Capital One
Sr. Staff Cloud Engineer (Cloud Strategy & Innovation)
$286K–$392K
McLean, VA +4 · Senior Staff · Full-time · Posted Oct 20, 2026
- Location
- McLean, VA
San Francisco, CA
Richmond, VA
New York, NY
Plano, TX - Experience
- At least 9 years in software engineering and at least 6 years in cloud engineering; preferred: 12+ years coding, 8+ years with public cloud platforms, and 8+ years in CI/CD, IaC, and Policy-as-Code.
- 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
Drive cloud infrastructure strategy and platform modernization, shaping scalable cloud services while leading technical direction and cross-enterprise execution.
What you'll do
- Define cloud platform strategy, connectivity, landing zones, and API standards with senior leaders and stakeholders.
- Guide technical design and implementation, modernization, and cross-divisional engineering initiatives.
- Lead responsible adoption of AI and automation, while mentoring engineers and improving platform reliability and efficiency.
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.
- At least 6 years of experience in cloud engineering.
Nice to have
- Master’s Degree in Computer Science or Software Engineering.
- 12+ years of coding experience with Java, Scala, Python, Go, or Node.js; cloud, IaC, CI/CD, leadership, and AI expertise are also preferred.
Pay
$314,800 - $359,300 USD base salary (McLean, VA); $343,400 - $392,000 USD base salary (New York, NY); $286,200 - $326,700 USD base salary (Plano, TX); $286,200 - $326,700 USD base salary (Richmond, VA); $343,400 - $392,000 USD base salary (San Francisco, CA)
Tools
Java, Scala, Python, Go, Node.js, AWS, GCP, Azure
AI focus
Lead responsible adoption of emerging AI and automation to improve cloud platform and engineering workflow scalability, reliability, and efficiency; preferred expertise in strategic use of agentic AI coding tools.
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