Jobs in Canada

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Added 1 day ago
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Senior Software Engineer - Golang
Litmus
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
- Hybrid
We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection…
Added 1 day ago
Datacenter & Agentic AI Workload Performance Optimization Engineer
Tenstorrent
Toronto, ON
Tenstorrent is looking for a Workload Performance Optimization Engineer to help optimize the software workloads that run on our next-generation RISC-V platforms. You’ll work across modern…
Added 1 day ago
Field Deployment Engineer - Counter UAS
Axon
Canada
Guide customers in creating operational policies and workflows that integrate Dedrone systems with broader agency technology stacks, including Axon Evidence, body-worn cameras, and in-car…
Added 1 day ago
Principal FW/SW Engineer
Astera Labs
Toronto, ON
…software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business…
Added 1 day ago
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Site Reliability Engineer
Boson AI
Toronto, ON
- $125,000 to $250,000 CAD / year
- Full-time
- On-site
Boson AI builds production-grade AI systems that make communication with AI more natural, capable, and useful. We are looking for a Site Reliability Engineer to help build and operate the…
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
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation.
Added 1 day ago
CS
Sr. Data Center Network Provisioning Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
The Sr. Datacenter Provisioning Engineer will be responsible for provisioning, commissioning, and validating network infrastructure, servers, and related systems across large-scale data…
Added 1 day ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the…
Added 1 day ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
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 - Tools & Infrastructure / DevOps
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, GPU Inference
Cerebras Systems
Toronto, ON
- Full-time
- On-site
- Experience with Linux, containers, Kubernetes or comparable orchestration systems, observability, CI/CD, and operating latency-sensitive services in production.
Added 1 day ago
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Staff Software Engineer, Inference Infrastructure
Cohere
Toronto, ON · Montréal, QC
- $225,000 to $325,000 USD / year
- Full-time
- Hybrid
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for…
Added 1 day ago
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Ingénieur Plateforme/Platform Engineer
Actalent
Montreal, QC
- $75 to $85 CAD / hour
- Contract
We are seeking a Platform Engineer who can work closely with developers to build and maintain the Platform-as-Code framework for complex solutions. This role involves managing and…
Added 1 day ago
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Software Engineer, Cloud Platform
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
…You’ll turn manual cluster operations into reliable, repeatable systems - from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire…
Added 1 day ago
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Software Engineer, Cloud Platform
Baseten
Toronto, ON
- $165,000 to $330,000 CAD / year
- Full-time
…You’ll turn manual cluster operations into reliable, repeatable systems - from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire…
Added 1 day ago
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Software Engineer, Cloud Platform
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
…You’ll turn manual cluster operations into reliable, repeatable systems - from bringing new cloud providers online to rolling out configuration and upgrades safely across the entire…
Added 1 day ago
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Cloud Engineer
Spait Infotech
Canada
- Full-time
Added 1 day ago
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DevOps Engineer - AI Gateway
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Strong Linux systems administration skills, including networking, storage, performance troubleshooting, and server lifecycle management.
Added 1 day ago
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Staff Technical Support Engineer
Semtech
Richmond, BC · CAN - Richmond, BC
- Full-time
Strong Linux/Unix knowledge, including operating open-source systems
Added 1 day ago
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DEVOPS ENGINEER
Kablamo
Toronto, ON
- Full-time
We are looking for a DevOps Engineer as we expand our impact with new customers. This posting supports positions to start between November 2026 and February 2027.
Added 1 day ago
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C++ Software EEngineer
Actalent
Ottawa, ON
- $60 to $70 CAD / hour
- Contract
…software and test engineers working on advanced autonomous robotic systems. You work in a Linux-based development environment using modern C++ standards and Git for version control, with a…
Added 1 day ago
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Digital Customer Engineer
Teleperformance
Toronto, ON · TPCA Toronto
- $75,000 CAD / year
- Full-time
Experience: 5+ years as a Technical Sales Engineer in a cloud environment or a customer-facing role (Professional Services/Systems Engineering).
Added 1 day ago
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Linux and Open Source Platform Specialist
Bombardier
Dorval, QC
- Full-time
The Linux & Open Source Platform Specialist is responsible for the administration, implementation, technical evolution, and continuous improvement of enterprise Linux and open-source…
Added 1 day ago
HB
Junior Integration Engineer - Trading - $80,000-$150,000 CAD + Bonus
Hunter Bond
Montreal, QC
- $80,000 to $150,000 CAD / year
- Full-time
Skills: Linux, FIX, Onboarding, Python, C++, SQL

Cerebras Systems

Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Hybrid

Full-time

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Job details

Job type: Full-time
Workplace: Hybrid
Experience: 4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
Posting language: English
Posted: Jul 13, 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:

Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support 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 to support CI workloads, balancing cost efficiency with performance and reliability.
Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Contribute to the company’s efforts on AI tooling to boost engineering productivity efficiently.

Skills & Qualifications

4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
Familiarity with CICD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
Understanding of artifact repository management and software packaging concepts.
Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
Proficiency with distributed version control systems, code review processes, and repository management.
Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.
Experience with containerization and container orchestration (Kubernetes preferred).
Strong troubleshooting skills and a methodical approach to debugging distributed systems.
Curiosity about how large-scale infrastructure is built, operated, and improved.
Being part of oncall and incident response task force of Dev Productivity org.

Preferred Skills & Qualifications

Familiarity with infrastructure-as-code tools and practices.
Scripting proficiency in Python or Shell for build automation and tooling.
Exposure to build systems and build graph optimization.
Understanding of observability practices including monitoring, logging, and alerting.
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.

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

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

The DevOps engineer at Cerebras Systems will build and maintain the pipelines that build, test and release software, and manage artifacts and cloud infrastructure. The role also fixes build failures and improves developer tools and productivity.

Requirements

Candidates need 4 to 8 years in DevOps, infrastructure or software engineering, with hands-on CI/CD, cloud (AWS preferred), Linux and Kubernetes experience. Strong troubleshooting skills and participation in oncall are also expected.

Skills

CI/CD pipelines
Artifact repository management
Software packaging
AWS
Kubernetes
Docker
Git
Code review workflows
Linux/Unix
Networking fundamentals
Python
Shell scripting
Infrastructure as code
Build graph optimization
Monitoring
Logging
Alerting
Root-cause analysis
Troubleshooting distributed systems
Cloud resource provisioning
Build automation
Oncall and incident response

Keywords

DevOps
CI/CD
continuous integration
continuous delivery
artifact management
AWS
Kubernetes
containerization
Linux
Unix
Git
infrastructure as code
Python
Shell scripting
build systems
observability
monitoring
software engineering
developer productivity
incident response

Seniority

Mid level

Tools

AWS
Kubernetes
Linux
Python
Shell

Languages

English

Fields of study

Computer Science

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Work requirements

Jobs in Canada