IT SRE Team Lead

About the role

We are seeking an experienced IT SRE Team Lead to build and run the reliability function for Cerebras' internal technology estate. The IT SRE Team Lead will be responsible for the availability, performance, and operational quality of the systems Cerebras employees rely on every day, including identity, endpoint management, collaboration, SaaS, and internal networking. The right candidate will bring a software engineering mindset to IT operations, treating corporate infrastructure as code, with measurable SLOs, automated remediation, and a ruthless focus on eliminating toil. You will build and lead a small, high-leverage team of engineers who build tooling, write automation, and respond when things break. You will partner closely with the security, networking, and infrastructure teams to make sure the internal environment stays fast, stable, and secure as the company scales.

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, and comfort writing production-grade automation.
• 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, defining SLOs, and driving operational maturity in a fast-moving environment.
• Experience supporting highly technical engineering populations where uptime and speed both matter.
• Strong organizational skills with the ability to multitask and prioritize.
• Detail-oriented with the ability to anticipate the needs of customers and internal stakeholders.
• Proactive, adaptable, and able to thrive in a rapidly changing environment.
• Excellent verbal and written communication skills.
• Why Join 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 inc

Benefits

Additional Information

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.

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