Staff Cloud Infrastructure Engineer
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 8H AGO
Infrastructureremotestaff
At a glance
Highlights
- Design secure, scalable cloud infrastructure for the world's largest AI chip.
- Architect identity and security controls for AI-powered systems at scale.
- Support ultra high-speed inference including OpenAI's 750MW deployment.
Ideal candidate
A security-minded platform builder who loves owning large-scale infrastructure end to end, driving Zero Trust design, mentoring engineers, and partnering across teams to reduce friction.
Requirements
- 7+ years in Cloud Infrastructure, Platform, Identity, or Security Engineering
- Proven ownership of complex production infrastructure or platform systems at scale
- Strong knowledge of authentication, authorization, lifecycle management and federation
- Experience designing identity and access controls in AWS production environments
- Experience deploying and operating containerized services on Kubernetes
- Strong automation and coding skills with Python or Go and Terraform IaC
- Experience with Zero Trust, least-privilege access and SOC2, FedRAMP or ITAR compliance
- Experience supporting production services via monitoring, troubleshooting and incident response
- Ability to influence technical direction, drive cross-team initiatives and mentor engineers
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