Find work in Canada.

321,804 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 6 mins ago
Senior Civil Engineer
GHD Group Pty Ltd
Vancouver, BC
…projects, ensuring technical accuracy and compliance. Delivers high-quality, client-focused technical solutions across civil projects such as roads, railroads, airports, bridges, dams,…
Added 1 hour ago
Network Engineer
ELITS
Mississauga, ON
Full-time
We are seeking a Senior RF Engineer to drive the planning, design, regulatory compliance, and quality oversight of advanced Radio Access Network deployments. Familiarity with Canadian…
Added 2 hours ago
Senior Physical Design Engineer
Ciena
Ottawa, ON
Full-time
…telecommunications industry. As a Digital ASIC Physical Implementation Engineer, you will play a critical role in developing large mixed-signal SoC ASICs targeting advanced technology…
Added 2 hours ago
Senior Data Engineer
TriMech
Oakville, ON
Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 4 hours ago
Engineer/Scientist (Piping and Mechanical Design) - New Brunswick
Kinectrics
Saint John, NB
Full-time
Position: Engineer/Scientist (Piping and Mechanical Design)
Added 4 hours ago
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 4 hours ago
Senior / Principal Geotechnical Engineer - Tailings, Mine Waste and Water Dams
Stantec
Markham, ON
Full-time
Stantec is seeking a Senior / Principal Geotechnical Engineer to support the growth of our Mining Geotechnical, Tailings and Dam Engineering practice in Ontario and across Canada. The…
Added 4 hours ago
Senior Integration Developer -C Business Intel
Trillium Health Partners
Mississauga, ON
Full-time
Position: Senior Business Intelligence Data Engineer
Added 4 hours ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Ensure code quality through automated testing and code reviews
Added 4 hours ago
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 4 hours ago
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
Full-time
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 5 hours ago
Senior Electrical Engineer
Sunbelt Solomon
AB · Edmonton, AB
Full-time
Reporting to Project Manager, the Senior Engineer will be accountable for executing projects through sound engineering expertise and project management, engaging in relationship building…
Added 6 hours ago
Senior Elastic Engineer
Jolera
Remote, Canada
Full-time · Remote
The Senior Elastic Engineer leads the design, optimization, and strategic evolution of Elastic environments that support advanced security and observability use cases. This role combines…
Added 6 hours ago
Senior Project Director, Nuclear
Worley
Markham, ON
Full-time
Worley is seeking an accomplished Senior Project Director to support the pursuit, development, and delivery of a major nuclear project in Canada.
Added 6 hours ago
Senior Project Director, Nuclear
Worley
Oakville, ON
Full-time
Worley is seeking an accomplished Senior Project Director to support the pursuit, development, and delivery of a major nuclear project in Canada.
Added 6 hours ago
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…
Added 7 hours ago
Senior Instrumentation Technologist/Engineer
Cornerstone Engineering Ltd.
Calgary, AB
Full-time
Provide mentorship and training to junior engineering technologists, sharing knowledge and best practices to support their professional development and ensure high-quality deliverables.
Added 8 hours ago
Mechanical Engineer IV
CRB
Mississauga, ON
$130,000 to $165,000 CAD / year
Full-time
Leads advanced project system design programming and master planning with support from Senior Engineer.
Added 8 hours ago
Mechanical Engineer IV
CRB
Mississauga, ON
$130,000 to $165,000 CAD / year
Full-time
Leads advanced project system design programming and master planning with support from Senior Engineer.
Added 9 hours ago
Senior Data Engineer
TriMech
Oakville, ON
Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 10 hours ago
Ingénieur(e) de structure / Structural Engineer
Primero Group
Montreal, QC
The Structural Engineer will be responsible for the design of steel and concrete structures and foundations in accordance with project requirements, working under the supervision of the…
Added 10 hours ago
Principal Mechanical Engineer (Canada or USA)
Primero Group
Canada
As a Principal Mechanical Engineer, you will act as the technical expert for mechanical engineering within Primero. You will be responsible for leading and reviewing complex mechanical…
Added 10 hours ago
Ingénieur mécanique senior - Senior mechanical engineer
AJ Walter Aviation
Montreal, QC
Full-time
The position holder will be able to deliver advanced and innovative engineering solutions to support engineering-level operations while reducing costs and improving the reliability of our…
Added 13 hours ago
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
Full-time
We're on the hunt for a top-tier Senior Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing…
Added 16 hours ago
Senior QA Engineer – Mobile Testing (Field Mobility)
W3Global
Canada
Full-time
Senior QA Engineer - Mobile Testing (Field Mobility)

Wealthsimple Technologies

Senior Software Developer, ML Platform & Infrastructure

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

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 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

Report this job