Cloud Infrastructure Engineer
Cerebras Systems15 days ago
Responsibilities
- Design, build, and operate secure, scalable cloud infrastructure and identity platforms in AWS and Cerebras data centers.
- Implement IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning and deprovisioning solutions.
- Develop automation, integrations, and infrastructure-as-code using Terraform, Python, and Go.
- Design security controls for AI-powered systems and contribute to service identity, secrets management, key management, authentication, and authorization services.
- Partner with Security and Engineering teams on secure-by-design solutions, Zero Trust principles, and reduced operational friction.
- Write reliable code, participate in architecture and code reviews, support critical production systems, and improve scalability, resiliency, and automation.
- Participate in on-call duties and incident response for the Developer Productivity organization.
Requirements
- At least 5 years of experience in cloud infrastructure, IAM, identity engineering, or security engineering.
- 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 and production services in AWS environments.
- Experience with container technology and deploying and operating services on Kubernetes.
- Strong automation and coding skills with Python, Go, Terraform, or similar technologies.
- Experience implementing Zero Trust, least-privilege access, and compliance frameworks such as SOC2, FedRAMP, or ITAR.
- Experience supporting and improving production services through monitoring, troubleshooting, incident response, and automation.
- Strong collaboration and communication skills, including the ability to drive projects and influence technical decisions across teams.
- Hands-on experience with identity platforms such as Okta, Microsoft Entra ID (Azure AD), or modern IAM and IGA platforms is preferred.
- Experience with Azure and/or GCP is preferred.
Benefits
- Opportunity to build an AI platform beyond GPU constraints and work on a high-performance AI supercomputer.
- Opportunities to publish and open-source AI research.
- Job stability with startup vitality and a simple, non-corporate work culture.
- Equal and diverse work environment with continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.