Staff Cloud Infrastructure Engineer
Cerebras SystemsResponsibilities
- Design and architect secure, scalable cloud infrastructure and identity platforms across AWS and Cerebras data centers.
- Implement IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning solutions.
- Develop automation, integrations, and infrastructure-as-code using Terraform, Python, and Go.
- Implement security controls for AI-powered systems and contribute to service identity, secrets management, key management, authentication, and authorization services.
- Drive secure-by-design solutions, Zero Trust principles, and cross-team infrastructure initiatives.
- Improve infrastructure scalability, reliability, security, observability, automation, and developer experience.
- Write reliable code, participate in architecture and code reviews, mentor engineers, and raise the team’s technical bar.
- Support production systems and participate in on-call and incident response for the Developer Productivity organization.
Requirements
- 7+ years of experience in cloud infrastructure, platform engineering, identity and 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, federation protocols, and RBAC.
- Hands-on experience designing and operating identity and access controls and production services in AWS.
- Experience with containers and deploying and operating services on Kubernetes.
- Strong automation and coding skills with Python or Go and Terraform or similar infrastructure-as-code 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.
- Ability to influence technical direction, lead cross-team initiatives, and mentor engineers.
- Strong collaboration and communication skills.
- Preferred experience with Okta, Microsoft Entra ID (Azure AD), or modern IAM/IGA platforms.
- Experience with Azure and/or GCP is preferred.
Benefits
- Opportunity to build a breakthrough AI platform beyond GPU constraints.
- Opportunity to publish and open source cutting-edge AI research.
- Opportunity to work on one of the fastest AI supercomputers in the world.
- Job stability with startup vitality and a non-corporate work culture.
- Equal opportunity environment emphasizing inclusion, continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/