Jobs in Canada

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Added 1 month ago
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AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll…
Added 1 month ago
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Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
- $165,000 to $200,000 CAD / year
- Full-time
- Remote
…AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking…
Added 1 month ago
MC
Senior DevOps Engineer
Modern Campus
Canada
- Full-time
Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS,…
Added 1 month ago
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Sr NetIQ Engineer (NetIQ OpenText)
CIBC
Toronto, ON · ON
- Full-time
The NetIQ Open Text Identity Manager Senior Engineer (NetIQ OpenText) is responsible for providing advanced technical expertise to support and resolve application and infrastructure issues…
Added 1 month ago
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Senior Software Engineer (L3)
Twilio
Remote, Canada
- Full-time
- Remote
Join the team as Twilio’s next Senior Software Engineer, L3.
Added 1 month ago
CS
Senior Research Engineer - Inference ML
Cerebras Systems
Canada
- Full-time
As a Senior Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras…
Added 1 month ago
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Senior Business Intelligence Engineer
Jobber
Remote, Canada
- Full-time
- Remote
Then Jobber might be the place for you! We’re looking for a Senior BI engineer to be part of our Data org.
Added 1 month ago
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Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Agent Factory is where Workday’s next chapter gets built. We’re forming small, senior, cross-functional AI teams that bring together product leaders, machine learning engineers, and…
Added 1 month ago
NS
Senior DevOps Engineer, AI Platform
Network Solutions
Canada
- Full-time
We are looking for a hands-on Senior DevOps Engineer to build and operate the infrastructure powering our AI platforms, agent runtimes, web applications, backend services, APIs, and shared…
Added 1 month ago
TC
Junior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
You must have a Bachelor's degree in Computer Science, Engineering, Data Science or equivalent practical experience
Added 1 month ago
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Sr Security Platform Engineer
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
The Senior Security Platform Engineer is responsible for designing, implementing, supporting, and continuously enhancing Sun Life’s enterprise cryptographic security platforms, including…
Added 1 month ago
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G12 / BB Senior Software Engineer, Performance & Scale
High Tech Genesis
Ottawa, ON
- Contract
We are hiring a Senior Software Engineer, Performance & Scale for an opportunity with one of our technology clients.
Added 1 month ago
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AI Infrastructure Engineer
Mission.dev
Canada
- Full-time
As a founding Senior AI Infrastructure Engineer, you will report to the Chief Technology Officer to design and operate large-scale infrastructure for AI workloads on public cloud and…
Added 1 month ago
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AI Fleet Platform Software Engineer
Cerebras
Toronto, ON
- Full-time
We are seeking a senior software engineer to build the platforms and tools that help our teams understand fleet health, respond to issues, and keep compute capacity available.
Added 1 month ago
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Ingénieur(e) logiciel iOS senior
CGI
Montreal, QC
- Full-time
Work arrangement: Hybrid – 3 days per week on-site
Added 1 month ago
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Cloud Engineer
TechDoQuest
Brampton, ON
- Contract
We are looking for a Senior Azure Data Engineer to design, develop, and optimize scalable data pipelines and cloud data solutions. The role focuses on data engineering, integration, and…
Added 1 month ago
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Senior Software Engineer, Site Reliability Engineering
Thumbtack
Remote, Canada
- Full-time
- Remote
Thumbtack's Site Reliability Engineering team focuses on creating and maintaining a reliable, secure, and scalable platform vital for a seamless user experience. As a key contributor, you…
Added 1 month ago
Senior Software Engineer
Spotify
Toronto, ON
Spotify is looking for a Senior Software Engineer to join the Authorization team within Platform. Our team builds and operates the authorization and permissioning systems that enable…
Added 1 month ago
DI
MLOps Engineer – Databricks (1896) $90-100hr
Direct IT Recruiting Inc.
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Hands-on Python coding, AI, machine learning, platform, or cloud engineering.
Added 1 month ago
MS
Senior DevOps Engineer
Motorola Solutions
Vancouver, BC
- Full-time
We are seeking a highly experienced and passionate Senior DevOps Engineer to join our team. In this pivotal role, you will be instrumental in evaluating, consolidating, and designing the…
Added 1 month ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Familiarity with cloud platform services such as Azure or AWS
Added 1 month ago
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Senior Platform Engineer, Vice President
State Street
Toronto, ON
- Full-time
As a Senior Platform Engineer, you will be responsible for driving the architecture and implementation of complex cloud & hybrid data solutions for all the customer teams at State Street in…
Added 1 month ago
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Senior AML IT Developer
TD
Toronto, ON
- Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
Added 1 month ago
AG
Senior Customer Engineer / Spécialiste technique client senior
Aduna Global
Montreal, QC
- Full-time
We are looking for a Senior Customer Engineer to join Aduna's Customer Engineering team, where Product, Engineering, customers, and CSPs come together to solve complex integration and…
Added 1 month ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique…

Wealthsimple Technologies

Senior Software Developer, ML Platform & Infrastructure

Toronto, ON, Canada

$152,000 to $189,000 CAD / year · Full-time

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Job details

Pay: $152,000 to $189,000 CAD / year
Job type: Full-time
Experience: 7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Posting language: English
Posted: Oct 2, 2026

Original job description

Build something people love

Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.

We're proud of what we've built - and we're just getting started. Read our Culture Manual and learn more about how we work.

