Staff Cloud Infrastructure Engineer

Engg; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cerebras Systems is seeking an experienced Cloud Infrastructure and Identity Engineer to design secure, scalable cloud infrastructure and IAM programs across AWS and private data centers. You will implement authentication, authorization, SSO, and lifecycle management while driving automation with Terraform and Python/Go.

Join a security‑focused team that champions Zero Trust, operates production services at scale in AWS, and collaborates across Security, Engineering, and Infrastructure to

Qualifications

• 7+ years in Cloud Infrastructure, Platform Engineering, Identity & 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, and federation protocols including SAML, OAuth2, OIDC, SCIM, and RBAC.
• Experience with IAM in AWS and operating production services on AWS.
• Experience with container technologies and deploying and operating services on Kubernetes.
• Strong automation and coding skills with Python or Go, plus Terraform or similar IaC.
• Security‑first mindset with Zero Trust and least‑privilege, plus compliance like SOC2/FedRAMP/ITAR.
• Strong platform mindset with monitoring, troubleshooting, incident response, and automation.
• Demonstrated ability to influence technical direction, drive cross‑team initiatives, and mentor engineers.
• Excellent collaboration and communication across teams and decision making.

Responsibilities

• Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
• Design and implement IAM, IGA, authentication, authorization, SSO, MFA, identity lifecycle management, and provisioning/deprovisioning using SAML, OAuth2, OIDC, SCIM.
• Develop automation and IaC solutions using Terraform and languages such as Python and Go.
• Design and implement security controls for AI-powered systems, including governance of agent workflows and core security services.
• Partner with Security, Engineering, and Infrastructure teams to drive secure-by-design solutions and Zero Trust.
• Drive technical direction and cross-team initiatives to improve scalability, reliability, security, and developer experience.
• Write high‑quality code, review architecture, mentor engineers, and raise the technical bar.
• Support production systems and improve observability, resiliency, and automation.
• Engage in on‑call and incident response for the Developer Productivity organization.

Skills

Cloud infrastructure

IAM & Identity Engineering

Automation & Coding (Python/Go)

Terraform / IaC

Kubernetes

Zero Trust

AWS

Security engineering

Cross-team influence

Mentoring engineers

Tools

Terraform

Kubernetes

Okta / Entra ID

AWS environment tooling

Job description

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 https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high‑speed inference.

Responsibilities

• Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
• Design and implement 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 across Security, Engineering, and Infrastructure teams to drive secure‑by‑design solutions, implement Zero Trust principles, and reduce operational friction.
• Drive technical direction and cross‑team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure.
• Write high‑quality, reliable code, participate in architecture and code reviews, mentor engineers, and help raise the technical bar across the team.
• Support critical production systems and drive operational excellence through scalability, resiliency, observability, and automation.
• Participate in on‑call and incident response for the Developer Productivity organization.

Skills & Qualifications

• 7+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & 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, and federation protocols including SAML, OAuth2, OIDC, SCIM, and RBAC.
• Experience designing and operating identity and access controls within AWS environments, with hands‑on experience building and operating production‑level services on AWS.
• Experience working with container technologies and deploying and operating services on Kubernetes.
• Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies.
• A security‑first mindset with experience implementing Zero Trust, least‑privilege access, and compliance frameworks such as SOC2, FedRAMP, or ITAR.
• A strong platform and operational mindset, with experience supporting and improving production services through monitoring, troubleshooting, incident response, and automation.
• Demonstrated ability to influence technical direction, drive cross‑team initiatives, and mentor other engineers.
• Excellent collaboration and communication skills, with a proven ability to work across teams and influence technical decisions.

Preferred Skills & Qualifications

• Hands‑on experience with identity platforms such as Okta, Microsoft Entra ID (Azure AD), or modern IAM/IGA platforms.
• Experience with Azure and/or GCP is a bonus.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business.

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

Find out more about what it's like to work at Cerebras here https://www.cerebras.ai/join-us!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

This website or its third‑party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.