Site Reliability Engineer - Ops & Automation
Skills & Technologies
Requirements
- Experience
- 2–4 years
Joblaze summary
In this role, the Site Reliability Engineer will focus on operational execution, managing production systems, and developing automation tools to enhance the efficiency of AI inference services. Key skills include experience with Kubernetes, Python or Go, and observability tools like Prometheus and Grafana. This position is ideal for engineers with 2-4 years of SRE experience who thrive in high-ownership environments and are eager to contribute to a rapidly growing team in the AI sector.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Cerebras Systems's career page.
- Cerebras Systems has 92 other open roles including Security & IT General Opportunities, Mechanical Engineer, Software Architect – Manufacturing Test.
- 2358 active Python roles on Joblaze right now.
- 1056 active Kubernetes roles on Joblaze right now.
- 712 active Go roles on Joblaze right now.
Quick facts
- Is the Site Reliability Engineer - Ops & Automation role remote?
- It's hybrid — Cerebras Systems expects some on-site time in Sunnyvale CA or Toronto Canada.
- How much experience is required?
- 2–4 years of relevant experience for this Site Reliability Engineer - Ops & Automation role.
- Where is the role based?
- Cerebras Systems is hiring for this position in Sunnyvale CA or Toronto Canada.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Grafana, Prometheus, Go, Bazel, InfluxDB, Python.
- What seniority level is this role?
- Cerebras Systems targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Site Reliability Engineer - Ops & Automation role at Cerebras Systems.
From the original posting
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
About the Role
We are building a high-performance SRE function to support one of the world’s fastest-growing AI inference services, powered by the Wafer-Scale Engine (WSE), helping deliver infrastructure for frontier-class models from leading model builders such as OpenAI.
This role offers immediate ownership of real production systems at a growing scale, direct mentorship from seasoned engineers, and close collaboration with incoming Staff SREs who will focus on long-term automation. After ~1 month of shared hands-on operations with the Staff engineers, you’ll primarily operate the current setup, bring up new capacity in high-stakes environments and help bring new continuous delivery pipelines into production use.
If you thrive in high-ownership SRE roles at scale and want to help shape a team from the ground up in cutting-edge AI Inference infrastructure, this is your chance.
This role does not require 24/7 on-call rotations.
Key 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)
Required Experience & Skills
- 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
Nice-to-Have
- Hands-on GitOps expertise, Argo CD / Flux or equivalent, is a plus
- Experience with building continuous delivery pipelines is a strong plus
- Experience with Bazel or similar build systems is a strong plus.
- Familiarity with capacity planning, on-prem or multi-datacenter environments
Location
- SF Bay Area
- Toronto
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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