Capital One
Site Reliability Engineer 5
$230K–$262K
McLean, VA · Full-time · Posted Oct 30, 2026
- Experience
- At least 10 years in cross-organizational reliability strategy and roadmaps; at least 8 years in global cloud architecture, optimization, and financial or security governance across multiple cloud providers. Preferred: 4+ years defining and driving organization-wide IaC/CI/CD strategies.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; Master’s Degree preferred.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads enterprise-wide reliability strategy and designs, governs, and improves secure, large-scale cloud infrastructure and production systems.
What you'll do
- Set architecture, reliability roadmaps, organization-wide SLOs, and outage-prevention strategies for production systems.
- Drive automation, multi-cloud IaC governance, capacity forecasting, cost optimization, and FinOps.
- Lead crisis management and root-cause analysis, and mentor SRE talent across engineering teams.
What they ask for
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- At least 10 years of experience driving cross-organizational reliability strategy and defining multi-year technical roadmaps.
- At least 8 years of experience in global cloud architecture, optimization, and financial or security governance across multiple cloud providers.
- Experience across multiple cloud providers, such as AWS, Microsoft Azure, or GCP.
Nice to have
- Master’s Degree.
- Experience with organization-wide IaC/CI/CD strategies, distributed systems, observability and SLO frameworks, cloud security governance, or Generative AI operations automation.
Pay
$229,900 - $262,400 USD base salary (McLean, VA); performance-based incentive compensation may include cash bonuses and/or long-term incentives, amount not stated.
Tools
AWS, Microsoft Azure, GCP, Kubernetes, Serverless
AI focus
Preferred experience leveraging Generative AI/Headless AI for operations automation and to enhance automation, code quality, or operational workflows.
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