Jobs in Canada

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Added 2 months ago
CI
AI Enginering Technical Lead (Permanent)
CoreFactor Inc.
Toronto, ON
- Full-time
Lead the integration design efforts for GenAI solutions for contact center.
Added 3 months ago
JG
Oracle AI Architect
J&M Group
Toronto, ON
- Full-time
…frameworks.OCI Implementation: Architect end-to-end pipelines using OCI GenAI services| Data Science platforms| and Autonomous Database.Enterprise Integration: Develop seamless integrations…
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Create GenAI-based solutions to automate manual tasks and drive cost efficiency.
Added 2 months ago
Senior Python Developer
Ampliwork
Montreal, QC
Montreal, Canada: Hybrid - 2 days per week in the office · Candidates must be based in either Montreal or India
Added 2 months ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Proficiency in implementing solutions using Python, DL and agentic frameworks, and relevant tools,
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
Added 2 months ago
Software Development Engineer, Early Career - 2026
Amazon
Vancouver, BC
Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
Added 2 months ago
PC
Financial Instruments Valuation and Market Risk Manager
Pwc Canada
Toronto, ON
- Full-time
Assisting in the development of leading edge GenAI solutions that transform the delivery of these services, and provide GenAI advice to our clients
Added 2 months ago
PC
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
Pwc Canada
Montreal, QC
- Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 2 months ago
AI Application Security Architect
ACV
Toronto, ON
…servers, and autonomous agents, with guardrails that preserve developer velocity across an API-first engineering…
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite
Mont-Royal, QC
- Full-time
Must have strong analytical, problem solving skills, attention to detail, critical thinking ability, and creativity
Added 3 months ago
TH
Manager, Data Science (Askuity division)
The Home Depot Canada
Toronto, ON
- Full-time
3 days per week in our downtown Toronto office
Added 2 months ago
GS
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
- Full-time
Your work will directly support PDO’s mission to embed GenAI across our products and improve operational excellence, contributing to Guidewire’s broader goal of transforming how the world’s…
Added 3 months ago
TT
AI/ML Engineer
TC Transcontinental
Mississauga, ON
- Full-time
Added 3 months ago
A
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
- Full-time
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
Must have strong analytical, problem solving skills, attention to detail, critical thinking ability, and creativity
Added 3 months ago
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Senior Manager Data Engineering
BMO
Toronto, ON · SCC
- Full-time
Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
…development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a…
Added 3 months ago
P
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 3 months ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON
- Full-time
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Added 4 months ago
M
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 4 months ago
M
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
- Remote
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
Added 2 months ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 2 months ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…

AutoTrader.ca

Senior Platform Engineer

Toronto, ON, Canada

The base salary range for this position is: $130,000 CAD - $160,000 CAD · Full-time

Apply on LinkedIn About employer

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Job details

Pay: The base salary range for this position is: $130,000 CAD - $160,000 CAD
Job type: Full-time
Experience: Senior-level experience (typically 5+ years) building and operating infrastructure or platform products.
Posting language: English
Posted: Jul 27, 2026

Original job description

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.

AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits. Through AutoSync, we provide software solutions to 3,500+ dealers, streamlining their operations, marketing, and sales. Dealertrack Canada is the country’s top automotive financing portal, processing more than 6.5 million credit applications each year. Collateral Management (CMS) is a national tech solution that boosts lien and registration services, recovery services, and insolvency management solutions for Canadian Lenders

As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.

Join us on our journey as we bring together the best of Europe and North America to shape the future of automotive retail.

About the role

Join our Platform Engineering team at AutoScout24 Group / Trader Corporation. We build the internal platform that 600+ developers rely on to ship software quickly and safely: centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest in self-service and a product mindset so a small team can have a big impact.

A big part of that today is making developers more productive with AI, and we're already deep in it. We've driven AI tooling adoption across the company and we're building out the platform behind it: secure managed environments for AI coding tools, AI-assisted CI (automated PR reviews, fixes for failing builds), agentic workflows on AWS (Bedrock, Agent Core), and MCP-based integrations. The AI is the means, not the end. What we care about is a faster, smoother day-to-day for every engineer, and AI is the biggest lever we have.

We're looking for a senior platform engineer who already works fluently with modern AI tooling and uses it to move fast. You reach for Claude, Codex, and agents to get real work shipped, and you'd rather build something and learn from it than research it forever. You bring solid infrastructure and AWS fundamentals, product thinking, and the communication skills to own a topic, plan it, and bring people with you.

