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Added 18 hours ago
Tech Lead - Python
Nearform
Canada
Significant experience in software engineering and 2+ years of experience leading projects and mentoring as a Technical Lead. For this particular role, we are looking for professional…
Added 18 hours ago
Director, Solutions Architecture & Pre-Sales
Nearform
Canada
12+ years of technical leadership experience within software engineering, technical consulting, or pre-sales engineering in a digital agency or custom software consultancy environment.
Added 18 hours ago
Senior Software Engineer - Python & AI
Nearform
Canada
Significant experience delivering at a Senior Engineer level. Our Seniors typically have at least 8 years of commercial experience.
Added 18 hours ago
A
Account Manager (ex-construction)
Aphex
Toronto, ON
- Full-time
- Hybrid
…deep understanding of construction, eager to leverage their experience in a fast-moving and rewarding environment - and to help build something from the ground…
Added 18 hours ago
CS
AI Fleet Platform Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 18 hours ago
CS
ML Runtime and Kernel Engineer - Core ML
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 18 hours ago
CS
Software Engineer - Host and Network IO
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 18 hours ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 18 hours ago
CS
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Drive technical direction and cross-team initiatives that improve the scalability, reliability, security, and developer experience of our infrastructure.
Added 18 hours ago
CS
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
Added 18 hours ago
CS
Senior Backend Engineer, Inference Cloud
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Relevant experience includes cloud platforms, developer tools, billing and metering systems, identity and access management, observability, or high-volume data processing. Experience with…
Added 18 hours ago
CS
Cluster Operations Software Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing.
Added 18 hours ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Experience building internal developer platforms or self-service infrastructure products.
Added 18 hours ago
CS
Software Engineer - Tools & Infrastructure / DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 18 hours ago
CS
Senior SDET, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Experience building automation tools, testing frameworks, or internal developer tooling.
Added 18 hours ago
CS
Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
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…
Added 18 hours ago
CS
Applied Machine Learning Research Scientist
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- 4+ years of experience (including internships, research, or industry experience) working with machine learning systems; we are hiring multiple positions for various levels.
Added 18 hours ago
CS
ML Systems Performance Engineer
Cerebras Systems
Canada
- Full-time
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…
Added 18 hours ago
CS
Staff Software Engineer, Inference Platform
Cerebras Systems
Toronto, ON
- Full-time
- On-site
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…
Added 18 hours ago
CS
FPGA Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
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…
Added 18 hours ago
HC
Intern - Software/ML Engineer
Human Computer Lab
Toronto, ON
- Internship
- Hybrid
- Have experience with machine learning frameworks
Added 18 hours ago
Enterprise Account Executive - Federal
Appian Corporation
Ottawa, ON
Experience: 5+ years of direct software selling experience, featuring a minimum of 2 years as an Enterprise Account Executive.
Added 18 hours ago
C
Software Engineer, Security Agents
Cohere
Canada
- $215,000 to $325,000 USD / year
- Full-time
- Hybrid
- 5+ years of software engineering experience with a track record of shipping user-facing security features
Added 18 hours ago
C
Technical Program Manager, AI Delivery
Cohere
Canada
- $175,000 to $220,000 USD / year
- Full-time
- On-site
…curiosity, drive, independence, and leadership, who has hands-on experience working directly with customers and managing projects for enterprise-grade software or enterprise-focused machine…
Added 18 hours ago
C
Senior Member of Technical Staff, Safety and Security for Agents
Cohere
Toronto, ON · Montréal, QC
- $295,000 to $535,000 CAD / year
- Full-time
- Hybrid
…world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy…

Cerebras Systems

Software Engineer - Tools & Infrastructure / DevOps

Toronto, ON, Canada

Hybrid

Full-time

Apply on jobs.ashbyhq.com About employer

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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.

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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

Tools

AWS
Kubernetes
Linux
Python
Shell

Languages

English

Seniority

Mid level

Fields of study

Computer Science

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Jobs in Canada