Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
R
Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
This role is based in our Toronto, ON office(s), with in-person attendance expected 5 days per week
Added 1 month 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 1 month ago
B
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
- Full-time
…profitable use through a digital-first operating model, powered by data and AI-driven…
Added 1 month ago
B
Lead Android Engineer
Bankjoy
Remote, Canada
- Full-time
- Remote
Strictly adhere to security protocols when handling customer financial data
Added 1 month ago
S
Customer Success Manager - French
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 month ago
M
Applied AI Scientist
Mphasis
Canada
- Full-time
This is not primarily a conventional data science role, an LLM application-development role, or a prompt-engineering role. We are interested in people who want to understand how intelligent…
Added 1 month ago
JT
Murex Developer
Jobility Talent Solutions
Toronto, ON
- $90 to $110 CAD / hour
- Contract
We are looking for an experienced Murex Developer / Techno-Functional Engineer to support and enhance Murex-based Capital Markets and Investment Banking applications.
Added 1 month 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 1 month ago
CI
Acoustics Specialist – Project Manager
Cambium Inc.
Barrie, ON · Whitby, ON · Ottawa, ON · Kingston, ON · Peterborough, ON
- Full-time
…noise and vibration monitoring programs, acoustic modelling, data analysis, and the preparation of technical reports, regulatory applications, and mitigation recommendations. Working…
Added 1 month ago
C
Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our…
Added 1 month ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Added 1 month ago
C
ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Added 1 month 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 1 month ago
C
Senior FE Engineer - Inference Console
Cerebras
Toronto, ON
- Full-time
We’re hiring a Senior Frontend Engineer to own and scale critical parts of the Cerebras Developer Console - the primary interface developers and enterprises use to run and manage inference…
Added 1 month ago
C
FPGA Engineer
Cerebras
Toronto, ON
- Full-time
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Added 1 month ago
C
Staff Site Reliability Engineer – Automation and Platform
Cerebras
Toronto, ON
- Full-time
If you are a proven Staff+ engineer who enjoys turning complexity into elegant reliability at scale, this is your chance to lead this transformation from the front.
Added 1 month ago
C
Software Engineer - Host and Network IO
Cerebras
Toronto, ON
- Full-time
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Added 1 month ago
C
Senior SDET, Inference Platform
Cerebras
Toronto, ON
- Full-time
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Added 1 month ago
C
Staff Cloud Infrastructure Engineer
Cerebras
Toronto, ON
- Full-time
Drive the design and architecture of secure, scalable cloud infrastructure and identity platforms in AWS and our own data centers.
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
C
Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
We are looking for a Data Engineer that combines Data Engineering, platform architecture and management expertise. The Data Engineer will:
Added 1 month ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Azure certification (e.g., Azure AI Engineer Associate or Azure Data Scientist)
Added 1 month ago
C
Quality Assurance Automation Engineer
Capgemini
Mississauga, ON
- Full-time
We are seeking a highly skilled Software Development Engineer in Test (SDET) to join our Quality Engineering team. The ideal candidate will be responsible for designing, developing, and…
Added 1 month ago
TC
Big Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Design and develop Big Data pipelines using Spark and Scala to process large volumes of raw data stored in Hive/Hadoop.

Cerebras

Staff Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Full-time

Apply on LinkedIn 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.

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

Apply on LinkedIn About employer

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

Report this job

Work requirements

Jobs in Canada