Jobs in Canada

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Added 12 hours ago
GS
Software Test Automation Architect
Guidewire Software, Inc. (US)
Toronto, ON
- Full-time
- Hybrid
As a Software Test Automation Architect, you will own the vision, design, and evolution of our test automation frameworks and quality tooling for Guidewire Cloud and our AI-augmented…
Added 12 hours ago
S
Senior AI Security Automation Engineer
SSB&T
Toronto, ON
- $120,000 to $217,500 CAD / year
- Full-time
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Senior AI Security Automation Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered…
Added 12 hours ago
CS
Sr. Manager, Technical Architect – Enterprise AI Solutions
Canadian Solar Inc.
Canada
- Full-time
- Hybrid
…development of scalable AI platforms, enterprise copilots, automation frameworks, and advanced analytics capabilities supporting Sales, Manufacturing, Supply Chain, Engineering, Finance,…
Added 12 hours ago
CI
Cloud Platform Engineer
CI Investments Inc.
York, ON
- Full-time
The Cloud Platform Engineer will work with a cross-functional team and will be responsible for designing and implementing re-usable frameworks, APIs, CI/CD pipelines, test automation,…
Added 12 hours ago
EC
Sr. Platform Engineer
Entrust Corporation
Ottawa, ON
- $108,000 to $158,000 CAD / year
- Full-time
Strong experience with Infrastructure as Code and automation frameworks such as Terraform, Ansible, PowerShell, Python, or equivalent tools.
Added 12 hours ago
E(
Cybersecurity Lead
EQ-S (Canada) Inc.
Kitchener, ON
- Full-time
- Hybrid
With our innovative SolBank lithium-iron phosphate battery technology and comprehensive project services, we’re not just building products we’re powering communities and making a difference…
Added 12 hours ago
TR
Senior Inference Engineer - AI
Thomson Reuters Applications Inc
Toronto, ON
- Full-time
- Hybrid
Partner with Cloud Engineers (Azure, AWS, GCP) to develop guardrails and automation that support inference workloads
Added 12 hours ago
Analyste de données en santé - Healthcare Data Analyst
TobogganLabs
Montréal, QC · Québec, QC
…matches your profile and availability, we'd love to connect with…
Added 12 hours ago
Technical Engineering Lead
Point Digital Finance, Inc. Canada
Canada
…direction and architecture across underwriting dashboards, automation frameworks, agentic workflows, and supporting services and…
Added 12 hours ago
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Technical Lead
ShyftLabs
Toronto, ON
- Full-time
- Hybrid
-Hybrid Flexibility: Enjoy a hybrid model with 4 days per week in our Toronto office
Added 12 hours ago
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Senior Backend Developer
ShyftLabs
Toronto, ON
- Full-time
- Hybrid
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office
Added 12 hours ago
Head of Anthropic Forward Deployed Engineering (FDE)
Lovelytics
Canada
…Modernization. All of it is delivered primarily on Databricks, with deep partnerships across AWS, Azure, and…
Added 12 hours ago
Staff Quality Engineer
StackAdapt
Canada
Deep, hands-on experience with API & UI test automation frameworks such as Playwright, Cypress, Jest, or Junit
Added 12 hours ago
Senior Quality Engineer
StackAdapt
Canada
At least 4 years of professional, hands-on test automation experience with API & UI test automation frameworks such as Playwright, Selenium, Cypress, Mocha, Jest or Junit
Added 12 hours ago
Senior People Scientist, Talent Management
StackAdapt
Canada
Comfort working with data and building reproducible analyses; SQL and/or Python knowledge is a strong asset, along with an aptitude for maintaining AI oversight and workflow automation.
Added 12 hours ago
Quality Engineer
StackAdapt
ON
2+ years of professional, hands-on test automation experience with API & UI test automation frameworks such as Playwright, Selenium, Cypress, Mocha, Jest or Junit
Added 12 hours ago
Automation Engineer, Agentic Orchestration
StackAdapt
Canada
An Automation Engineer with a focus on Agentic Orchestration focuses on seamlessly connecting AI capabilities, including orchestrated agent systems, with existing business processes and…
Added 12 hours ago
Senior Software Engineer - Python & AI
Nearform
Canada
Deep knowledge and experience with the Python language and modern AI frameworks.
Added 12 hours ago
CS
Staff GPU Inference SDET
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
Expert-level Python programming skills with extensive experience designing custom test automation frameworks, diagnostic tooling, and CI/CD integration.
Added 12 hours ago
CS
Senior Staff AWS Platform Engineer
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
- Strong automation and coding skills with Python or Go, along with Terraform or similar IaC technologies.
Added 12 hours ago
CS
AI Inference Core - Senior Senior Software Engineer for DevOps
Cerebras Systems
Toronto, ON
- Full-time
- Hybrid
These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources,…
Added 12 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 13 hours ago
M
Associate Software Developer
Miraterra
Toronto, ON
- Full-time
…geospatial tools, measures its chemical and physical properties with the Digitizer instrument, and combines that with the world's largest proprietary soil DNA library to capture a holistic…
Added 13 hours ago
A
Staff Software Engineer, Analytics and Reporting Solutions ⭐
Achievers
Toronto, ON
- Full-time
…work gets done. Our tech stack leverages microservices built with Python and Go, running on GCP and Kubernetes. We're creating smoother, smarter, and more delightful experiences for our…
Added 17 hours ago
C
Gen AI Architect (Hybrid)
Cognizant
Toronto, ON
- Full-time
Advanced hands-on proficiency with Python and modern software engineering practices for building APIs, automation solutions, orchestration frameworks, and data processing services.

