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Added 22 days ago
EP
Client Director, Client Success
Engage People
Markham, ON
- Full-time
…report to the Vice President, Client Success or such other senior employee as may be designated by Engage’s management, and may have one or more direct and indirect…
Added 22 days ago
N
Automation Engineer Co-op/Intern
Nokia
Ottawa, ON
- Full-time
Currently enrolled in the third or fourth year of a bachelor’s degree or diploma in Computer/Software/Electrical Engineering, Information Technology, Computer Science, or related field with…
Added 22 days ago
HT
Senior Front-End / Full-Stack Engineer
High Tech Genesis
Ottawa, ON
- Contract
We are seeking a Senior Front-End / Full-Stack Engineer to build and enhance modern enterprise web applications. This role has a strong focus on React and modern front-end development, with…
Added 22 days ago
EP
Client Director, Client Success
Engage People Inc.
Markham, ON
- Full-time
…report to the Vice President, Client Success or such other senior employee as may be designated by Engage’s management, and may have one or more direct and indirect…
Added 22 days ago
T
Senior Manager, Data Science
TD
Toronto, ON
- Full-time
The Senior Manager, Data Science leads a specialized team of data professionals varying in size and complexity that are responsible for aiding to drive changes and improvement in business…
Added 22 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 22 days ago
RB
Manager, Capital Markets Performance Management
Royal Bank of Canada
Toronto, ON
- Full-time
…quarter-end reporting cycles, delivering commentary and insights to senior management, functional partners, in addition to supporting external reporting…
Added 22 days ago
RB
Senior Manager – DevOps/QE
Royal Bank of Canada
Mississauga, ON
- Full-time
As a Senior Manager of DevOps/QE, you will oversee the activities of DevOps/QE automation teams and members, developing, implementing, and maintaining a system of Quality Engineering at RBC…
Added 22 days ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
…off their careers at Grantek and have grown into successful senior team members who are integral to our client's manufacturing…
Added 22 days ago
Supply Chain Coordinator
BWXT
Cambridge, ON
…from other departments. In this role, you will support the Senior Supply Chain Coordinator as required, report to the Procurement Manager, work under the guidance of a Supply Chain…
Added 22 days ago
C
AI Product Owner Director
CIBC
Toronto, ON
- Full-time
Leadership Partnership – Collaborate with the Senior Director to report on portfolio progress, ROI realization, and capacity planning for leadership.
Added 22 days ago
Java + SQL + Angular Developer
NTT DATA Services
Toronto, ON
The Senior Applications Developer provides input and support for, and performs full systems life cycle management activities (e.g., analyses, technical requirements, design, coding,…
Added 22 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 22 days ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
7+ years of software engineering experience in ML Infrastructure, MLOps, ML Tooling, or Data Platform engineering.
Added 22 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 22 days ago
Marketing Planning Operations Manager
Avetta, LLC
Calgary, AB
This role also supports assigned process, planning, and project work and provides interim implementation and onboarding support for marketing software, including 1Mind.
Added 22 days ago
TM
Sr. Business Systems Analyst
Tokio Marine Canada Ltd.
Toronto, ON
- Full-time
…teams, vendor partners, and your peers, we are looking for a Senior Business Systems Analyst to join our IT…
Added 22 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 22 days ago
M
Senior Product Manager
Maple
Toronto, ON
- Full-time
As we continue to scale the delivery of care to Maple members, we’re looking for a Senior Product Manager to lead Maple’s provider experience - the product engine, supply-side tools, and…
Added 22 days ago
S
Sales Support Professional (15 - 20 Month contract term role)
Siemens
Oakville, ON
- $40 to $48 CAD / hour
Software Proficiency: Advanced competency with Microsoft Office Suite, particularly PowerPoint and Excel; ability to develop data-driven presentations and analytical models.
Added 22 days ago
Z
Senior Director, Client Partner
Zaelab
Remote, Canada
- Full-time
- Remote
We’re looking for a Senior Director, Client Partner to own and grow a portfolio of strategic enterprise clients representing approximately $15–20M in annual revenue.
Added 22 days ago
A
Account Executive
Appear
Toronto, ON
- Full-time
Search is shifting. When someone asks ChatGPT which law firm, clinic, or software to use, the brands that get cited win the business, and most companies have no idea whether they're showing…
Added 22 days ago
A
Manager or Senior Manager, Front Office Technology & Business Delivery
AIMCo
Calgary, AB · AB · Edmonton
- Full-time
We are seeking a Manager or Senior Manager, Front Office Technology & Business Delivery to join our Global Technology & Data team. Reporting to Front & Middle Office Technology leadership,…
Added 23 days ago
TC
Senior Developer - Java - Forgerock AM
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 23 days ago
CM
Senior Reservoir Simulation Scientist
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Calgary, AB
- Full-time
The Senior Reservoir Simulation Scientist will work as part of CMG’s CoFlow development team. CoFlow combines reservoir and production engineering simulation technologies to improve the…

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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