ML Platform & Infrastructure Team

The Machine Learning Infrastructure & Platform team builds the foundational architecture powering AI and GenAI initiatives across Wealthsimple. We sit at the intersection of production MLOps and cutting-edge GenAI enablement.

As our AI footprint expands rapidly, our priority is evolving our robust MLOps foundations into a scalable, high-performance LLM serving and routing platform. We build self-serve systems that allow Data Scientists and Engineers to host open-source LLMs reliably, optimize inference latencies, manage GPU infrastructure, and benchmark model performance safely in production.

The Role

We are looking for an experienced MLOps or ML Platform Engineer who is excited to pivot their deep background in model orchestration, serving, and platform tooling toward solving the unique challenges of LLM inference and infrastructure.

In this role, you will bridge the gap between traditional MLOps (model lifecycles, pipeline orchestration, serving infrastructure) and modern GenAI stack requirements (vLLM, GPU cluster management, intelligent model routing, and automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems company-wide.

In this role, you will have the opportunity to:

Turn MLOps expertise to GenAI: Transition traditional ML lifecycle and serving patterns into state-of-the-art LLM inference engines and GPU orchestration systems.
Build model-routing architecture: Design low-latency routing frameworks (e.g., LiteLLM integration) to dynamically direct requests across managed cloud providers (AWS Bedrock) and self-hosted open-source models.
Provision & scale GPU infrastructure: Architect and manage high-performance GPU serving environments on Kubernetes using engines like vLLM, Ray, and Triton.
Develop evaluation & benchmarking tooling: Build automated Evals and observability frameworks to empower engineers and data scientists to validate model quality, latency, and drift against production requirements.
Empower self-serve ML across Wealthsimple: Partner with product engineering and data science teams to build framework-agnostic platform tooling that abstracts infrastructure complexity.
Drive cost & performance optimization: Improve price-performance across self-hosted and managed inference by optimizing capacity, utilization, batching, routing, and model selection while meeting quality and reliability objectives

We are looking for people who have:

7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Deep experience in MLOps/ML Platform practices: Proven track record building and operating self-serve ML platforms, model registry workflows, experiment tracking, or production serving infrastructure (Kubeflow, MLflow, Ray, Triton, SageMaker).
Strong platform fundamentals: Advanced proficiency in Python, container orchestration via Kubernetes, infrastructure-as-code (Terraform), and cloud provider ecosystem (AWS).
Strong appetite to specialize in LLM serving: A genuine desire to leverage your existing MLOps skillset to tackle LLM-specific challenges (vLLM, model routing, prompt engineering tooling, vector databases, GPU memory optimization, or LLM evaluation frameworks).
Backend performance & observability focus: Experience designing highly available, observable microservices (e.g., FastAPI) handling real-time, low-latency requests.
End-to-end technical ownership: Proven capability to lead architectural roadmaps, guide multi-functional projects with high autonomy, and maintain complex platform systems for the long run.

Nice-to-haves (or areas you will learn on the job):

Direct experience serving open-source Large Language Models in production (vLLM, SGLang, TensorRT-LLM, Dynamo).
Hands-on work with CUDA, GPU partitioning, or distributed inference frameworks (Ray Serve).
Familiarity with vector search and retrieval engines (Elasticsearch, Qdrant, Pinecone).

Our Stack Includes:

Container & Infrastructure: Kubernetes, Terraform, AWS GPU Infrastructure
ML Serving & LLM Tooling: vLLM, Ray, Triton, LiteLLM, AWS Bedrock, MLflow, SageMaker
Languages & Frameworks: Python, FastAPI, PyTorch
Data & Streaming: Kafka, Postgres, Redshift, Snowflake

Why Wealthsimple?

🌸 Top-tier health benefits and life insurance

📈 Long-term group savings with employer match, through Wealthsimple for Business

🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*

✈️ 90 days away: work outside Canada for up to 90 days per year*

👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS

🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.

*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.

ICYMI

Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work - whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.

Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know - we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.

AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Apply on jobs.ashbyhq.com About employer

More about this job

Responsibilities

You will build and scale foundational architecture for AI and GenAI initiatives, focusing on LLM inference engines and GPU orchestration. Additionally, you will develop self-serve platform tooling to empower data scientists and engineers to benchmark and deploy models reliably.

Requirements

The role requires 7+ years of software engineering experience in ML infrastructure, MLOps, or data platform engineering. Candidates must possess strong proficiency in Python, Kubernetes, and cloud infrastructure, along with a deep interest in LLM serving and performance optimization.

Skills

MLOps
Machine Learning Infrastructure
Python
Kubernetes
Terraform
AWS
vLLM
Ray
Triton
FastAPI
PyTorch
Model orchestration
GPU infrastructure
LLM inference
Observability
Data platform engineering

Benefits

Health benefits
Life insurance
Group savings with employer match
20 vacation days
4 wellness days
Unlimited sick days
Unlimited mental health days
90 days away program
Equity compensation

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning
GenAI
LLM
Infrastructure
Kubernetes
Terraform
AWS
Python
FastAPI
PyTorch
vLLM
Ray
Triton
LiteLLM
MLflow
SageMaker
Kafka
Postgres
Redshift
Snowflake
GPU
CUDA
Vector databases
Model routing
Observability
Microservices
Data platform
Inference
Benchmarking

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Jobs in Canada