Jobs in Canada

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Added 1 month ago
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Software Engineer III
LodgeLink
Calgary, AB
- Full-time
…contribute to the design, development, deployment, and support of cloud-native applications while working alongside software engineers, product managers, and engineering leaders. You'll…
Added 1 month ago
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Senior Full Stack Engineer (Azure Cloud Platform)
HCLTech
ON · Ontario, Canada
- $60 to $75 CAD / hour
- Contract
We are looking for a hands-on Senior Cloud-Native Full Stack Engineer to design, build, and support secure, scalable applications on Microsoft Azure. This role combines modern full-stack…
Added 1 month ago
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BB CI Flow Support
Ericsson
Ottawa, ON
- Full-time
Understanding of cloud native concepts, containerization technologies, and orchestration frameworks (asset)
Added 1 month ago
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Enterprise Architect - Microsoft Cloud & AI Development
TricorBraun
Burlington, ON
- Full-time
Experience supporting cloud-native applications, APIs, integrations, containers, serverless technologies, or data platforms.
Added 1 month ago
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Sr. Product Manager, Mobile App
Rivian and Volkswagen Group Technologies
Remote, Canada
- $96,800 to $128,260 CAD / year
- Full-time
- Remote
…next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the…
Added 1 month ago
Software Development Manager, Ring Cloud Connectivity Org
Amazon
Toronto, ON
- Experience with AWS services and cloud-native architectures at scale
Added 1 month ago
Software Development Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Mobile Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll build and deliver customer-facing mobile experiences that power…
Added 1 month ago
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Core Network as a Service Test Developer
Ericsson
Ottawa, ON
- Full-time
…core is delivered globally. We are building and delivering Cloud Native solutions “as a Service” on Hyper Cloud Providers…
Added 1 month ago
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Senior GenAI Software Developer
BMO
Toronto, ON · FCP
- Full-time
This is an exciting opportunity to work at the intersection of artificial intelligence, software engineering, cloud technologies, and business transformation. You'll collaborate with…
Added 1 month ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
…transforming CS from a manually operated, reactive model into an AI-native ecosystem that makes CS a growth driver and competitive advantage for…
Added 1 month ago
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Software Technical Leader
Cisco
Mississauga, ON
- Full-time
Cisco's Splunk Data Management organization owns the cloud-native services that help customers bring critical machine data into Splunk reliably, securely, and at scale. Our team builds and…
Added 1 month ago
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Full-Stack Java Developer (with DB & Cloud)
TMC Canada
Montreal, QC
- Full-time
…typically based on a microservices architecture and designed for cloud-native deployments. The standard technology stack includes PostgreSQL or MongoDB for data storage, Java (Spring Boot)…
Added 1 month ago
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Forward Deployed AI Engineer
AGF Investments
Toronto, ON
- $130,000 to $180,000 CAD / year
- Full-time
Added 1 month ago
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Data Migration Lead
SE Health
Markham, ON
- Contract
Added 1 month ago
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AI Platform Engineering Lead
AGF Investments
Toronto, ON
- $130,000 to $180,000 CAD / year
- Full-time
Own the engineer onboarding experience so that a new developer can be productive in days rather than weeks.
Added 1 month ago
2027 Intern Program, Technology Innovation - Future Opportunities
Bell
Montreal, QC
You are aligned with working in-person at a Toronto based Bell office location a minimum of 3 days per week · For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
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Senior Software Engineer - Full Stack - .NET
Bankjoy
Remote, Canada
- Full-time
- Remote
Strong knowledge of cloud hosting platforms (e.g., AWS, Azure, GCP) and cloud-native practices.
Added 1 month ago
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Full Stack Liferay Application Developer
McKesson
Montreal, QC · Mississauga, ON
- Full-time
For McKesson Canada: Employees are required to be in the office two (2) days per week, either in Ville Saint-Laurent, Quebec or Mississauga, Ontario
Added 1 month ago
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Développeur Full Stack Liferay
McKesson
Montreal, QC · Mississauga, ON
- Full-time
Added 1 month ago
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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 1 month ago
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Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
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ML Systems Integration Engineer
Cerebras
Toronto, ON
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
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Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 1 month ago
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Senior FE Engineer - Inference Console
Cerebras
Toronto, ON
- Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…

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.

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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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Work requirements

Jobs in Canada