Capital One
Cloud Engineer 4 (Cloud Operations Resilience Engineering)
$179K–$225K
Richmond, VA +1 · Full-time · Posted Sep 24, 2026
- Location
- Richmond, VA
McLean, VA - Experience
- At least 5 years in software engineering and at least 2 years in cloud engineering; preferred: 6+ years coding and 3+ years with public cloud platforms.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- Visa sponsorship
- Will not sponsor a new applicant for employment authorization or provide immigration-related support.
About the job
Leads cloud operations resilience engineering initiatives, developing and governing scalable cloud platforms while providing technical direction and advancing responsible AI and automation use.
What you'll do
- Lead technical strategy for cloud initiatives, mentor developers, and set engineering standards across Agile teams.
- Partner with architects and product managers to build robust cloud solutions and define service boundaries, integrations, and reusable frameworks.
- Improve cloud platform reliability, scalability, and efficiency through emerging AI, automation, and proactive operational risk management.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 5 years of experience in software engineering (Internship experience does not apply).
- At least 2 years of experience in cloud engineering.
Nice to have
- 6+ years of experience coding with at least one of the following: Java, Scala, Python, Go, or Node.js; 3+ years with public cloud platforms.
- Experience with CI/CD, Infrastructure-as-Code, Policy-as-Code, distributed systems, cloud security and networking, production cloud support, or AI-driven operations; relevant active cloud certification.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
Java, Scala, Python, Go, Node.js, Docker, Kubernetes, Terraform
AI focus
Leads responsible adoption of AI and automation to improve cloud platform scalability, reliability, and efficiency; preferred experience includes AI-driven cloud operations, infrastructure performance, and cost optimization.
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