Cloud Infrastructure Engineer
Cerebras · Sunnyvale, CA
Infrastructureremotesenior
At a glance
Highlights
- Design and operate cloud infrastructure powering the world's largest AI chip.
- Ensure fast, resilient production environment as platform scales rapidly.
- Support ultra-fast inference transforming real-time AI application experiences.
Ideal candidate
High-ownership infrastructure engineer with 8+ years scaling reliable cloud platforms. You thrive on automation, incident ownership, and partnering with fast-moving teams to keep critical AI systems fast and resilient.
Requirements
- 8+ years in cloud infrastructure, SRE, or DevOps with strong software engineering foundation
- Deep hands-on AWS expertise architecting multi-region, multi-account environments
- AWS Solutions Architect Professional or equivalent practical depth
- Expert-level Terraform with Atlantis or similar GitOps workflows
- Strong programming in Python, Go, or similar for production-grade automation
- Proven experience with Kubernetes, EKS preferred, including networking and reliability
- Deep understanding of AWS networking: VPC, Transit Gateway, Direct Connect, PrivateLink
- Experience with AWS IAM at scale, role design, OIDC federation and least-privilege
- Hands-on experience with AI coding tools for triage and operational workflows
- Strong incident command skills with end-to-end ownership and postmortems
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed
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