What you'll do...

Build and operate the internal AI platform: secure AI coding environments, AI in CI/CD, agentic workflows on AWS (Bedrock / Agent Core), and reusable building blocks teams adopt by default.
Own products end to end. You design, build, run, and improve them with a product mindset, treating fellow engineers as your customers and shaping interfaces that are genuinely easy to build with.
Start from the developer's day. You figure out where the real friction is, decide what would actually make their work easier, and measure whether people adopt it once it ships.
Take ownership of a topic, plan the work, drive it to done, and keep stakeholders in the loop.
Set the bar for how we build with AI. You turn an interesting idea into tooling people can actually rely on, and you bring the rest of the team along with you.
Shape architecture and technology choices for our platform foundations (Kubernetes, CI/CD, IaC on AWS) and for the AI capabilities on top, and say what you think in technical discussions.
Keep the platform reliable, secure, observable, and cost-aware. You'll join the on-call rotation and help troubleshoot production incidents.
Capture reusable patterns, templates, and blueprints so the whole organization moves faster.

What you need to succeed...

Senior-level experience (typically 5+ years) building and operating infrastructure or platform products.
Hands-on GenAI experience. You've built with LLM APIs, tool/function calling, retrieval, agents, or agent frameworks and put them into real workflows.
Modern AI coding tools (e.g. Claude Code, Codex) are part of how you work day to day.
Strong AWS fundamentals and a genuine appreciation for Infrastructure as Code and Pipeline as Code.
A real feel for developer experience. You can look at a feature and tell whether it'll make a developer's life easier or just add another thing to learn, because you've lived that friction yourself.
Strong communication and collaboration. You work well in a team, share your opinions clearly, and can move a topic forward with people across functions.
Solid engineering fundamentals: testing, debugging, code quality, and getting things ready for production.
Familiarity with SRE / DevOps principles and observability concepts (CloudWatch, Datadog, OpsGenie or similar).
You code well in at least one language, ideally Python, Go, or TypeScript.
A bias for shipping. You're comfortable taking something ambiguous and turning it into a working solution with sensible scope.

Why this team...

Platform Engineering sits at the center of how the company builds software, and the AI platform is the bet we're most excited about right now. You'll get real ownership, teammates who are already invested in AI, and the room to define how the whole organization builds with it. We use the tools we build.

At AutoScout24 / Trader we celebrate diversity as a strength. Our organization comprises 50+ nationalities working together inclusively and respectfully. If you want to shape how an entire engineering organization builds with AI, we'd love to hear from you.

What's in it for you...

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.

Benefits from Day 1

Gym discounts
Employee and Family Assistance program
Virtual wellness events
Conferences & training budget
Regular internal training programs

Financial planning

Let us help you invest in your future with 3% matching towards your pension and multiple forms of income protection.

For a career where you can drive our business and shape your future, apply now.

Compensation Our ranges reflect the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.

The base salary range for this position is: $130,000 CAD - $160,000 CAD

Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.

Vacancy Status: This job posting is for an existing vacancy.

Apply on LinkedIn About employer

More about this job

Responsibilities

Build and operate an internal AI platform including secure coding environments and agentic workflows on AWS. Design and maintain platform foundations such as Kubernetes and CI/CD to improve developer productivity and system reliability.

Requirements

Requires 5+ years of experience in platform engineering with hands-on expertise in GenAI, LLM APIs, and AWS fundamentals. Candidates must be proficient in Python, Go, or TypeScript and possess a strong bias for shipping production-ready solutions.

Skills

AWS
Kubernetes
Generative AI
Infrastructure as Code
CI/CD
Python
Go
TypeScript
LLM APIs
SRE
DevOps
Observability
Product Thinking
Developer Experience
Agentic Workflows
Bedrock

Benefits

Gym discounts
Employee and Family Assistance program
Virtual wellness events
Conferences & training budget
Regular internal training programs
Financial planning
Pension matching (3%)
Income protection

Visa sponsorship

Not detected in the job text

Keywords

AWS
Kubernetes
GenAI
LLM
Bedrock
Agent Core
Claude Code
Codex
CI/CD
Infrastructure as Code
Pipeline as Code
Python
Go
TypeScript
SRE
DevOps
CloudWatch
Datadog
OpsGenie
Observability
Developer Experience
Platform Engineering
Agentic Workflows
MCP
Retrieval
Function Calling
Automotive Retail
Product Mindset
On-call Rotation
Technical Architecture

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Work requirements

Jobs in Canada