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Added 1 month ago
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Marketing Engineer & Director of AEO
Notified
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Hands-on understanding of answer engine optimization, including LLM retrievability, entity authority, citation likelihood, semantic coverage, structured content, knowledge graphs, and…
Added 1 month ago
Senior Media Planner
WPP Media
Toronto, ON
…and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational…
Added 1 month ago
Sr. Solutions Architect | Architecte de solutions senior, Agentic WorkSpaces Canada
Amazon
Toronto, ON · Montreal, QC
The primary mandate is mastery of the Agentic WorkSpaces platform. You will architect, deploy, and optimize Virtual Desktop Infrastructure (VDI) and Desktop-as-a-Service (DaaS) solutions…
Added 1 month ago
UR
Senior AI Forward Deployment Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Continuously improve solution performance through prompt optimization, architectural enhancements, and user feedback.
Added 1 month ago
UR
Forward Deployed Developer
Urban Ridge Supplies
Toronto, ON
- Full-time
Design and implement agentic workflows within the platform, identifying opportunities to automate repeatable financial operations while ensuring secure and auditable API interactions.
Added 1 month ago
UR
Founding Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration.
Added 1 month ago
UR
Lead Agentic AI Engineer
Urban Ridge Supplies
Toronto, ON
- $98,000 to $138,000 CAD / year
- Full-time
…stronger financial future for the healthcare community. As a Lead Agentic AI Engineer, you will work directly with engineers, architects, security, governance , and business partners to…
Added 1 month ago
UR
Founding Forward Deployed Engineer
Urban Ridge Supplies
Toronto, ON
- Full-time
Deploy Autonomous Intelligence: Partner directly with our strategic enterprise customers to map complex L&D workflows, pin-pointing high-impact opportunities for agentic AI integration.
Added 1 month ago
UR
Principal AI Engineer
Urban Ridge Supplies
ON · York
- Full-time
Experience: 7+ years of professional software engineering experience, with 2+ years of dedicated experience shipping production-grade Generative AI, RAG, or Agentic features to end-users.
Added 1 month ago
UR
Lead Software Engineer, AI & Emerging Tech
Urban Ridge Supplies
Toronto, ON
- Full-time
…OpenAI, Gemini, Anthropic, Amazon Bedrock, LLM gateways, and agentic…
Added 1 month ago
QI
Forward Deployed AI Engineer
Qureos Inc
Toronto, ON
- Full-time
…their operational challenges, and build production-grade AI and agentic solutions that create measurable impact. This is a highly hands-on engineering role. You’ll work directly with…
Added 1 month ago
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Principal AI/ML Engineer
Vanguard
Toronto, ON
- Full-time
…AI, including Large Language Models (LLMs), Trustworthy AI, agentic systems, and emerging AI…
Added 1 month ago
Manager - Marketing Transformation & Loyalty
EY
Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
…lead exciting projects including marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
Senior Manager - Marketing Transformation & Loyalty
EY
Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
…of the following areas such as marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Senior Manager - Marketing Transformation & Loyalty
EY
Waterloo, ON
- Full-time
…of the following areas such as marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Manager - Marketing Transformation & Loyalty
EY
London, ON
- Full-time
…lead exciting projects including marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Senior Manager - Marketing Transformation & Loyalty
EY
Saint John, NB
- Full-time
…of the following areas such as marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
E
Manager - Marketing Transformation & Loyalty
EY
Saint John, NB
- Full-time
…lead exciting projects including marketing innovation and AI optimization, Martech, customer strategy and segmentation, brand management, communications, loyalty, customer engagement and…
Added 1 month ago
Director, AI Technology Delivery
BMO
Toronto, ON · YNG
Apply deep knowledge of generative AI and agentic systems, including LLM orchestration, tool use, retrieval-augmented generation, prompt and context engineering, evaluations, guardrails,…
Added 1 month ago
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Applied AI Scientist
Mphasis
Canada
- Full-time
Bring statistical and machine-learning judgment to agentic systems. Use probabilistic modelling, statistical inference, ML, optimization or causal reasoning when they make the system more…
Added 1 month ago
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Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
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Staff Software Engineer - Tools & Infrastructure / DevOps
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
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Full Stack LLM Engineer
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
C
FPGA Engineer
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…
Added 1 month ago
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Software Engineer - Host and Network IO
Cerebras
Toronto, ON
- Full-time
…real-time iteration and increasing intelligence via additional agentic…

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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