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Added 1 month ago
UR
Senior Software Engineer- Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong written communication. You can write a clear design doc, explain a tradeoff to a non-engineer, and document decisions others will build against.
Added 1 month ago
UR
AI Platform Engineering Lead
Urban Ridge Supplies
Toronto, ON
- Full-time
…carrying technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with…
Added 1 month ago
UR
Lead Full-Stack GenAI Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
As a Lead Full-Stack GenAI Engineer , you will lead the hands-on delivery of secure Generative AI and agentic AI solutions from discovery and prototype through production deployment,…
Added 1 month ago
UR
Forward Deployment Engineer
Urban Ridge Supplies
Mississauga, ON
- Full-time
The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications.
Added 1 month ago
UR
Senior software engineer: Applied AI
Urban Ridge Supplies
Toronto, ON
- Full-time
Strong written communication. You can write a clear design doc, explain a tradeoff to a non-engineer, and document decisions others will build against.
Added 1 month ago
V
Mobile Application Developer
VAZA
Toronto, ON
- Full-time
Full Stack Mobile Software Engineer - VAZA (Consumer Platform)
Added 1 month ago
FN
UX Designer
First National Financial LP
Toronto, ON · East York, ON
- Full-time
Design user flows, information architecture, wireframes, prototypes, and production ready interaction specifications using Figma or comparable tools, from early concepts through detailed…
Added 1 month ago
M
Sr SAP SuccessFactors Engineer
MethodHub
Toronto, ON
- Contract
…excellent stakeholder management skills, and the ability to design scalable HR transformation…
Added 1 month ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Articulate complex, large-scale and high-impact technical design and development details to non-technical business partners.
Added 1 month ago
C
Software Technical Leader
Cisco
Fredericton, NB
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 1 month ago
C
Software Technical Leader
Cisco
Halifax, NS
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 1 month ago
C
Software Technical Leader
Cisco
Mississauga, ON
- Full-time
Senior Software Engineer - Cloud Data Ingestion Platform
Added 1 month ago
T
Data Engineer II - CPB Data Curation
TD
Toronto, ON
- Full-time
Articulate complex, large-scale and high-impact technical design and development details to non-technical business partners.
Added 1 month ago
FR
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
- Full-time
Fitch Group is currently seeking a Senior Service Reliability Engineer to embed with Fitch Ratings development squads in Toronto and to partner with developers across Chicago, London,…
Added 1 month ago
Site Reliability Engineer - OpenShift
Capgemini
Toronto, ON
Capgemini is looking for a Production support Engineer to work for the Commercial Line of Business. An ideal candidate should be the one that has experience as outlined below :-
Added 1 month ago
FA
Repair Development Engineer
FTAI Aviation LLC
Montreal, QC
- Full-time
Coordinate approvals with Designated Engineering Representatives (DER) and the design approval organization, and prepare the technical content each approval route requires.
Added 1 month ago
AI
AI Platform Engineering Lead
AGF Investments
Toronto, ON
- Full-time
…carrying technical leadership responsibility, intended for an engineer-architect who is energized by building a new capability from a blank page and who is comfortable making decisions with…
Added 1 month ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
Fitch Group is currently seeking a Senior Service Reliability Engineer to embed with Fitch Ratings development squads in Toronto and to partner with developers across Chicago, London,…
Added 1 month ago
GT
Staff Android Engineer (Founding)
Grow Therapy
Waterloo, ON
- $217,000 to $289,000 USD / year
- Full-time
…architecture, the developer experience, the first production release, and the systems every future Android engineer will build on. Android at Grow is greenfield, but you won't be starting…
Added 1 month ago
B
Lead Android Engineer
Bankjoy
Remote, Canada
- Full-time
- Remote
Define and enforce Android engineering standards across the team including code quality, testing practices, and release readiness
Added 1 month ago
L
Murex DevOps
Luxoft
Toronto, ON
- Full-time
Role Summary: As a DevOps Engineer, you will be responsible for designing, building, and operating automated platforms that enable reliable, secure, and scalable delivery of the MX platform…
Added 1 month ago
C
Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization.
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
…and cross-functional systems infrastructure teams, you will design, build, and scale the end-to-end release qualification and automated test ecosystem for our GPU inference stack and…
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
ME
R&D Mechanical Designer
MAD Elevator Inc
Mississauga, ON
- Up to $85,000 CAD / year
Design Accuracy: ≥95% drawing, model, and BOM accuracy with minimal post-release revisions.

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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