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Added 1 month ago
EA
Développeur.se de logiciels sénior.e - Intégration du jeu et fiabilité de la capture / Senior Software Developer - Game Integration & Capture Reliability
Electronic Arts (EA)
Montreal, QC
- Full-time
Python or similar scripting experience for build, test, and capture automation
Added 1 month ago
TL
Senior or Staff Software Engineer, Data Platform (Canada)
TRM Labs
Canada
- Full-time
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's…
Added 1 month ago
Senior/Staff Software Engineer
Toast
Canada
International: Scaling Toast’s core platform globally. You'll tackle localization, multi-currency architectures, international payment integrations, and regional compliance as we expand…
Added 1 month ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Design & engineer enhancements and upgrades to our existing IAM platforms. Produce enterprise-level designs to meet business, application and security requirements.
Added 1 month ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while…
Added 1 month ago
P
Data Integration Engineer
Prophix
Remote, Canada
- Full-time
- Remote
…confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher-value work instead of repetitive…
Added 1 month ago
G
Customer Engineering and Reliability
GoFleet
Mississauga, ON
- Full-time
…cameras, maintenance, compliance, asset monitoring, workflow automation, and business…
Added 1 month ago
L
Cybersecurity Engineer - Data and AI Security
lululemon
Vancouver, BC
- Full-time
As a Cybersecurity Engineer, you will own security engineering for specific systems and platforms, designing and implementing security controls that balance protection, performance, and…
Added 1 month ago
T
Engineer II - IAM Federation Services
TD
Toronto, ON
- Full-time
Design & engineer enhancements and upgrades to our existing IAM platforms. Produce enterprise-level designs to meet business, application and security requirements.
Added 1 month ago
P
Data Integration Engineer
Prophix
Toronto, ON · Etobicoke, ON
- Full-time
…confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher-value work instead of repetitive…
Added 1 month ago
AI
Forward Deployed AI Engineer
AGF Investments
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
GD
Copy of Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
Familiarity with test automation tools and integrating those into your development process
Added 1 month 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 1 month ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 month ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
Experience building automation frameworks, internal tooling, or test infrastructure
Added 1 month ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
Design and implement automated test automation frameworks, regression gates, and release qualification pipelines for the complete GPU inference stack - spanning custom API services,…
Added 1 month ago
H(
Senior Cloud Security Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
- $103,000 to $153,000 CAD / year
- Full-time
…future for the healthcare community. As a Senior Cloud Security Engineer, you will have the opportunity to influence technical decisions, challenge existing approaches, and help shape the…
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
T
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
C
Java Playwright Automation Engineer (Retirement/Pension Domain)
Cognizant
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
We are seeking a Java Playwright Automation Engineer with strong experience in Group Retirement and Wealth Management platforms. In this role, you will build and own the automated…
Added 1 month ago
Software QA Engineer
Infoblox
Burnaby, BC
2 years minimum experience in software quality assurance and test automation, with a record of increasing ownership and independent delivery
Added 1 month ago
E
QA Analyst
EXFO
Montreal, QC
- Full-time
…système avant de concevoir ou d’automatiser les scénarios de test. Ce rôle combine l’ingénierie logicielle, l’ingénierie de la qualité et les pratiques…
Added 1 month ago
SL
Lead AI Engineer
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
…retrieval-augmented generation (RAG) solutions, intelligent agents, automation workflows, and reusable AI platform capabilities. The ideal candidate has a proven record of taking complex…
Added 1 month ago
T
Software Engineer (Application Platform/Tech Lead)
TrustFlight
Vancouver, BC
- Full-time
Advocate for and implement quality-first engineering practices, including test automation and early validation of platform changes

Cerebras

Staff Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Full-time

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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.

This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.

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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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