Site Reliability Engineer

The role focuses on keeping large-scale production systems reliable, observable, and fast. This team owns the infrastructure layer
- Kubernetes clusters, CI/CD pipelines, and the observability stack that hundreds of internal engineers depend on to ship daily.

The role focuses on keeping large-scale production systems reliable, observable, and fast. This team owns the infrastructure layer
- Kubernetes clusters, CI/CD pipelines, and the observability stack that hundreds of internal engineers depend on to ship daily.

This is a hands‑on position for someone who treats reliability as a product problem: defining SLOs, instrumenting everything, automating away toil, and taking pages when systems misbehave. The team sits directly on‑call for services handling significant production traffic.

• Operate and scale Kubernetes‑based infrastructure across multiple environments, including cluster upgrades, autoscaling policies, and node lifecycle management
• Build and maintain Terraform modules for provisioning cloud infrastructure (AWS or GCP), enforcing infrastructure‑as‑code practices across the org
• Design SLOs, SLIs, and error budgets with product teams, and drive reliability improvements through error budget policy decisions
• Instrument services with Prometheus, Grafana, and Open Telemetry; build dashboards and alerts that page on symptoms, not causes
• Lead incident response for production outages, write blameless postmortems, and follow through on action items to closure
• Automate operational toil out of existence - runbooks, self‑service tooling, and pipelines that remove manual steps from deploys and scaling operations
• Improve CI/CD pipelines (Git Hub Actions, ArgoCD) to make deployments faster, safer, and progressively rolled out by default

• 3–7 years of experience in SRE, Dev Ops, or infrastructure engineering, including ownership of production systems with real on‑call rotations
• Deep hands‑on experience with Kubernetes in production: operating clusters, troubleshooting workloads, and managing controllers/operators
• Strong infrastructure‑as‑code skills with Terraform (or equivalent), plus scripting proficiency in Python, Go, or Bash
• Experience running observability tooling in production:
  Prometheus, Grafana, distributed tracing (Open Telemetry or similar)
• Practical understanding of Linux systems, networking fundamentals (DNS, TLS, load balancing), and container internals
• Track record of leading incident response and writing postmortems that actually change engineering practice
• Bonus:
  Experience with service meshes (Istio/Linkerd), chaos engineering, Git Ops workflows, or cloud cost optimization; BS in Computer Science or equivalent practical experience