Staff Cloud Infrastructure Engineer

Job summary

Responsibilities

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

• Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
• Design and implement IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning solutions using modern identity platforms…
• Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go.
• Design and implement security controls for AI-powered systems, including controlled, audited, and governed agent workflows, while contributing to core security services such as…
• Partner across Security, Engineering, and Infrastructure teams to drive secure-by-design solutions, implement Zero Trust principles, and reduce operational friction.

What they're looking for

• 7+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & Access Management, Identity Engineering, or Security Engineering.
• Proven experience designing and owning complex production infrastructure or platform systems at scale.
• Strong knowledge of authentication, authorization, identity lifecycle management, and federation protocols including SAML, OAuth2, OIDC, SCIM, and RBAC.
• Experience designing and operating identity and access controls within AWS environments, with hands-on experience building and operating production-level services on AWS.
• Experience working with container technologies and deploying and operating services on Kubernetes.

Tech stack

• AWS
• Terraform
• Python
• Kubernetes
• Go
• Azure
• GCP