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Added 23 days ago
H
Software Engineering Intern (Winter 2027)
Harvey
Remote, Canada
- $45 to $55 CAD / hour
- Internship
- Remote
As a Software Engineer, Intern (Winter 2027) on the Engineering team at Harvey, you’ll work alongside experienced engineers on projects that power our AI products. You’ll collaborate with…
Added 23 days ago
Security Engineer, AI Security
Amazon
Vancouver, BC
The Amazon AI Security team is looking for a Security Engineer to design security controls and help validate that our AI/ML services, applications, and emerging technologies are designed…
Added 23 days ago
Security Engineer, AI Security
Amazon
Vancouver, BC
The Amazon AI Security team is looking for a Security Engineer to design security controls and help validate that our AI/ML services, applications, and emerging technologies are designed…
Added 23 days ago
GS
Electrical Engineer/Designer
Grantek Systems Integration
Burlington, ON
- Full-time
The Electrical Engineer/Designer at Grantek is an exciting opportunity for an intermediate to senior-level professional with a strong background in electrical design and industrial control…
Added 23 days ago
KT
Mechanical Engineer
Kal Tire
Vernon, BC
- Full-time
Added 23 days ago
MT
Firmware Engineer Intern - BS/MS - 2027 Co-Op
Marvell Technology
Toronto, ON · CA-ON - Ontario - Toronto
- Full-time
Added 23 days ago
A
RevOps Specialist | Spécialiste, Opérations des revenus
Alvéole
Montreal, QC
- Full-time
…better. You’ll work closely with our RevOps Manager and GTM Engineer, with plenty of room to improve processes, automate repetitive work, and help us build smarter internal tools as our…
Added 23 days ago
GM
Android Software Developer – Infotainment OnStar
General Motors
Markham, ON
- Full-time
We are seeking creative, highly motivated engineer with passion and expertise in software engineering for the position of Android Software Developer – Infotainment OnStar within GM’s…
Added 23 days 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…
Added 23 days ago
S
Senior Geospatial Engineer
SkyWatch
Kitchener, ON
- Full-time
…GIS specialist in need of imagery for maps or workflows, a developer looking to build innovative solutions with our API, or a data provider seeking to sell to our user network, you can do…
Added 23 days ago
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Performance Engineer
Robertson & Company Ltd.
Mississauga, ON
- Contract
Robertson is seeking a skilled Performance Engineer to join our client in support of an existing vacancy.
Added 23 days ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 23 days ago
Energy and Decarbonization Engineer (Halifax, NS)
Siemens
Dartmouth, NS · Halifax, NS
…of decarbonization efforts. As an Energy and Decarbonization Engineer, you will have the opportunity to work closely with our customers and partners, helping them navigate the complex…
Added 23 days ago
Instrumentation and Control Engineer
BWXT
Peterborough, ON
We are looking for an Instrumentation and Control Engineer for our Peterborough, Ontario site. BWXT NEC's Fuel Handling and Engineered Solutions group is involved in the design,…
Added 23 days ago
UT
Performance Test Engineer #26-23967
US Tech Solutions
Mississauga, ON
- $60 to $70 USD / hour
- Contract
We are seeking an experienced Performance Engineer with strong expertise in end-to-end performance engineering and testing. The successful candidate will be responsible for evaluating,…
Added 23 days ago
A
MCP/AI Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
As an MCP/AI Developer you will build end-to-end features of that platform: MCP tools, agentic workflows, and the services behind them. You'll work hands-on across a modern, cloud-enabled…
Added 23 days ago
UI
Technical Project Coordinator
Umbrella Incorporated
Toronto, ON
- Full-time
The TPC will work with the Senior Technical Manager, Solutions Engineer, and Director of Technology and Special Projects. The Director leads overall project management and most customer…
Added 23 days ago
IG
Design Engineer
INKAS® Group
Toronto, ON · Greater Toronto Area, Canada
- $90,000 to $105,000 CAD / year
- Full-time
As a Design Engineer at INKAS® Armored Vehicle Manufacturing, you will be responsible for the development, refinement, and release of engineered components, assemblies, and systems used in…
Added 23 days ago
A
Senior Manufacturing Engineer – Mechanical Fabrication
Aplin
Niagara Falls, ON
- Full-time
…serving the nuclear industry to recruit a Senior Manufacturing Engineer – Mechanical Fabrication for its Niagara Falls, Ontario…
Added 23 days ago
E
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
Evinova
Mississauga, ON
- Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 23 days ago
CA
Principal CRM Developer
Condominium Authority of Ontario
Toronto, ON
- Full-time
Reporting to the VP, Technology & Application Development, the Principal CRM Developer is the senior hands-on engineer for the technology that powers the CAO's digital services, the…
Added 23 days ago
N
ASIC Verification Engineer
Nokia
Ottawa, ON
- Full-time
We are seeking an ASIC Verification Engineer with a solid ASIC/FPGA verification test strategy & development and debugging skills."The Network Infrastructure group is at the heart of a…
Added 23 days ago
N
Staff DSP ASIC Design Engineer
Nokia
Ottawa, ON
- Full-time
Added 23 days ago
Robotics Engineer - Edge Runtime, Physical AI Hub, Kitchener
Siemens
Kitchener, ON
We are seeking a Robotics Engineer - Edge Runtime to help build and optimize the edge software layer for the Physical AI Runtime. This engineer will work on edge development, robotics…
Added 23 days ago
Quality Assurance Engineer - Physical AI hub, Kitchener
Siemens
Kitchener, ON
We are seeking a QA / Test Automation Engineer to help validate the Physical AI Runtime across orchestration, harnessing, edge deployment, traceability, and hardware-in-the-loop scenarios.…

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.

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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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