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Added 13 days ago
HS
Site Reliability Engineer for Linux administration
Hyve Solutions
ON · Ontario, Canada
- Full-time
8. Write basic automation/scripts (Shell script; optionally Python, Ansible playbook) for routine tasks.
Added 13 days ago
RD
Ingénieur Systèmes de Combustion
Reaction Dynamics
Longueuil, QC
- Full-time
Expérience en calculs analytique et programmation scientifique (Python, Matlab, etc).
Added 13 days ago
R
Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
3+ years of experience as an engineering manager, with 5+ years of prior experience as a software engineer or data engineer.
Added 13 days ago
C
Staff Generative AI Engineer - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking an exceptional Staff Generative AI Engineer to join our team. This is a critical, deeply hands-on role for a seasoned software engineer with a profound passion for Generative…
Added 13 days ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
As a Principal AI & Cloud Engineer , you are a hands-on technical developer who designs, builds, and scales cloud-native AI solutions and products. You help set engineering standards,…
Added 13 days ago
Deployment Engineer
Rockstar
Toronto, ON
…Rockstar is partnering with the client to find a Deployment Engineer to help customers get live on the…
Added 14 days ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
Role Summary: As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform…
Added 14 days ago
JG
Senior DevSecOps & AI Engineer
J&M Group
Toronto, ON
- Contract
We are hiring for a Senior DevSecOps & AI Engineer. This role focuses on application security, DevSecOps, cloud security, and AI/LLM security across enterprise applications and platforms.
Added 14 days ago
M
Applied AI Scientist
Mphasis
Canada
- Full-time
…The objective is not to demonstrate how quickly you can type Python; it is to produce excellent…
Added 14 days ago
C
Staff Data Engineer
commonsku
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
As our team expands, we are looking for a Staff Data Engineer to partner with our Data team! In this position, you will architect and maintain a reliable, seamless, and high-impact…
Added 14 days ago
Développeur Logiciel Temps Réel C++ Hypersim / C++ Real Time Software Developer, Hypersim
OPAL-RT
Montreal, QC
Compétences requises : Expérience en langage de programmation : C++, Python ; Expérience avec la programmation multithreading ; Expérience avec Git
Added 14 days ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Added 14 days ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or C++.
Added 14 days ago
C
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 14 days ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Strong programming skills in Python and/or Go (experience with both is a plus).
Added 14 days ago
C
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 14 days ago
A
Développeur(euse) en géomatique / GIS Developer
AtkinsRéalis
Montreal, QC
- Full-time
Strong command of SQL in PostgreSQL; knowledge of Python, REST APIs, web services, and version-control practices is considered an asset.
Added 14 days 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 14 days ago
AW
Senior AI Engineer - AI Platform & ML Engineering
Aviso Wealth
Remote, Canada
- $135,000 to $150,000 CAD / year
- Full-time
- Remote
We’re looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI…
Added 14 days 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 14 days 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 14 days ago
A
Senior AI Engineer - AI Platform & ML Engineering IT-26-229
Aviso
Toronto, ON
- $135,000 to $150,000 CAD / year
- Full-time
We're looking for an AI Engineer, AI Platform & ML Engineering to join our Data & AI Technology Partners team. Reporting to the Sr. Director of Data Science and AI Enablement, the AI…
Added 14 days 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 14 days ago
M
Innovation Hub Solution Engineer - Application Development
Microsoft
Toronto, ON · Goodwood, ON
- Full-time
As an Innovation Hub Solution Engineer in the Microsoft Innovation Hub, with a focus on Application Innovation, you will merge business and technical requirements to craft comprehensive…
Added 14 days 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…

Cerebras

Staff Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
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

Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization.
Own and improve artifact lifecycle systems, including versioning, storage, distribution, dependency management, and reproducible builds at scale.
Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
Provision, monitor, and optimize cloud infrastructure supporting CI workloads, balancing cost, performance, scalability, and reliability.
Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing durable fixes.
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.
Contribute to the company’s efforts around AI tooling to improve engineering productivity and automate repetitive workflows.
Provide technical leadership across projects, influence engineering standards, and mentor other engineers within the Developer Productivity organization.
Participate in on-call and incident response for Developer Productivity systems and services.

Skills & Qualifications

7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure.
Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts.
Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management.
Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation.
Experience with containerization and container orchestration, with Kubernetes preferred.
Strong troubleshooting skills and the ability to debug complex distributed systems and infrastructure issues.
Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale.
Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues.
Experience operating production systems and participating in on-call, incident response, and postmortem processes.

Preferred Skills & Qualifications

Experience with infrastructure-as-code tools and practices.
Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
Experience with build systems, build graph optimization, or large-scale build infrastructure.
Experience with observability practices including monitoring, logging, alerting, and performance analysis.
Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure.
Experience applying AI/LLM tooling to engineering workflows or developer productivity.
BS/MS in Computer Science or a related field, or equivalent practical experience.

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, operate, and improve CI/CD pipelines, artifact lifecycle systems, cloud infrastructure, build and test systems, and developer tooling to increase reliability and engineering productivity. Lead cross-team infrastructure improvements, contribute to AI-enabled engineering workflows, mentor engineers, and participate in on-call and incident response.

Requirements

Requires 7+ years of relevant software, infrastructure, DevOps, or developer productivity experience, with hands-on expertise in CI/CD, artifact and dependency management, cloud infrastructure, version control, Linux/Unix, containers, and troubleshooting. Candidates should have a record of leading organization-wide technical improvements and operating production systems; experience with infrastructure as code, automation languages, build systems, observability, developer platforms, or AI/LLM tooling is preferred.

Skills

CI/CD
Build And Release Infrastructure
Artifact Management
Cloud Infrastructure
AWS
Infrastructure Provisioning
Version Control
Code Review Workflows
Linux/Unix
Networking
Automation
Kubernetes
Distributed Systems Troubleshooting
Infrastructure As Code
Python
Go

Visa sponsorship

Not detected in the job text

Keywords

CI/CD
Automated Build And Test
Release Workflows
Artifact Repositories
Artifact Lifecycle Management
Software Packaging
Dependency Management
Reproducible Builds
AWS
Cloud Infrastructure
Infrastructure Provisioning
Version Control
Code Review
Branching Strategies
Linux/Unix
Networking
Containerization
Kubernetes
Infrastructure As Code
Python
Go
Shell Scripting
Build Systems
Build Graph Optimization
Observability
Monitoring
Logging
Alerting
Developer Platforms
AI/LLM Tooling

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