Cloud Infrastructure Engineer
Cerebras is hiring a Cloud Infrastructure Engineer for a remote role open to applicants in United States. Level rates it ; you can apply on Cerebras.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions OpenAI, AWS and Terraform among its tools and skills.
- Level classes it as a senior role.
- Cerebras has 121 other open roles on Level.
AI in this role
Designs and operates secure cloud infrastructure, identity platforms, and access controls supporting high-speed AI chip workloads.
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:
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.
Skills & 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.
Preferred Skills & Qualifications
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.
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:
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.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
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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How we rate this
Cloud Infrastructure Engineer at Cerebras rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a research question you investigated. What did you find?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where identity management was part of your work. What did you do?
- Tell me about a project where iam was part of your work. What did you do?
- Tell me about a project where security engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI Research, Cloud Infrastructure, Identity Management, Iam, and Security Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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