SRE Automation Engineer - CD Pipelines & Observability

Cerebras; Raleigh (NC); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Open source research

Startup vitality

Non‑corporate culture

Job summary

Cerebras Systems is seeking a hands-on SRE to own production systems and scale our AI inference services. You will collaborate with Staff SREs to build robust CD pipelines, automate capacity changes, and improve reliability through telemetry and observability across our stack.

You will bring 2–4+ years of SRE experience, production Kubernetes expertise, and proficiency in Python or Go. The role emphasizes reducing operational toil while delivering scalable, reliable systems in a fast‑growing

Qualifications

• 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.

Responsibilities

• Remain hands‑on with operational execution (releases, capacity changes, cluster upgrades) over the next year as we build robust continuous delivery pipelines and self‑service capabilities.
• Contribute to the development of self‑service CD pipelines for key workflows using our stack: Kubernetes, Bazel, Prometheus/Grafana/InfluxDB, Python, and Go.
• Build reusable automation and internal developer tools that minimize operational toil and cross‑team friction.
• Develop and extend telemetry, observability and alerting solutions to ensure operational reliability at scale.
• Collaborate with Cluster Ops and development teams to identify high‑impact automation opportunities and iterate quickly.
• Contribute to reliability practices (SLOs, post‑mortems, capacity planning).

Skills

Kubernetes

Python

Go

Prometheus

Grafana

Observability

SRE

Tools

Argo CD

Flux

Bazel

Job description

Cerebras Systems is seeking a hands-on SRE to own production systems and scale our AI inference services. You will collaborate with Staff SREs to build robust CD pipelines, automate capacity changes, and improve reliability through telemetry and observability across our stack.

You will bring 2–4+ years of SRE experience, production Kubernetes expertise, and proficiency in Python or Go. The role emphasizes reducing operational toil while delivering scalable, reliable systems in a fast‑growing