Posted 2 months ago
Staff Cloud Infrastructure Engineer
@ Cerebras Systems
Toronto, Ontario
Overview
Cerebras Systems is hiring a Staff Cloud Infrastructure Engineer to design secure, scalable cloud infrastructure and identity platforms in AWS and its own data centers. The role covers IAM, SSO, MFA, provisioning, Zero Trust, AI agent security controls and on-call support, and the posting states a full-time position with 7+ years of experience required.
Responsibilities:
- Design secure, scalable cloud infrastructure and identity platforms in AWS and own data centers
- Implement IAM, IGA, SSO, MFA and provisioning solutions using SAML, OAuth2, OIDC and SCIM
- Build automation and infrastructure-as-code with Terraform, Python and Go
- Support on-call and incident response for Developer Productivity
Requirements summary:
- 7+ years in cloud infrastructure, platform or identity engineering
- Experience owning complex production systems at scale
- Hands-on AWS and Kubernetes experience
- Security-first mindset with Zero Trust and SOC2, FedRAMP or ITAR experience
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-09-01
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 7+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Cerebras Systems
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
The World's Fastest AI Inference
Full company description
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/
- LinkedIn followers
- 119,613
- People associated on LinkedIn
- 970
- Reported office locations
- 1237 E Arques Ave, Sunnyvale, California 94085, US
- 150 King St W, Toronto, Ontario M5H 1J9, CA
- Tokyo, JP
- Bangalore, IN
- Business categories
- Semiconductor
- Artificial Intelligence
- Software
- Hardware
- RISC
- Artificial Intelligence (AI)
- AI Infrastructure
- Computer
- Other recorded names
- Cerebras Systems
- Cerebras
- Specialties
- artificial intelligence
- deep learning
- natural language processing
- inference
- machine learning
- llm
- AI
- enterprise AI
- and fast inference
- Profile identifies a recruitment agency
- No
- Reported total investment
- 4,674,771,259
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the…
| Field | Value |
|---|---|
| Industry | Semiconductor Manufacturing |
| Company size | 501-1,000 employees |
| Headquarters | Sunnyvale, California |
| Organization type | Privately Held |
| Specialties | artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inference |
| Open jobs on Jobsy | 41 |
| View page |
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:
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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