Cerebras

9 months ago

Staff Site Reliability Engineer – Automation and Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Build and lead a high-performance SRE function for ultra-reliable AI inference infrastructure powered by the Wafer-Scale Engine. Drive toil elimination at scale with self-service delivery pipelines and shared observability, then architect the “tomorrow” layer: declarative GitOps-driven CD, capacity provisioning, and cluster upgrades. Partner with an early-career SRE sub-team, mentor engineers, and define reliability practices using SLOs/SLIs, error budgets, chaos testing, and capacity forecasting.

Location: Sunnyvale, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Define and implement a strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions.
•Architect self-service platforms and internal tooling for safely triggering and observing critical workflows with minimal handoffs.
•Define and evolve reliability practices for inference workloads, including SLOs/SLIs, error budgets, blameless postmortems, chaos testing, and capacity forecasting.
•Mentor mid-level SREs and support critical incident escalations while prioritizing high-leverage automation based on production pain points.
•Measure and drive impact using metrics such as toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows.

Key Requirements

•8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record improving automation and reliability at large scale.
•Deep expertise operating large-scale heterogeneous clusters with a proprietary cloud control plane.
•Design and deliver CI/CD or GitOps systems using Argo CD (or similar) with safety and observability built in.
•Hands-on experience with observability tools such as Loki, Tempo, Mimir, and Prometheus.
•Ability to lead complex end-to-end projects, influence cross-functional stakeholders, and communicate technical direction clearly.

Experience:8+ yearsSREPlatform engineeringInfrastructure engineeringFAANGHyperscaler

Skills:Lead complex projectsCross-functional influenceClear technical communicationMentorship

Tech Stack:GitOpsArgo CDCI/CDLokiTempoMimirPrometheusSLOSLIGitOps-driven CDCapacity forecastingChaos testingBazelWafer-Scale Engine (WSE)

Company Brief

Cerebras

Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn

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Cerebras

9 months ago

Staff Site Reliability Engineer – Automation and Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: Sunnyvale, Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Define and implement a strategy for delivering and running software reliably and at scale across multiple datacenters and cloud-based solutions.
•Architect self-service platforms and internal tooling for safely triggering and observing critical workflows with minimal handoffs.
•Define and evolve reliability practices for inference workloads, including SLOs/SLIs, error budgets, blameless postmortems, chaos testing, and capacity forecasting.
•Mentor mid-level SREs and support critical incident escalations while prioritizing high-leverage automation based on production pain points.
•Measure and drive impact using metrics such as toil reduction, deployment velocity, SLO compliance, MTTR, and adoption of self-service workflows.

Key Requirements

•8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record improving automation and reliability at large scale.
•Deep expertise operating large-scale heterogeneous clusters with a proprietary cloud control plane.
•Design and deliver CI/CD or GitOps systems using Argo CD (or similar) with safety and observability built in.
•Hands-on experience with observability tools such as Loki, Tempo, Mimir, and Prometheus.
•Ability to lead complex end-to-end projects, influence cross-functional stakeholders, and communicate technical direction clearly.

Experience:8+ yearsSREPlatform engineeringInfrastructure engineeringFAANGHyperscaler

Skills:Lead complex projectsCross-functional influenceClear technical communicationMentorship

Tech Stack:GitOpsArgo CDCI/CDLokiTempoMimirPrometheusSLOSLIGitOps-driven CDCapacity forecastingChaos testingBazelWafer-Scale Engine (WSE)

Company Brief

Cerebras

Industry: Hardware Devices

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn