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Added 10 mins ago
AI Solutions Architect
Mobility Global
London, ON
Full-time
Lead the team's architecture research and technology evaluation: conducts horizon scanning of emerging AI/ML techniques, architectures, and platforms; runs time-boxed validation prototypes…
Added 11 mins ago
Business Analyst
TMX Group
Toronto, ON
$120,000 to $130,000 CAD / year
Full-time
Global Enterprise Services (GES) is accountable for the operation of Canada's two systemically important clearing houses (CDS and CDCC) and, as a shared service organization for TMX, it…
Added 11 mins ago
Senior ServiceNow Architect - Strategic Portfolio Management
Bell
Montreal, QC
The role defines target-state architecture, translates business and portfolio strategy into scalable platform solutions, and provides architectural oversight across the solution lifecycle.…
Added 26 mins ago
Technical Staff Engineer-Applications
Microchip Technology Inc.
Burnaby, BC · Canada - Burnaby
Full-time
Lead customer platform enablement for Microchip Switchtec® PCIe® switch products, driving robust, system‑level solutions for next‑generation data‑center and AI platforms.
Added 40 mins ago
Senior Technical Architect
Salesforce Partner Canada
ON · Ontario, Canada
Full-time
…be serving as a strategic advisor and Salesforce product and platform expert to the company’s largest, most complex enterprise customers. Here are some salient responsibilities the role…
Added 40 mins ago
Power Platform & (Copilot AI)
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ON · Ontario, Canada
Full-time
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Added 40 mins ago
Senior Business Analyst - Payments Modernization
Kelly
Toronto, ON · Greater Toronto Area, Canada
Contract
We are seeking an experienced Senior Business Analyst to join a high-profile enterprise payments modernization initiative within a leading financial institution. This role will play a key…
Added 41 mins ago
Sr. Product & Design Operations Manager
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Toronto, ON
…detecting, diagnosing, and remediating issues, the PagerDuty Platform orchestrates AI agents and automated workflows with context from over 750 integrations. Trusted by approximately…
Added 1 hour ago
Senior Data Platform Administrator - EN 533
Export Development Canada | Exportation et développement Canada
Ottawa, ON
$96,557 to $128,743 CAD / year
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Added 1 hour ago
Technical Lead/Architect – AI & Power Platform
SharpAtoms
Calgary, AB
Contract
Job Title: Technology & Information Architectures - Enterprise Technology Architect / Technical Lead - AI-Driven Development & Power Platform
Added 1 hour ago
JAMS Platform Engineer
Apptoza Inc.
Toronto, ON
Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 1 hour ago
Engineering Manager, Customer Trust - Canada
Vanta
Remote, Canada
Full-time · Remote
…precision, at the intersection of agentic AI innovation and enterprise…
Added 1 hour ago
Business Development Rep - Canada
Appficiency
Mississauga, ON
Full-time
…business challenges through the intelligent application of enterprise software, automation, and AI. We're a proud Oracle NetSuite Alliance Partner; Salesforce Crest Partner; Microsoft Gold…
Added 2 hours ago
Revenue Marketing Program Manager / Gestionnaire des programmes de marketing des revenus
UKG
Canada
Full-time
…workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we…
Added 2 hours ago
Sr Customer Success Manager - Bilingual (French/English) / Gestionnaire principal de la réussite client - Bilingue (français/anglais)
UKG
Canada
Full-time
…workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That’s what we…
Added 2 hours ago
Senior Product Owner, Investment Platform - Tangerine
Tangerine
Toronto, ON
Full-time
The role will lead the development and execution of platform capabilities across areas such as self-directed investing, managed solutions, multi-currency accounts and foreign exchange,…
Added 2 hours ago
Manager, Data Science
TD
Toronto, ON
Full-time
Lead and mentor a team of Data Scientists, providing technical guidance, coaching, performance feedback, and career development support.
Added 2 hours ago
Cloud Video Specialist (Canada)
Motorola Solutions
Toronto, ON · ON
Full-time
…accelerate adoption of our Avigilon Alta cloud-native video security platform across Toronto and the broader Ontario territory. In this role, you will act as a primary territory hunter,…
Added 2 hours ago
AVP Dealer Transformation
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
Full-time
Sun Life is seeking an experienced and forward-thinking AVP, Dealer Transformation to lead the evolution of our Retail Wealth Platform and transformation strategy. This executive role will…
Added 2 hours ago
Regional Sales Manager - Western Canada
March Networks
Remote, Canada
Full-time · Remote
March Networks is a global enterprise video surveillance and video intelligence provider specializing in scalable, cloud-enabled solutions for organizations with complex, multi-site…
Added 2 hours ago
AI Adoption & Engagement Lead
Bell
Toronto, ON
…happen across all business units. The AI Adoption & Engagement Lead is responsible for driving the enterprise-wide adoption, engagement, and democratization of our AI platforms, promoting a…
Added 2 hours ago
Principal Software Engineering - Virtualization
General Motors
Markham, ON
Full-time
…team as the Staff Engineer of Software Engineering, Embedded Platform. As a Continuous Integration Developer (Architect Level), you will define the architecture, standards, and strategy for…
Added 2 hours ago
Business Analyst
TMX Group
Toronto, ON
$120,000 to $130,000 CAD / year
Full-time
Global Enterprise Services (GES) is accountable for the operation of Canada's two systemically important clearing houses (CDS and CDCC) and, as a shared service organization for TMX, it…
Added 2 hours ago
Data Operations Engineer
goeasy Ltd.
Mississauga, ON
Full-time
The Data Operations Engineer is responsible for supporting, maintaining, and continuously improving goeasy's enterprise data platform. This role focuses on ensuring the reliability,…
Added 2 hours ago
Senior AI Engineer / AI Agent Lead
Emplia
Montreal, QC
Full-time
Emplia is building an AI-powered workforce support platform designed to transform how employees interact with HR, Time & Attendance, Payroll, and other enterprise workforce systems.

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

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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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