Jobs in Canada

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Added 1 day ago
Senior Analyst, Inventory Operations
StackAdapt
Canada
…key supply partners. This role works closely with Product, Engineering, Revenue Operations, and external supply partners to ensure inventory health, supply quality, and analytical insights…
Added 1 day ago
Quality Engineer
StackAdapt
ON
Strong understanding of scalable system design for web-based APIs and backend processing systems
Added 1 day ago
Manager, IT Audit
StackAdapt
Canada
Active CISA (Certified Information Systems Auditor) certification required
Added 1 day ago
Automation Engineer, Agentic Orchestration
StackAdapt
Canada
…seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and enterprise applications. This role will leverage modern AI tools and…
Added 1 day ago
Art Director
StackAdapt
Canada
Collaborate with cross-functional teams including Creative Strategy, Production, Product, Engineering, and Data Science to advance the quality and capabilities of AI-powered creative.
Added 1 day ago
T
Senior/Staff Software Engineer, Backend
Terminal
Toronto, ON
- $185,000 to $285,000 CAD / year
- Full-time
- On-site
…platform underneath it all. It is a mix of product and backend engineering, shaping the APIs and deeper backend components our customers depend on. If you want to be three layers of…
Added 1 day ago
Solutions Engineer
AfterShip
Toronto, ON
Built for a global market from day one, AfterShip operates with an engineering-driven, internationally distributed team. The company employs more than 450 people across 8 offices, spanning…
Added 1 day ago
SecOps Developer
TextNow, Inc.
Waterloo, ON
Ensure Secure & Reliable Systems: Design, implement, and maintain security-focused infrastructure to protect TextNow’s services while ensuring reliability and scalability.
Added 1 day ago
Data Developer
TextNow, Inc.
Waterloo, ON
This role is about impact at scale. You’ll shape how TextNow builds and operates its systems in an AI-first environment where intelligent tooling is embedded into everyday engineering…
Added 1 day ago
Tech Lead - Python
Nearform
Canada
…enterprises to build breakthrough products and modernise legacy systems by unleashing the power of…
Added 1 day ago
Director, Solutions Architecture & Pre-Sales
Nearform
Canada
…enterprises to build breakthrough products and modernise legacy systems, with…
Added 1 day ago
Senior Software Engineer - Python & AI
Nearform
Canada
…enterprises to build breakthrough products and modernise legacy systems by unleashing the power of…
Added 1 day ago
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.NET Application and Solutions Architect - Assistant Vice President
iCapital
Toronto, ON
- Full-time
…the Core Architecture Team, partnering closely with Product, Engineering, and Implementation teams across the United States and Jaipur to drive cloud modernization, support client delivery,…
Added 1 day ago
CS
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 1 day ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 1 day ago
CS
Software Engineer - Host and Network IO
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 1 day ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…a new GPU Inference Development team. Working closely with engineering leads and cross-functional systems infrastructure teams, you will design, build, and scale the end-to-end release…
Added 1 day ago
CS
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 1 day ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
Added 1 day ago
CS
Senior Backend Engineer, Inference Cloud
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
…power Cerebras Inference Cloud. Your work will support the Developer Console and the broader backend systems that developers and enterprises rely on to access, manage, and operate inference…
Added 1 day ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 1 day ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras.
Added 1 day ago
CS
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Added 1 day ago
CS
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Added 1 day ago
CS
Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
- 3+ years of experience in software engineering, with experience building and operating large-scale distributed systems or cloud infrastructure.

Cerebras Systems

Staff Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Hybrid

Full-time

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Job details

Job type: Full-time
Workplace: Hybrid
Experience: 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Posting language: English
Posted: Sep 1, 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

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

The Staff Software Engineer at Cerebras Systems will build and improve the automated systems that test, package and release the company's software. They will also troubleshoot build failures, lead improvements to developer tools, and mentor other engineers.

Requirements

Candidates need 7+ years of software, infrastructure or DevOps experience, deep hands-on work with CI/CD systems, and experience with cloud platforms and Kubernetes. They also need strong troubleshooting, Linux and scripting skills, and experience leading initiatives across teams.

Skills

CI/CD systems
Build automation
Test automation
Artifact management
Software packaging
Dependency management
Reproducible builds
AWS
Kubernetes
Docker
Infrastructure as code
Git
Distributed version control
Code review workflows
Branching strategies
Linux/Unix
Networking fundamentals
Python
Go
Shell scripting
Monitoring
Logging
Alerting
Incident response
Root-cause analysis

Keywords

CI/CD
DevOps
developer productivity
build infrastructure
test infrastructure
artifact repository
dependency management
reproducible builds
AWS
Kubernetes
containerization
infrastructure as code
Git
code review
Linux
Python
Go
Shell
observability
on-call

Seniority

Senior

Tools

Kubernetes
AWS

Languages

English

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Work requirements

Jobs in Canada