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Added 53 mins ago
M
Lead Solution Architect
Manulife
Toronto, ON · Waterloo, ON · Regina, SK · Vancouver, BC · Halifax, NS · Calgary, AB
- Full-time
The Lead Solution Architect is responsible for defining and driving technology architecture strategy across Group Benefits a major business segment within the Canadian business segment.…
Added 2 hours ago
C
ServiceNow Business System Architect
CGI
Toronto, ON
- Full-time
As a Senior ServiceNow Business System Architect, you'll responsible for the holistic design, direction and strategy of the enterprise ServiceNow platform. You will provide a technology…
Added 7 hours ago
SP
Senior Technical Architect
Salesforce Partner Canada
ON · Ontario, Canada
- Full-time
Salesforce Professional Services is looking for a Senior Technical Architect. You will be serving as a strategic advisor and Salesforce product and platform expert to the company’s largest,…
Added 7 hours ago
C
Technology Solutions Architect
Compucom
Toronto, ON
- Full-time
Compucom Systems, Inc. provides end-to-end IT managed services to enable the digital workplace for enterprise, midsize and small businesses. To enable our clients to focus on what matters…
Added 7 hours ago
C
Director, AI Engineering, Principal Product Scaler
CIBC
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Our AI team builds enterprise capabilities that support a wide range of users across the organization, from end users to technology teams and low-code or no-code builders. As a Principal…
Added 8 hours ago
GM
Principal Software Engineering - Virtualization
General Motors
Markham, ON
- Full-time
· Architect enterprise‑scale CI/CD systems for embedded, simulation, and cloud workloads.
Added 10 hours ago
FG
Web Application Developer
Flynn Group of Companies
Mississauga, ON
- $70,000 to $110,000 CAD / year
- Full-time
-Enterprise AI subscription (GitHub Copilot, Claude, or similar - your choice)
Added 11 hours ago
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Senior Enterprise Architect - Smart Cities & Emerging Technologies
TEKsystems
Calgary, AB
- $100 to $115 CAD / hour
- Contract
This is not a traditional Enterprise Architect role focused primarily on application portfolios, infrastructure architecture, governance reviews, or solution delivery.
Added 11 hours ago
A
Cloud DevOps Specialist
Accenture
Ottawa, ON · Montreal, QC
- Full-time
…pipeline discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a…
Added 11 hours ago
A
Cloud Enterprise Architect
Accenture
Ottawa, ON · Montreal, QC
- Full-time
A hands-on data consulting leader, a Solutions Architect who knows how to develop, design, and maintain Hybrid cloud-based data platforms on AWS, Azure or Google Cloud. You will own the…
Added 11 hours ago
A
Data Solutions Specialist
Accenture
Ottawa, ON · Montreal, QC
- Full-time
…pipeline discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a…
Added 11 hours ago
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Product Technical Lead
LCBO
Toronto, ON
- Full-time
Architect scalable technical solutions that meet defined business requirements and enhance operational efficiency across SAP Finance and Controlling (FICO), Concur, SAP Customer Activity…
Added 12 hours ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
…ownership of setting the technical direction for operating enterprise-grade LLM systems…
Added 14 hours ago
C
Sr. Consultant, Technology Architecture
CIBC
Toronto, ON
- Full-time
…consistency and alignment with business strategies and CIBC’s enterprise-wide architecture. You'll develop the architecture solutions and future state for the Capital Markets line of…
Added 16 hours ago
T
Full Stack Architect
TD
Toronto, ON
- Full-time
…data store to Mongo Atlas, the acceleration of the Sanctions program and the VCP initiative. To ensure we have the necessary capacity to support these critical initiatives and meet our…
Added 18 hours ago
Solutions Architect
Pomerleau
Montreal, QC
Reporting hierarchically to the Director of IT Operations and Information Security, and functionally to the Enterprise Architect for architecture direction, principles, and standards, the…
Added 20 hours ago
GC
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
- $110,000 to $150,000 CAD / year
- Full-time
…Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution…
Added 23 hours ago
K
Senior Consultant, Enterprise Performance Management - Anaplan, OneStream and Oracle
KPMG
ON · Toronto, Ontario
- Full-time
…finance’s role as a record-keeper and become performance and enterprise-focused, or true business partners. We are trusted advisors and leaders in budgeting, forecasting, consolidation,…
Added 1 day ago
M
Client Support Specialist
Meltwater
Toronto, ON
- Full-time
Monitors Enterprise support consumption within their portfolio and provides insights on key themes and challenges to the account Customer Success Executive (CSE) and/or Program Manager as…
Added 1 day ago
C
Architecte / Spécialiste senior Microsoft Fabric & Power BI – Modélisation sémantique
CGI
Montreal, QC
- Full-time
CGI is looking for a senior Microsoft Fabric and Power BI specialist to contribute to a major enterprise-scale data and analytics transformation program.
Added 1 day ago
A
Finance Data Systems Specialist, Finance Architecture
ATB
Edmonton, AB · Calgary, AB
- Full-time
As Finance Data Systems Specialist, you serve as a strategic architect of ATB’s financial data ecosystem. Reporting directly to the Director of Finance Architecture, you act as the vital…
Added 1 day ago
P
Architecte d’infrastructure avant la vente, surveillance des patients en milieu hospitalier (Est du Canada et Québec)/Pre-Sales Infrastructure Architect, Hospital Patient Monitoring (Eastern Canada & Quebec)
Philips
Montreal, QC · Quebec, QC
- Full-time
Added 1 day ago
Senior Product Manager - Developer Productivity
Okta
Toronto, ON
…bottom-up discovery (dozens of engineer, EM, tech lead, and architect interviews), baseline dev-cycle metrics, and secure tooling budgets with rigorous, ROI-driven business…
Added 1 day ago
AF
Finance Data Systems Specialist, Finance Architecture
ATB Financial
Calgary, AB
- Full-time
As Finance Data Systems Specialist, you serve as a strategic architect of ATB’s financial data ecosystem. Reporting directly to the Director of Finance Architecture, you act as the vital…
Added 1 day ago
SP
Solution Architect / Senior Solution Architect - PubSec - Canada
Salesforce Partner Canada
Toronto, ON
- Full-time
The Solution Architect leads one or more workstreams in sophisticated enterprise customer engagements, partnering with key collaborators to drive and achieve the vision while completing key…

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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