Staff Software Engineer, Observability
Core
Design and own the long-term architecture and roadmap for the observability platform (metrics, logs, traces, events) to handle high-cardinality, high-frequency data from thousands of Wafer-Scale Engines and large Kubernetes clusters.
Role type
Staff Software Engineer (Observability Platform)
Builds
Telemetry pipelines, alerting strategies, instrumentation libraries, and unified observability layers for AI chip infrastructure.
Domain
AI Hardware Infrastructure / Distributed Systems / Observability
Deliverable
production ML models
Required skills
Distributed systems, Kubernetes, OpenTelemetry, Go, Python, Prometheus, Thanos/Cortex/Mimir, Elasticsearch/ClickHouse, Loki, SLO definition, capacity planning, technical strategy.
Preferred skills
None explicitly stated as preferred over required.
Technologies
Go, Python, OpenTelemetry, Prometheus, Thanos, Cortex, Mimir, Elasticsearch, ClickHouse, Loki, Kubernetes.
Responsibilities
Set technical direction for the observability platform; Design telemetry pipelines for Cerebras-scale data; Partner with teams to define SLOs and build alerting strategies; Bridge hardware and software observability; Design instrumentation libraries and standards; Mentor senior engineers and influence engineering practices.
Seniority
Staff, hands-on IC with significant mentorship and cross-team influence.
