Staff Software Engineer - Observability
Cerebras Systems5 hours ago
Responsibilities
- Design and implement observability instrumentation across services and platforms.
- Build and maintain scalable telemetry pipelines for metrics, logs, and traces.
- Develop internal observability platforms, libraries, and tooling.
- Define and operationalize SLIs, SLOs, and alerting strategies.
- Partner with engineers to make systems debuggable by design.
- Reduce MTTR through faster root-cause analysis during incidents.
- Create actionable dashboards and alerts that reflect system health.
- Balance telemetry signal against cost, noise, and performance impact.
- Improve the developer experience around observability and debugging.
Requirements
- Strong experience in backend or systems software engineering.
- Proficiency in one or more of Go, C++, Rust, Java, or Python.
- Understanding of distributed systems, networking fundamentals, concurrency, and performance tradeoffs.
- Hands-on experience with metrics, logs, distributed tracing, production monitoring, and alerting.
- Familiarity with OpenTelemetry, Prometheus, Grafana, Datadog, Elastic, Jaeger, or Tempo, or similar tools.
- Experience designing high-signal alerts, scalable telemetry pipelines, and service-level indicators and objectives.
- Preferred: experience in high-performance computing, AI/ML systems, inference platforms, hardware-aware observability, SRE or platform engineering, large-scale production incident debugging, or internal developer platforms and shared libraries.
Benefits
- Opportunity to build a breakthrough AI platform and work on a high-performance AI supercomputer.
- Opportunities to publish and open source cutting-edge AI research.
- Job stability with startup vitality and a non-corporate work culture.
- Cerebras is committed to an equal and diverse work environment with continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.