IT SRE Team Lead at Cerebras Systems - ScoutJobs - The AI-curated global job board
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Cerebras Systems
Posted a day ago

IT SRE Team Lead

Cerebras SystemsIT SRE Team Lead

Requirements

8+ years in SRE, DevOps, or IT engineering, 2+ years in leadership, Experience with AI coding tools and AI agents, Proficiency in Python or Go, Experience with Okta, Entra, Jamf, or Intune, Hands-on with Terraform and CI/CD

Skills

PythonGoTerraformOKTAJamfSRE

About the role

Responsibilities

  • Define and own the reliability strategy for internal IT systems, including SLOs, error budgets, and operational health reporting.
  • Build and lead a team of IT SRE engineers focused on automation, observability, and incident response for corporate systems.
  • Design and implement automation to eliminate manual IT work across provisioning, access management, patching, and lifecycle operations.
  • Instrument internal services and SaaS integrations with monitoring, alerting, and on-call workflows.
  • Run incident response for IT outages, including root cause analysis and durable remediation.
  • Drive infrastructure-as-code and GitOps practices across IT-owned systems.
  • Partner with security and networking teams on identity, access, and network reliability.

Requirements

  • Minimum 8 years of experience in SRE, DevOps, or IT engineering roles, with at least 2 years in a leadership capacity.
  • Direct hands-on experience with AI coding tools, building and deploying AI agents for triage and bug fixes.
  • Strong software engineering background with hands-on experience in Python, Go, or similar.
  • Deep experience with identity platforms (Okta, Entra), endpoint management (Jamf, Intune), and SaaS integration patterns.
  • Hands-on experience with infrastructure-as-code tools (Terraform) and CI/CD pipelines applied to IT systems.
  • Proven track record of running on-call rotations and driving operational maturity in fast-moving environments.

About the Company

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, empowering machine learning users to effortlessly run large-scale ML applications. Our technology is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via agentic computation.

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IT SRE Team Lead

Cerebras Systems · Sunnyvale

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