# Staff Site Reliability Engineer – Automation and Platform

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Remote
**Role:** DevOps / SRE
**Experience:** 8+ years
**Skills:** Argo Cd, GitOps, Prometheus, Loki, Tempo, Mimir, Bazel, CI/CD, SLOs, Chaos Engineering
**Posted:** 2026-04-15

> Leads automation and platform engineering for ultra-reliable AI inference infrastructure, architecting self-service GitOps pipelines, observability, and tooling to eliminate toil across datacenters. Requires 8+ years SRE experience with large-scale clusters and tools like Argo CD and Prometheus.

## Job Description

## Key Responsibilities

- Define and implement a robust strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions.
- Architect self-service platforms and internal tooling that let product teams, external customers, and cluster operators safely trigger and observe critical workflows with minimal handoffs.
- Define and evolve reliability practices for inference workloads, including SLOs and SLIs for latency, throughput, and accuracy stability; error budgets; blameless postmortems; chaos testing; and capacity forecasting across multi-datacenter and on-prem environments.
- Mentor mid-level SREs, support critical incident escalations, and use production pain points to prioritize the highest-leverage automation work.
- Measure and drive impact through clear metrics, including toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows.

## Required Experience & Skills

- **8+ years** in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly demanding environments.
- Deep expertise operating large scale heterogenous clusters with a proprietary cloud control plane.
- Proven track record designing and delivering **CI/CD or GitOps** systems using **Argo CD** or similar tools, with strong safety and observability built in.
- Hands-on experience with observability systems such as **Loki, Tempo, Mimir, and Prometheus**.
- Ability to lead complex projects end to end, influence cross-functional stakeholders, and communicate technical direction clearly.

## Nice-to-Haves

- Experience with **Bazel** or other large-scale build systems in production.
- Background in **AI/ML inference** systems, including model serving runtimes, GPU or wafer-scale orchestration, latency and accuracy SLOs, or drift monitoring.
- Prior work on predictive autoscaling, chaos engineering, or cost-aware capacity planning for compute-intensive workloads.

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**Canonical:** https://hotfix.jobs/jobs/a59fc5be-0747-4a8e-ac92-21437f70cc79