Drimva

Capital One

Site Reliability Engineer 4 (Cloud Operations Resilience Engineering)

$179K–$205K

Riverwoods, IL · Full-time · Posted Oct 7, 2026

Experience
At least 8 years in each of the two stated experience areas; preferred: 4+ years defining and driving IaC/CI/CD strategies.
Education
Bachelor's Degree or higher in Computer Science or a related quantitative field; Master’s Degree preferred.
Visa sponsorship
Will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.

About the job

Leads cloud operations resilience engineering, building reliable large-scale production platforms and setting organization-wide infrastructure and reliability strategy.

What you'll do

  • Set architectural direction for resilient production systems, multi-cloud IaC, and reliability objectives.
  • Lead automation, incident response, root-cause analysis, outage prevention, capacity forecasting, and infrastructure cost optimization.
  • Mentor SREs and promote reliability practices across engineering teams.

What they ask for

  • Bachelor's Degree or higher in Computer Science or a related quantitative field.
  • At least 8 years of experience leading SRE or DevOps initiatives and defining technical roadmaps.
  • At least 8 years of experience architecting, optimizing, and governing enterprise-scale solutions on a major cloud provider (AWS, Microsoft Azure, GCP).

Nice to have

  • Master’s Degree; 4+ years defining and driving IaC/CI/CD strategies; experience with 2 or more high-performance languages.
  • Experience with distributed systems, Kubernetes or Serverless, SLOs and observability, cloud security governance, open-source or platform innovation, and Generative AI/Headless AI for operations automation.

Pay

$179,400 - $204,700 USD base salary (Riverwoods, IL); performance-based incentive compensation may also be available, with no amount stated.

Tools

AWS, Microsoft Azure, GCP, Kubernetes, Serverless, IaC/CI/CD, Zero Trust, Secrets Management

AI focus

Preferred experience leveraging Generative AI/Headless AI for advanced operations automation.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)