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Cloud Infrastructure Engineer

Cerebras SystemsToronto, ON

About The Position

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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Requirements

  • 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.

Nice To Haves

  • 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.

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.

Benefits

  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.

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