Required Qualifications / Skills

• 6+ years of experience in DevOps, SRE, or platform engineering, with at least 2+ years supporting AI/ML workloads in production;
• Expert-level experience with infrastructure-as-code: Terraform (primary), with exposure to Pulumi, CloudFormation, or Bicep;
• Production experience with Kubernetes (EKS, AKS, or GKE): cluster management, Helm charts, operators, auto-scaling, and troubleshooting;
• Deep experience with CI/CD pipeline design: GitHub Actions, GitLab CI, Azure DevOps Pipelines, or Jenkins including multi-stage pipelines with automated quality gates;
• Strong cloud infrastructure experience across at least two of: AWS, Azure, GCP with hands-on skills in networking, compute, storage, identity, and security services;
• Proficiency in scripting and automation: Python, Bash, PowerShell, and at least one of: Go, TypeScript;
• Experience building observability stacks: Prometheus, Gr...