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Added 1 month ago
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ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or C++.
Added 1 month ago
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Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like…
Added 1 month ago
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Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or Go (experience with both is a plus).
Added 1 month ago
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Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Develop automation, integrations, and infrastructure-as-code solutions using Terraform and programming languages such as Python and Go.
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Engineer chaos engineering and fault-injection suites to simulate node failures, inter-node network degradation, GPU memory leaks, driver/firmware mismatches, and automated recovery paths…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are seeking an AI Engineer with deep technical expertise and a passion for cutting-edge innovation in artificial intelligence and machine learning. As part of our AI & Advanced Analytics…
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
Added 1 month ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 1 month ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
…carrying technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with…
Added 1 month ago
AM
Forward Deployed AI Engineer
AGF Management
Toronto, ON
- Full-time
The Forward Deployed AI Engineer is a hands-on technical expert responsible for partnering directly with business stakeholders to identify opportunities, design solutions, and build…
Added 1 month ago
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Sr Optical Firmware Integration Engineer
Nokia
Ottawa, ON
- Full-time
…coherent modules, conducting manual/auto testing. Enhance existing Python scripts and design new test cases script via fluent python coding…
Added 1 month ago
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Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
Trackforce is seeking an experienced and driven Senior Software Development Engineer in Test (Sr. SDET) to join our Engineering team. In this senior individual contributor role, you will be…
Added 1 month ago
OR
Data Engineer
OSL Retail Services Inc
Mississauga, ON
- Other
Reporting to the Manager, Data Systems, the Data Engineer is responsible for developing and maintaining business intelligence solutions, crafting, and executing queries up request for data…
Added 1 month ago
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Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
- $133,600 to $167,000 USD / year
- Full-time
- Remote
Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform - ingestion, pipelines, and the…
Added 1 month ago
TC
Monitoring Tool Automation Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Strong hands-on expertise in Python and PowerShell scripting/automation.
Added 1 month ago
MI
Engineer, Full Stack AI & SW
Magna International
Toronto, ON · Aurora, ON
- Full-time
Proficient in programming Python and object-oriented programming (OOP) principles.
Added 1 month ago
KS
ETL Testing
Kumaran Systems
Toronto, ON
- Full-time
We are looking for an ETL QA Engineer with strong experience in Databricks and PySpark, combined with hands-on exposure to AI-assisted development and prompt engineering. The ideal…
Added 1 month ago
GT
Senior Software Engineer
Grove Talent
Canada
- Full-time
Senior Software Engineer – Legal Applications (AI-First)
Added 1 month ago
Staff DevOps Developer
Visier Solutions Inc
Vancouver, BC
…how cloud infrastructure is designed, write production-grade Python application code, and build the Model Context Protocol (MCP) servers and RAG retrieval services that enable AI tools and…
Added 1 month ago
Technology Lead - Azure Databricks
Infosys
Canada
Infosys is seeking an Technology Lead - Azure Databricks - Data Engineer.
Added 1 month ago
BG
Data Architect
Brandt Group of Companies
Regina, SK
- Full-time
Brandt is seeking a highly skilled and motivated Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, implementing, and optimizing data…
Added 1 month ago
C
Développeur expert IA
CGI
Montreal, QC
- Full-time
Excellente maîtrise de Python et des bonnes pratiques de développement logiciel : tests, revue de code et gestion de versions.
Added 1 month ago
FN
QA Engineer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
We are hiring a QA Engineer, IT Applications & QA!
Added 1 month ago
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AI Computer Vision Engineer
AssistIQ
Remote, Canada
- Full-time
- Remote
As a Computer Vision/AI Engineer, you will be responsible for designing and developing reliable, maintainable, and scalable CV systems. In this role, you’ll apply computer vision and…

Cerebras

Staff Cloud Infrastructure Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Experience: 7+ years of experience in Cloud Infrastructure, Platform Engineering, Identity & Access Management, Identity Engineering, or Security Engineering.
Posting language: English
Posted: Sep 23, 2026

Original 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

About

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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More about this job

Responsibilities

Design, build, and operate secure, scalable cloud infrastructure and identity platforms across AWS and company data centers, including IAM, identity lifecycle, and security controls for AI-powered systems. Lead cross-team infrastructure initiatives, write and review reliable code, mentor engineers, and support production operations through on-call, incident response, and automation.

Requirements

Requires 7+ years of experience in cloud infrastructure, platform, identity, or security engineering, with a record of owning complex production systems at scale. Candidates should have strong IAM and federation protocol knowledge, hands-on AWS and Kubernetes experience, Python or Go and Terraform skills, and experience with Zero Trust, least privilege, compliance, and operational support.

Skills

Cloud Infrastructure
Identity And Access Management
Identity Governance And Administration
Authentication
Authorization
SAML
OAuth2
OIDC
SCIM
AWS
Kubernetes
Terraform
Python
Go
Zero Trust
Incident Response

Visa sponsorship

Not detected in the job text

Keywords

Cloud Infrastructure
Platform Engineering
Identity And Access Management
Identity Governance And Administration
AWS
Data Centers
SAML
OAuth2
OIDC
SCIM
RBAC
Terraform
Python
Go
Kubernetes
Zero Trust
Least Privilege
SOC 2
FedRAMP
ITAR
Okta
Microsoft Entra ID
Azure
Google Cloud Platform
Secrets Management
Key Management
Infrastructure As Code
Observability
Incident Response
AI Security

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