Cloud Infrastructure Engineer
Cerebras· Software Engineering
Hybrid (Sunnyvale, CA), Hybrid (Toronto, CAN)Full-timePosted 3mo ago
About the role
Cloud Infrastructure Engineer at Cerebras Systems responsible for designing, building, and operating secure, scalable cloud infrastructure and identity platforms across AWS and Cerebras data centers, with a focus on IAM/IGA, security controls, automation, and incident response.
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.
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.
- Excellent collaboration and communication skills, with a proven ability to drive projects and influence technical decisions across teams.
Skills
Required:Cloud infrastructure design and operation
Benefits
- Not specified in description
Last updated Aug 30, 2026. Interested? Apply on the company site.
About Cerebras
Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.
Cerebras is the go-to platform for fast and effortless AI training.
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