Find work in Canada.

320,028 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 20 hours ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
Provision & scale GPU infrastructure: Architect and manage high-performance GPU serving environments on Kubernetes using engines like vLLM, Ray, and Triton.
Added 1 day ago
Digital Architect
Government of Alberta
AB
…excellence across product and platform teams. This Digital Architect role is a visionary and technical leader responsible for shaping the strategic design and overseeing the implementation…
Added 1 day ago
T
Senior AI Researcher
TEEMA
Toronto, ON
- Full-time
Architect and develop CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference
Added 1 day ago
I
Lead/Principal Enterprise Architect
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking an accomplished Lead / Principal Enterprise Architect to play a pivotal role in shaping and executing a long-term technology strategy for a leading global organization. This…
Added 2 days ago
AW
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon Web Services (AWS)
Montreal, QC
- Full-time
…coéquipiers - comme les ingénieurs IA/ML et les développeurs d'applications - pour amener ces solutions à un niveau de maturité prêt pour la mise en production. Ils ont à cœur de définir…
Added 2 days ago
TC
Infra / Cloud & GenAI Architect
Tata Consultancy Services
Calgary, AB
- Full-time
Have Senior plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
Added 2 days ago
Digital Solution Architect Lead Advisor
NTT DATA Services
Halifax, NS
We are currently seeking a Digital Solution Architect Lead Advisor to join our team in Halifax, Nova Scotia (CA-NS), Canada (CA).
Added 2 days ago
Senior Architecte IA/ML | Senior AI/ML Architect, Services professionnels pour le secteur public | Public Sector Professional Services
Amazon
Montreal, QC
…coéquipiers - comme les ingénieurs IA/ML et les développeurs d'applications - pour amener ces solutions à un niveau de maturité prêt pour la mise en production. Ils ont à cœur de définir…
Added 2 days ago
FI
Senior Quantitative Developer / Analyst
FP Inc.
Toronto, ON
- $95 to $115 CAD / hour
- Contract
FP Inc. is partnering with a leading global bank to hire a Senior Quantitative Developer / Analyst for its Global Fixed Income Quantitative Analytics group. The team of 20+ quants and…
Added 3 days ago
E
Applied Researcher 3 - Multimodal AI
eBay
Toronto, ON
- Full-time
In your role as an Applied Researcher 3, you will advance eBay’s multimodal and vision capabilities in order to support large-scale applications.
Added 3 days ago
C
Senior Java Developer - Assistant Vice President
Citi
Mississauga, ON
- Full-time
We are seeking a highly skilled Assistant Vice President (AVP), Software Senior Engineer, to design, develop, and maintain robust middleware solutions. The ideal candidate will have deep…
Added 3 days ago
Senior Technical Architect II
Bell
Toronto, ON
Bell MediaTV is committed to adding talented professionals to our team and we are looking to add a Senior Technical Architect to our Strategy and Architecture team. This team is responsible…
Added 3 days ago
Senior Technical Architect II
Bell
Toronto, ON
Bell MediaTV is committed to adding talented professionals to our team and we are looking to add a Senior Technical Architect to our Strategy and Architecture team. This team is responsible…
Added 4 days ago
RB
Senior Solutions Architect, IAM-2
Royal Bank of Canada
Toronto, ON
- Full-time
Applications Architecture, Architectural Modeling, Building Architecture, Communication, Critical Thinking, Cybersecurity, Design, Leadership, Multi-Level Communication, Negotiation, Risk…
Added 4 days ago
C
Senior Solution Architect
CGI
Victoria, BC
- Full-time
CGI is seeking an experienced Senior Solution Architect to join our Enterprise Architecture team. In this senior leadership role, you will shape the organization's technology landscape by…
Added 4 days ago
Senior Solutions Architect (Pre-Sales)
MongoDB
Montreal, QC
Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
Added 4 days ago
R
Senior Solutions Architect, IAM-2
RBC
Toronto, ON
- Full-time
Applications Architecture, Architectural Modeling, Building Architecture, Communication, Critical Thinking, Cybersecurity, Design, Leadership, Multi-Level Communication, Negotiation, Risk…
Added 4 days ago
C
Director - Enterprise Data Warehouse and Data Platforms
CGI
Ottawa, ON
- Full-time
We are seeking a Director, Consulting Expert (DCE) – Enterprise Data Warehouse & Data Platforms to provide senior technical, solutioning, and client facing leadership
Added 4 days ago
J
Senior Solutions Architect (Pre-Sales)
Jobgether
Canada
- $130,000 to $180,000 CAD / year
- Full-time
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Solutions Architect (Pre-Sales) based in Canada.
Added 4 days ago
Software Architect
Zynga
Toronto, ON
Design and architect scalable AI systems, full stack applications, and cloud infrastructure running in AWS with a focus on LLM-powered services and agentic workflows
Added 4 days ago
A
Data Architect
AGLC
AB · Edmonton, AB
- Full-time
Architect enterprise‑wide data solutions for applications, platforms, analytics to enable digital transformation
Added 4 days ago
RC
Senior Full Stack Engineer (Python)
Rules Cube
Toronto, ON
- Full-time
As a Senior Full Stack Engineer on the MediCore team, you'll own product features end to end, from database design and Python APIs to polished front-end experiences. You'll work closely…
Added 4 days ago
K
Senior Software Engineer – Agent Systems
Kraken
Canada
- Full-time
Architect backend services that integrate with multiple internal APIs and data sources
Added 5 days ago
CI
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
- Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 5 days ago
C
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…

Wealthsimple Technologies

Senior Software Developer, ML Platform & Infrastructure

Toronto, ON, Canada

$152,000 to $189,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

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.

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