Staff Site Reliability Engineer - Observability
Builds and scales observability platform on GCP using Terraform, Python/Go for automation. Requires 5+ years GKE, 3+ years SRE, expertise in Splunk/Grafana dashboards, Kubernetes, and distributed systems.
Key Responsibilities
- Automated Infrastructure: Design, build, and maintain scalable observability infrastructure using tools like Terraform.
- GCP Observability Engineering: Optimize collection, processing, and storage of observability data for high reliability and low latency in Splunk and Grafana services.
- Incident Response: Participate in on-call rotations and lead post-incident reviews to drive systemic improvements.
- Automation: Eliminate toil by automating deployment and scaling of observability agents and collectors.
Required Skills & Experience
- GKE: Minimum 5+ years scaling and managing observability in Google Cloud platform.
- Visualization: Expertise in Splunk or Grafana dashboards correlating data across sources.
- SRE Mindset: Minimum 3+ years in SRE, DevOps, or Systems Engineering with high-availability systems.
- Programming Proficiency: Strong skills in Python, Go for building tools and automating workflows.
- Distributed Systems: Deep understanding of Linux internals, networking (TCP/IP, DNS, Load Balancing), and container orchestration (Kubernetes/GKE).
- Problem Solving: Data-driven debugging of complex performance bottlenecks.
Bonus Skills
- Telemetry Standards: Experience with OpenTelemetry (OTel), Vector.
- Grafana Loki: Experience migrating Splunk to Grafana Loki.
- Other Cloud Platforms: Managing observability tools in AWS.
Compensation
Annual base salary range: $194,000 - $267,000 USD (San Francisco Bay Area), plus equity, bonus, and benefits.
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