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Added 22 days ago
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Salesforce Release Engineer
Cognizant
Toronto, ON
- $78,000 to $125,000 CAD / year
- Full-time
Facilitate impact assessments and coordinate third-party platform releases, including Salesforce seasonal releases and nCino bi-annual releases.
Added 22 days ago
GM
Principal Software Engineering - Virtualization
General Motors
Markham, ON
- Full-time
General Motors is seeking a highly skilled and experienced professional to join our team as the Staff Engineer of Software Engineering, Embedded Platform. As a Continuous Integration…
Added 22 days ago
GL
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 23 days ago
Staff Software Engineer
Versaterm
Ottawa, ON
Versaterm is a PE-backed, high-growth SaaS company building a fully integrated platform across the entire public safety ecosystem - dispatch, law enforcement, forensics, courts, and beyond.…
Added 23 days ago
C
Data Engineer
Citylitics
Remote, Canada
- Full-time
- Remote
…vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape…
Added 23 days ago
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Senior Web Compatibility Engineer
DuckDuckGo
Remote, Canada
- $178,500 USD / year
- Full-time
- Remote
Advanced ability to reverse-engineer obfuscated third-party code and reduce issues to minimal test cases.
Added 23 days ago
CI
Data Engineer
Citylitics Inc.
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
…vendors, engineering firms, and construction companies use the platform to identify and pre-position for major infrastructure opportunities earlier, helping them build relationships, shape…
Added 23 days ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Senior-level full stack developer with Dev Lead Experience
Added 23 days ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 23 days ago
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 23 days ago
SS
Senior Platform Engineer, Vice President
State Street
Toronto, ON
- Full-time
The State Street Cyber Architecture & Engineering team is looking for a Senior Platform Engineer, VP. The Cyber Data & Analytics team delivers models, insights, and tooling to help…
Added 23 days ago
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Staff Software Engineer, User Targeting
Braze
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 23 days ago
B
Senior Software Engineer I, Core Objects
Braze
Toronto, ON
- Full-time
We’re looking for a Senior Fullstack Engineer to help us tackle significant engineering challenges, such as: extending our high-scale ingestion pipeline to ingest new and advanced data…
Added 23 days ago
Collaboration & AI DevOps Engineering Specialist (Microsoft 365 & CoPilot)
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
…operate, and continuously improve our Microsoft 365 collaboration platform and to evolve our AI CoPilot implementation. This role combines engineering, and operational excellence to deliver…
Added 23 days ago
SL
Customer Success Manager/Engineer
Speedy Labs
Remote, Canada
- $60,000 to $120,000 USD / year
- Contract
- Remote
We’re looking for a Customer Success Manager / Customer Success Lead to own the customer journey from implementation through long-term adoption, value realization, and expansion.
Added 23 days ago
HT
Systems Reliability Engineer
High Tech Genesis
Toronto, ON
- $50 to $60 CAD / hour
- Contract
We are seeking a Systems Reliability Engineer (SRE) to join a Technical Operations team supporting a large-scale enterprise platform. In this role, you will be responsible for the…
Added 23 days ago
TC
Lead Data Engineer - Partnership Intelligence
Two Circles
Vancouver, BC
- $110,000 to $130,000 CAD / year
- Full-time
We are seeking a Lead Data Engineer to join our Measurement team in the Partnership Intelligence Platform. You will round out the team with expertise in directly managing AWS Services, with…
Added 23 days ago
T
Electrical, Instrumentation & Controls Engineer
TransAlta
Kingston, ON
- Full-time
…dynamic industry, you bring the energy and we’ll provide the…
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
…observation data is accessed and utilized globally. Our innovative platform empowers businesses, researchers, and governments to easily integrate satellite data into their operations,…
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
C
Lead Threat Intelligence Engineer
Clio
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
You will work closely with Clio's internal red team and detection engineer. Threat Intelligence characterizes the adversary - who they are, how they operate, what to watch for. The Red Team…
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
A
Implementation Engineer
Adyen
Toronto, ON
- $105,000 to $185,000 CAD / year
As an Implementation Engineer at Adyen, you will partner with fast-growing and enterprise businesses to design, integrate, and scale how they use Adyen’s payment platform.

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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