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Added 21 days ago
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Senior Power Applications Engineer
Hitachi
London, ON · (HE)Office_ON, Stoney Creek
- Full-time
Ready to help shape the future of energy? Join Hitachi Energy as a Senior Power Applications Engineer and play a key role in delivering advanced software solutions that support reliable,…
Added 21 days ago
CI
Principal Engineer, Risk and TFM Technologies
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Principal Engineer, Risk & Total Fund Management Technology, you will define architectural direction and elevate engineering excellence across critical investment technology platforms…
Added 22 days ago
ST
EWIS Integrator (Senior Level)
SEGULA Technologies
Montreal, QC
- Full-time
Position Overview: We are seeking a Senior EWIS Integration Engineer to provide high-level technical leadership for complex aircraft development programs and sustaining initiatives. In this…
Added 22 days ago
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Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
As a Patient Experience iCare Insights/Exchange Integrations Engineer at Sanofi, you will play a pivotal role in transforming patient data into actionable insights that drive better health…
Added 22 days ago
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Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 22 days ago
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Professional, Engineering - Avionics Systems
Bombardier
Dorval, QC
- Full-time
Be responsible for the timely integration of systems, such as AFCS, Communication (VHF, HF, SATCOM, Datalink), Navigation (ADF, VOR, ILS, DME, TCAS, Transponder, IRS, GPS, FMS, Weather…
Added 22 days ago
BD
Senior Mechanical Engineer Manager
Bulwark Dynamics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
A full-time, hybrid role in the Bay Area for a mid-to-senior Mechanical Engineer specializing in vehicle assembly, load dynamics, fabrication, and actuation. The role begins as soon as…
Added 22 days ago
LT
Senior Product Cybersecurity Engineer - Platform Security
L3Harris Technologies
Montreal, QC
- Full-time
Job Title: Senior Product Cybersecurity Engineer – Platform Security
Added 22 days ago
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Senior Data Engineer
Livingston International
Toronto, ON · Etobicoke, ON
- Full-time
Livingston moves goods across a complex, high-velocity supply chain, and data is at the heart of how we plan, route, and optimize that movement. We're looking for a Senior Data Engineer to…
Added 22 days ago
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Sr NetIQ Engineer (NetIQ OpenText)
CIBC
Toronto, ON · ON
- Full-time
The NetIQ Open Text Identity Manager Senior Engineer (NetIQ OpenText) is responsible for providing advanced technical expertise to support and resolve application and infrastructure issues…
Added 22 days ago
CS
Senior Research Engineer - Inference ML
Cerebras Systems
Canada
- Full-time
As a Senior Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras…
Added 22 days ago
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Backend Software Engineer (senior/staff)
SearchLabs
Toronto, ON
- Full-time
Work with integration partners to shape their APIs, expand the data we can offer, and improve performance at the source.
Added 22 days ago
TC
Junior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
…classify financial and client documents, extract structured data, and drive business process automation. Working closely with business stakeholders, you will contribute to the development,…
Added 22 days ago
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Sr Security Platform Engineer
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
The Senior Security Platform Engineer is responsible for designing, implementing, supporting, and continuously enhancing Sun Life’s enterprise cryptographic security platforms, including…
Added 22 days ago
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Director, AI Engineering, Principal Product Scaler
CIBC
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You are a hands-on senior engineering leader. You have experience operating at a Staff, Principal, Lead Engineer, or equivalent level, and you enjoy both designing systems and writing…
Added 23 days ago
WI
Specialist, Engineering - Combined Cycle Gas Turbine SME
WSP in Canada
Calgary, AB
- Full-time
…more than 1 GW, providing technical leadership across Owner’s Engineer, feasibility, Pre-FEED, FEED, EPCM and EPC delivery…
Added 23 days ago
SC
Senior Process Engineer - Mine Backfill & Tailings Management
SLR Consulting
Sudbury, ON
- Full-time
As our new Senior Process Engineer, you will play an important role on our North American mine waste engineering team.
Added 23 days ago
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Senior Data Engineer
TriMech
Oakville, ON
- Full-time
As Senior Data Engineer / Data Scientist, you will design, build, and operate the group's data ecosystem: integrating data from our core business systems, developing robust pipelines,…
Added 23 days ago
RC
Senior Network Security Engineer (CCNP Security Needed)
RSM Canada
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Network Security Engineer with a current Cisco Certified Network Professional – Security (CCNP Security) certification to join our team. As a Cisco…
Added 23 days ago
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Cloud Engineer
TechDoQuest
Brampton, ON
- Contract
We are looking for a Senior Azure Data Engineer to design, develop, and optimize scalable data pipelines and cloud data solutions. The role focuses on data engineering, integration, and…
Added 23 days ago
Senior Software Engineer
Fleetworthy
Edmonton, AB
Implement scalable ETL/data transformation workflows using Databricks or similar platforms
Added 23 days ago
RU
Senior Network Security Engineer (CCNP Security Needed)
RSM US LLP
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Network Security Engineer with a current Cisco Certified Network Professional – Security (CCNP Security) certification to join our team. As a Cisco…
Added 23 days ago
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Senior AML IT Developer
TD
Toronto, ON
- Full-time
The Java Developer / Data Engineer will join the Compliance, Surveillance & Supervision Product Technology team, which delivers technology solutions supporting the Compliance, Surveillance,…
Added 23 days ago
AG
Senior Customer Engineer / Spécialiste technique client senior
Aduna Global
Montreal, QC
- Full-time
We are looking for a Senior Customer Engineer to join Aduna's Customer Engineering team, where Product, Engineering, customers, and CSPs come together to solve complex integration and…
Added 23 days ago
WT
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
- $152,000 to $189,000 CAD / year
- Full-time
…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…

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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