Senior Observability Engineer

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 fast.
• 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.