Posted Sep 24, 2026
- Location
- San Francisco, CA
McLean, VA
Richmond, VA
Chicago, IL
New York, NY - Experience
- At least 9 years in each of the listed basic-qualification areas. Preferred experience includes 12+ years in several listed areas, 10+ years with databases, 7+ years with public cloud or virtualization, 7+ years mentoring senior engineers, and 3+ years leading architectural reviews or establishing standards.
- 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 engineering and technical strategy for Card Tech, modernizing platforms and using AI-native development practices to deliver secure, scalable software while mentoring engineers.
What you'll do
- Define technical vision and standards; ensure design and implementation quality, performance, scalability, and operability.
- Modernize monoliths into microservices and event-driven platforms; shape long-term platform strategy and API standards.
- Ship production code, mentor engineers, and lead cross-divisional technical initiatives.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 9 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 strategic application of agentic AI coding tools.
Pay
Chicago, IL: $286,200 - $326,700 USD base salary; McLean, VA: $314,800 - $359,300 USD base salary; New York, NY: $343,400 - $392,000 USD base salary; Richmond, VA: $286,200 - $326,700 USD base salary; San Francisco, CA: $343,400 - $392,000 USD base salary
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Python, Rust
AI focus
Use agentic AI coding tools and spec-driven design to accelerate development; validate AI-generated output for quality, security, and scalability; mentor teams to become AI-native builders.
Model-written summary · the original posting is authoritative