Capital One
Staff Full-stack Engineer - - B2B Platforms & Payment Systems (Remote-Eligible)
$245K–$307K
Richmond, VA +2 · Staff · Full-time · Posted Sep 30, 2026
- Location
- Richmond, VA
US Remote
McLean, VA - Experience
- At least 7 years in each of the stated basic-qualification areas. Preferred experience includes 10+ years in several areas, 8+ years in database systems and public cloud, 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
Lead technical strategy and hands-on engineering for small-business spend, credit, and payment platforms, including modernizing systems and applying AI to customer and development workflows.
What you'll do
- Define platform vision and architecture; modernize monoliths into microservices and event-driven platforms.
- Design and build scalable systems, ensuring technical quality, performance, operability, and sound implementation.
- Mentor engineers, set technical standards, and lead cross-divisional projects and platform strategy.
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
$244,700 - $279,200 USD base salary (Remote); $269,100 - $307,200 USD base salary (McLean, VA); $244,700 - $279,200 USD base salary (Richmond, VA)
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Java, Python
AI focus
Identify and implement high-value AI and agentic-system use cases in the software ecosystem, including intelligent customer experiences and strategic use of agentic AI coding tools.
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