Cloud Infrastructure Engineer

The role

This person will design, build, and operate secure, scalable cloud infrastructure and identity platforms in AWS and company data centers. They will develop automation and infrastructure-as-code solutions while implementing security controls for AI-powered systems.

What you will do

• Design, build, and operate secure, scalable cloud infrastructure and identity platforms in AWS and data centers.
• Implement and manage 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 with Security and Engineering teams to deliver secure-by-design solutions and implement Zero Trust principles.
• Write high-quality, reliable code and participate in architecture and code reviews.
• Support critical production systems and drive operational excellence.
• Be part of oncall and incident response of Dev Productivity org.

Required 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.
• 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.
• Excellent collaboration and communication skills.

Nice to have

• Hands-on experience with any Identity platforms - Okta, Microsoft Entra ID (Azure AD), and modern IAM/IGA platforms.
• Experiences with Azure and/or GCP is a bonus.

Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Enjoy job stability with startup vitality.
• 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.