Cerebras

9 months ago

Site Reliability Engineer - Ops & Automation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Own real production systems for a rapidly growing AI inference service, helping operate the current environment and bring up new capacity in high-stakes setups. Build and extend continuous delivery and self-service pipelines, improve telemetry/observability/alerting for reliability at scale, and reduce operational toil with reusable automation and internal developer tools. Collaborate with Cluster Ops and development teams on SLOs, post-mortems, and capacity planning (no 24/7 on-call).

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Remain hands-on with operational execution, including releases, capacity changes, and cluster upgrades, while building robust continuous delivery and self-service capabilities.
•Develop self-service continuous delivery pipelines for key workflows using Kubernetes, Bazel, Prometheus/Grafana/InfluxDB, Python, and Go.
•Build reusable automation and internal developer tools to 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 improve reliability practices like SLOs, post-mortems, and capacity planning.

Key Requirements

•2-4+ years in SRE with a strong operations or automation focus.
•Production Kubernetes experience.
•Build tools and automation with Python or Go.
•Use Prometheus and Grafana with observability-driven workflows.
•Measure and communicate impact using reliability metrics, operational toil, and velocity gains.

Experience:2+ yearsSREAI inferenceKubernetesContinuous deliveryObservability

Skills:Hands-on operational executionAutomation mindsetCollaborationCommunicationImpact measurement

Tech Stack:KubernetesBazelPrometheusGrafanaInfluxDBPythonGoGitOpsArgo CDFluxContinuous delivery pipelinesSelf-service

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

Site Reliability Engineer - Ops & Automation

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Onsite

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Remain hands-on with operational execution, including releases, capacity changes, and cluster upgrades, while building robust continuous delivery and self-service capabilities.
•Develop self-service continuous delivery pipelines for key workflows using Kubernetes, Bazel, Prometheus/Grafana/InfluxDB, Python, and Go.
•Build reusable automation and internal developer tools to 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 improve reliability practices like SLOs, post-mortems, and capacity planning.

Key Requirements

•2-4+ years in SRE with a strong operations or automation focus.
•Production Kubernetes experience.
•Build tools and automation with Python or Go.
•Use Prometheus and Grafana with observability-driven workflows.
•Measure and communicate impact using reliability metrics, operational toil, and velocity gains.

Experience:2+ yearsSREAI inferenceKubernetesContinuous deliveryObservability

Skills:Hands-on operational executionAutomation mindsetCollaborationCommunicationImpact measurement

Tech Stack:KubernetesBazelPrometheusGrafanaInfluxDBPythonGoGitOpsArgo CDFluxContinuous delivery pipelinesSelf-service

Company Brief

Cerebras

Industry: Hardware Devices

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

Growth: Scaleup

Headquarters: Sunnyvale, United States

Founded: 2016

Website LinkedIn