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Added 1 month ago
D
Manager, Delivery & Innovation
Deloitte
Toronto, ON
- Full-time
Reporting to the Senior Manager, Market Insight, you will lead the integrated delivery and evolution of Market Sensing & Intelligence’s client and market intelligence portfolio.
Added 1 month ago
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Senior Manager, AdTech Engineering
Pelmorex
Oakville, ON
- Full-time
Strategic Leadership & Multi-Team Management: Lead, mentor, and scale multiple engineering teams across Front-End, Data Engineering, and Platform Integration domains, driving career…
Added 1 month ago
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Engineering Manager, Data
Robinhood
Toronto, ON
- Full-time
As the Engineering Manager for our Toronto Data Engineering team, you will lead a team of exceptional engineers and drive the execution of key data initiatives. In this role, you will…
Added 1 month ago
C
Staff Generative AI Engineer - Vice President
Citi
Mississauga, ON
- Full-time
Architect & Build Production Systems: Lead the hands-on development of sophisticated Generative AI applications, LLM-powered solutions, and intricate agentic frameworks primarily using…
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
RA
IT Project Manager (Risk / Audit / Governance)
Recrute Action
Toronto, ON
- Contract
Lead development teams in delivering software solutions that meet business needs.
Added 1 month ago
IE
FP&A Analyst, Commercial
Index Exchange
Toronto, ON
- Full-time
…internal systems and reporting tools, including Looker, SQL, Python, Confluence, and…
Added 1 month ago
VP, Quantitative Research (Public Affairs/Online Communities)
Ipsos
Toronto, ON
Lead the design of complex research and advisory engagements that address critical client business challenges and contribute to business growth.
Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.
Added 1 month ago
C
Staff GPU Inference SDET
Cerebras
Toronto, ON
- Full-time
As a Staff GPU Inference SDET, you will be the founding quality, reliability, and validation lead for a new GPU Inference Development team. Working closely with engineering leads and…
Added 1 month ago
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Sr./Staff TPM - Inference Capacity
Cerebras
Toronto, ON
- Full-time
We're looking for an experienced Technical Program Manager to lead capacity planning and fleet strategy for our Inference Service organization. This is a highly visible role working…
Added 1 month ago
TG
Python Analyst/Programmer
TMX Group
Montreal, QC
- Full-time
…will be involved in the design, implementation and support of Python business tools used by the Operation and Risk teams. As a member of the squad you will be part of its success and…
Added 1 month ago
Bioinformatics Support Specialist
National Research Council Canada
Halifax, NS
Working under the direction of a Team Lead, the Bioinformatics Support Specialist will contribute to the development and validation of genomic platforms, including zebrafish transcriptomics…
Added 1 month ago
KM
Senior Data Engineer – Ingénieur des données
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Has the title implied, the candidate is a data engineer meaning he is a full fledge experienced developer very solid in both Python and Spark
Added 1 month ago
KM
AI Engineer/Ingénieur(e) en intelligence artificielle
KPI Mining Solutions
Montréal-Ouest, QC
- Full-time
Develop and implement scalable AI workflows using Python, ML libraries, and Azure Machine Learning
Added 1 month ago
Manager of Data Engineering
Robinhood
Toronto, ON
As the Engineering Manager for our Toronto Data Engineering team, you will lead a team of exceptional engineers and drive the execution of key data initiatives. In this role, you will…
Added 1 month ago
I
Senior Designer, Optoelectronics
IMAX
Mississauga, ON · Sheridan Park
- Full-time
As a senior member of the Systems Engineering team, you will lead projects and critical technical activities involving the development and validation of complex optical and optoelectronic…
Added 1 month ago
TM
Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
- $80,000 to $95,000 CAD / year
- Full-time
…Engineering Manager, Project Management, the program DRE or Technical Lead, and cross-functional teams to deliver program…
Added 1 month ago
TM
Senior Product Development Engineering Specialist
Trudell Medical International
Waterloo, ON
- $105,000 to $125,000 CAD / year
- Full-time
Working closely with the Engineering Manager, Project Management, the program DRE or Technical Lead, and cross-functional teams, the successful candidate will help develop and mature…
Added 1 month ago
AW
Manager, Data Transformation
Arterra Wines Canada
Mississauga, ON
- Full-time
Lead day-to-day data ingestion processes to ensure accurate, timely, and reliable reporting for business users
Added 1 month ago
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Développeur Responsable technique Skywise / Skywise tech lead developer
Airbus
Montreal, QC · Mirabel, QC
- Full-time
Vous avez une maîtrise démontrée des langages Python, JavaScript et SQL (une expérience avec PySpark est un plus);
Added 1 month ago
AM
AI Platform Engineering Lead
AGF Management
Toronto, ON
- Full-time
The AI Platform Engineering Lead is the senior technical authority for how AI is built at AGF. Reporting to the VP, Technology Services, the role defines the blueprints that AI solutions…
Added 1 month ago
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Project Manager - IT II
Robertson & Company Ltd.
Toronto, ON
- Contract
Lead teams of developers in the delivery of high-quality software solutions that meet business needs
Added 1 month ago
XS
Software Developer / Développeur(euse) logiciel
Xona Space Systems
Montreal, QC
- Full-time
Experience with C and Python coding languages
Added 1 month ago
TM
Product Development Engineering Specialist - Core Projects
Trudell Medical International
London, ON
- $80,000 to $95,000 USD / year
- Full-time
With oversight from Senior, Principal Engineer or Product Development Project Lead, design mechanical or electromechanical solutions to support device design

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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