Cerebras Systems

Senior SDET, Inference Platform

Toronto, ON, Canada

Hybrid

Full-time

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Job details

Job type: Full-time
Workplace: Hybrid
Experience: 3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
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.

About the Role

We are looking for an Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform. This team sits at the intersection of distributed systems, cloud and cluster infrastructure, and the software stack that serves the world's fastest AI inference.

In this role, you will own the quality and reliability of the infrastructure that deploys and runs the Cerebras Inference Platform - from CI/CD pipelines and Kubernetes-based deployments to ingress, load balancing, and service discovery. You will validate the platform both in cloud environments and on real Cerebras clusters, working side by side with the Inference Platform development team to catch issues before our customers do.

This is an excellent opportunity for engineers who enjoy infrastructure, automation, and debugging across the full deployment stack, and who want to ensure that a platform serving inference at massive scale stays fast, reliable, and production-ready.

Responsibilities

Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
Validate the platform across environments - from cloud-managed Kubernetes to deployments running on Cerebras hardware.
Test and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing.
Collaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably.
Investigate and debug complex issues spanning networking, orchestration, deployment, and distributed services.
Develop and maintain testbeds used to validate platform performance, scalability, and reliability.
Identify failure points, bottlenecks, and edge cases that impact platform stability and inference performance.
Contribute to test plans and validation strategies for new platform features and releases.
Improve observability, diagnostics, and debugging workflows across the inference platform stack.
Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.
Minimum Skills & Qualifications
3+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
Strong programming skills in Python and/or Go (experience with both is a plus).
Experience building automation tools, testing frameworks, or internal developer tooling.
Hands-on experience with CI/CD systems (e.g., Jenkins)
Experience debugging complex systems, distributed services, or networked infrastructure.
Familiarity with systems-level development, infrastructure tooling, or platform integration.
Strong problem-solving skills and the ability to investigate issues across multiple system and infrastructure layers.
Excellent communication and collaboration skills.
Experience mentoring junior engineers

Preferred Skills

Hands-on experience with Kubernetes and container orchestration in a real production or staging environment.
Experience with cloud-managed Kubernetes such as Amazon EKS.
Experience with GitOps/deployment tooling (e.g., ArgoCD).
Familiarity with ingress controllers, service discovery, NGINX, and load balancing.
Experience with build systems such as Bazel.
Experience with cluster tooling and operations (e.g., k9s).
Exposure to performance debugging, profiling, or system observability tools.
Experience with ML inference infrastructure, model serving systems, or GPU-accelerated workloads

Location: Toronto / Sunnyvale

Team: Inference Service Quality

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 Senior SDET at Cerebras Systems will build test infrastructure and automation that deploys and validates the inference platform. They will test Kubernetes workloads, CI/CD pipelines, ingress, load balancing and service discovery, and debug issues across the stack.

Requirements

Cerebras Systems needs candidates with 3+ years of software, QA, systems or infrastructure experience. They must write strong Python and/or Go, build test automation, work with CI/CD such as Jenkins, and debug distributed systems.

Skills

Python
Go
Kubernetes
Jenkins
CI/CD
test automation
test framework development
distributed systems debugging
ArgoCD
GitOps
NGINX
load balancing
ingress controllers
service discovery
Bazel
k9s
Amazon EKS
observability
performance profiling
ML inference infrastructure
model serving
GPU-accelerated workloads
test plan development
mentoring
cross-functional collaboration

Keywords

SDET
QA automation
Inference Platform
Python
Go
Kubernetes
CI/CD
Jenkins
ArgoCD
GitOps
NGINX
load balancing
ingress
service discovery
Bazel
k9s
Amazon EKS
GPU
model serving

Seniority

Senior

Tools

Kubernetes
Jenkins
ArgoCD
NGINX
Bazel
k9s
Amazon EKS

Languages

English

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Work requirements

Jobs in Canada