Staff Cloud Infrastructure Engineer
Cerebras Systems2 months ago
Responsibilities
- 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 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.