Staff Cloud Infrastructure Engineer

Cerebras Systems; Lower Sackville; On-site; CAD 120,000 - 180,000; Full time

Job summary

Cerebras Systems is seeking a Senior Cloud Infrastructure & Identity Engineer to design secure, scalable platforms across AWS and private data centers. The role centers on IAM, SSO, MFA, and identity lifecycle management, with automation using Terraform, Python, and Go.

Responsibilities include implementing Zero Trust, RBAC, and security controls for AI-powered systems, collaborating across Security, Engineering, and Infrastructure teams, and mentoring engineers to raise the technical bar.

Qualifications

• 7+ years of experience in Cloud Infrastructure, Platform or Security Engineering.
• Experience designing and owning large-scale production infrastructure.
• Strong knowledge of authentication, authorization, identity lifecycle management, and federation protocols (SAML, OAuth2, OIDC, SCIM, RBAC).
• Hands-on AWS experience and operating production services.
• Experience with container tech and Kubernetes, plus automation using Python/Go and IaC like Terraform.
• Security-first mindset with Zero Trust, least-privilege access, and compliance frameworks.
• Ability to influence direction, drive cross-team initiatives, and mentor engineers.

Responsibilities

• Drive design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and data centers.
• Design and implement IAM, IGA, authentication, authorization, SSO, MFA, and provisioning/deprovisioning solutions.
• Develop automation and IaC using Terraform and Python/Go.
• Implement security controls for AI systems and contribute to core security services such as secrets management and key management.
• Collaborate across Security, Engineering, and Infrastructure teams to implement Zero Trust and reduce operational friction.
• Provide technical direction and lead cross-team initiatives to improve scalability, reliability, and developer experience.
• Write high-quality code, participate in reviews, and mentor engineers to raise the technical bar.
• Support production systems and drive observability, resiliency, and incident response.
• Participate in on-call for Developer Productivity initiatives.

Skills

Cloud Infrastructure

Platform Engineering

Identity & Access Management

Authentication & Authorization

RBAC

Terraform

Python

Go

Zero Trust

SOC2/FedRAMP/ITAR

Kubernetes

AWS

CI/CD

Tools

Okta

Azure AD

Azure

GCP

SAML

OAuth2

OIDC

SCIM

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 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. Members of our team tell us there are five main reasons they joined Cerebras:

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!

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.

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