Staff Cloud Infrastructure Engineer

The role

This person will drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and company data centers. They will develop automation, implement security controls for AI-powered systems, and support critical production systems.

What you will do

• 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.
• 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.
• Partner across Security, Engineering, and Infrastructure teams to drive secure-by-design solutions.
• Drive technical direction and cross-team initiatives to improve scalability, reliability, security, and developer experience.
• Write high-quality, reliable code, participate in architecture and code reviews, and mentor engineers.
• Support critical production systems and drive operational excellence.
• Participate in on-call and incident response for the Developer Productivity organization.

Required 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.
• 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.

Nice to have

• 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.

Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source their cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• Our simple, non-corporate work culture that respects individual beliefs.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.