Capital One
Staff Cloud Engineer
$245K–$335K
McLean, VA +3 · Staff · Full-time · Posted Oct 30, 2026
- Location
- McLean, VA
Richmond, VA
New York, NY
Plano, TX - Experience
- At least 8 years in software engineering and at least 4 years in cloud engineering. Preferred: 10+ years coding; 6+ years with public cloud platforms and 6+ years with CI/CD orchestration, Infrastructure-as-Code, and Automated Governance.
- 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 cloud platform modernization and strategy, improving enterprise infrastructure through scalable architecture, engineering leadership, and responsible AI and automation adoption.
What you'll do
- Define technical vision and platform strategy; ensure sound technical design and implementation.
- Modernize monolithic systems into microservices and event-driven platforms, and lead cross-divisional engineering initiatives.
- Promote responsible AI and automation for cloud platform and engineering workflow scalability, reliability, and efficiency; mentor engineers.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 8 years of experience in software engineering.
- At least 4 years of experience in cloud engineering.
Nice to have
- Master’s Degree in Computer Science or a Master’s Degree in Software Engineering.
- 10+ years of experience coding with a listed language; related cloud, CI/CD, infrastructure-as-code, governance, and leadership experience.
Pay
USD $269,100 - $307,200 base salary (McLean, VA); USD $293,600 - $335,100 base salary (New York, NY); USD $244,700 - $279,200 base salary (Plano, TX); USD $244,700 - $279,200 base salary (Richmond, VA)
Tools
Java, Scala, Python, Go, Node.js, AWS, GCP, Azure, OCI
AI focus
Leads responsible adoption of AI and automation to improve cloud platform and engineering workflow scalability, reliability, and efficiency; preferred expertise includes strategic use of agentic AI coding tools.
Model-written summary · the original posting is authoritative