Staff Cloud Infrastructure Engineer

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. 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. Cerebras works with the leading 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. Responsibilities: 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 and standards such as SAML, OAuth2, OIDC, and SCIM. 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 service identity, secrets management, key management, authentication, and authorization. Partner across Security, Engineering, and Infrastructure teams to drive secure-by-design solutions, implement Zero Trust principles, and reduce operational friction. Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure. Write high-quality, reliable code, participate in architecture and code reviews, mentor engineers, and help raise the technical bar across the team. Support critical production systems and drive operat