Cloud Infrastructure Engineer

About the role

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:

- Design, build, and operate secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.

- Implement and manage 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 with Security and Engineering teams to deliver secure-by-design solutions, implement Zero Trust principles, and reduce operational friction.

- Write high-quality, reliable code, participate in architecture and code reviews, support critical production systems, and drive operational excellence through scalability, resiliency, and automation.

- Be part of oncall and incident response of Dev Productivity org.

Skills & Qualifications

- 5+ years of experience in Cloud Infrastructure, Identity & Access Management (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 within AWS environments, with experience building and operating production level services on AWS.

- Experience working with container technology.

- Experience deploying and operating services on Kubernetes.

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

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

- An product and operational mindset with experience supporting and improving production level services through monitoring, troubleshooting, incident response, and automation.