Capital One
Staff Full-stack Engineer - FS Tech Architecture
$245K–$279K
Plano, TX · Staff · Full-time · Posted Oct 2, 2026
- Experience
- At least 7 years in each of the stated basic-qualification areas; preferred experience includes 10+ years in several areas and additional requirements ranging from 2+ to 10+ years.
- 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 architecture and hands-on engineering for cloud-native auto-financing systems, driving scalable, maintainable platforms and technical practices across Capital One.
What you'll do
- Set technical direction and evaluate designs for scalability, consistency, performance, operability, and maintainability.
- Modernize monolithic systems into microservices and event-driven platforms; help define platform strategy and API standards.
- Lead cross-divisional initiatives and mentor engineers through technical contributions and knowledge sharing.
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.
- At least 7 years of experience in enterprise architecture and design patterns.
- At least 7 years of experience in 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 annual base salary for Plano, TX; performance-based incentive compensation may include cash bonuses and/or long-term incentives, with amounts not specified.
Tools
AWS, Microsoft Azure, Google Cloud, JavaScript, TypeScript, Go, Python, Rust
AI focus
Preferred expertise in strategically applying agentic AI coding tools to solve systemic development challenges; the role also works alongside ML practitioners.
Model-written summary · the original posting is authoritative