Site Reliability Engineer - Ops & Automation
Cerebras · United States and Canada
CHECKED 8H AGO
Infrastructureonsitemid-level
At a glance
Highlights
- Operate production systems powering frontier-class models on Wafer-Scale Engine.
- Bring up new capacity in high-stakes environments at rapidly growing scale.
- Help shape a new SRE function supporting ultra high-speed AI inference.
Ideal candidate
High-ownership SRE with 2-4 years operating production systems who thrives staying hands-on and reducing toil through automation. Excited by fast-growing AI inference and shaping a team from the ground up.
Requirements
- 2-4+ years in SRE with a strong operations or automation focus
- Production Kubernetes experience
- Solid Python or Go for building tools and automation
- Proficiency with Prometheus, Grafana, and observability-driven workflows
- Ability to measure and communicate impact - reliability metrics, operational toil, velocity gains
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed