- Basic Requirements
- BS in Computer Science or equivalent experience

- 5+ years running production observability, SRE, or DevOps. Datadog preferred; strong Grafana/Prometheus, Splunk, or New Relic experience counts if you can ramp on Datadog rapid.

- Automation-first engineering in Python, Bash, Go, and/or Terraform, plus Kubernetes proficiency. You encode monitoring standards as code rather than clicking the UI.

- AI- and workflow-literate. You've used or built scripted and AI-assisted workflows to scale reviews, audits, and docs.

- Alerting and SLO strategy: burn-rate and error-budget thinking, with a track record of cutting alert fatigue on evidence.

- Distributed-systems debugging across microservices: latency, connection pools, queues, and cascading failure on Kubernetes and bare metal, with NATS, RabbitMQ, Postgres, and Redis.

- Shared on-call, Incident Commander-capable. You've run or supported incident bridges and written postmortems, and you'll take shifts on the shared IR & Observability rotation.

📌 Senior Observability Engineer (Chennai)
🏢 QSS Global Jaipur
📍 Chennai