Capital One
Senior Staff Full-stack Engineer (Remote-Eligible) - Global Payment Network
$286K–$359K
McLean, VA +4 · Senior Staff · Full-time · Posted Oct 1, 2026
- Location
- McLean, VA
US Remote
Richmond, VA
Plano, TX
Riverwoods, IL - Experience
- At least 9 years in all listed Basic Qualifications areas. Preferred experience includes 12+ years in multiple areas and other specific experience thresholds.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; Master’s Degree in Computer Science or Software Engineering preferred.
- 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 architecture for high-volume payment network systems, shaping platform strategy, modernization, technical standards, and engineering capability across teams.
What you'll do
- Set technical vision, decompose complex problems, and ensure design and implementation quality, including performance, scalability, and operability.
- Modernize monoliths into microservices and event-driven platforms; help define long-term platform strategy and API standards.
- Lead cross-divisional engineering efforts and mentor engineers while contributing directly to technical solutions.
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 applying agentic AI coding tools and demonstrated use of AI-driven tools, frameworks, or modern software development practices.
Pay
Remote: $286,200 - $326,700 USD base salary; McLean, VA: $314,800 - $359,300 USD base salary; Plano, TX: $286,200 - $326,700 USD base salary; Richmond, VA: $286,200 - $326,700 USD base salary; Riverwoods, IL: $286,200 - $326,700 USD base salary
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Java, Python
AI focus
Use automation and AI-native engineering to advance payment network capabilities; preferred expertise includes applying agentic AI coding tools and using AI-driven development tools.
Model-written summary · the original posting is authoritative