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 https://openai.com/index/cerebras-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 operational excellence through scalability, resiliency, observability, and automation.

- Participate in on-call and incident response for the Developer Productivity organization.

Skills & Qualifications

- 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.

- Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies.

- A security-first mindset with experience implementing Zero Trust, least-privilege access, and compliance frameworks such as SOC2, FedRAMP, or ITAR.

- A strong platform and operational mindset, with experience supporting and improving production services through monitoring, troubleshooting, incident response, and automation.

- Demonstrated ability to influence technical direction, drive cross-team initiatives, and mentor other engineers.

- Excellent collaboration and communication skills, with a proven ability to work across teams and influence technical decisions.

Preferred Skills & Qualifications

- Hands-on experience with identity platforms such as Okta, Microsoft Entra ID (Azure AD), or modern IAM/IGA platforms.

- Experience with Azure and/or GCP is a bonus.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough arc …