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Added 12 mins ago
Bilingual Estates Specialist
Aviso
Vancouver, BC
$60,000 to $70,000 CAD / year
Full-time
At Aviso, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership,…
Added 12 mins ago
Bilingual Estates Specialist
Aviso
Toronto, ON
$60,000 to $70,000 CAD / year
Full-time
At Aviso, we are dedicated to improving the financial well-being of Canadians. As a leading wealth management organization, we are committed to leadership, innovation, partnership,…
Added 12 mins ago
Finance Manager
StoneRidge Insurance Brokers
Hamilton, ON
Full-time
StoneRidge Insurance Brokers is seeking an experienced Financial Manager to oversee the financial management of our real estate portfolio and related entities. You’ll lead accounting…
Added 12 mins ago
Credit Clerk
Federated Co-operatives Limited
Saskatoon, SK
Full-time
…Co-operative Retailing System (CRS). If you enjoy working with financial information, solving problems, and collaborating in a fast-paced environment, we’d love to hear from…
Added 12 mins ago
Senior Accountant
AIC Global Holdings Inc.
Burlington, ON
Full-time
…schedules for the year-end audits. Ability to complete full set of financial statements for external auditors’ review would be an…
Added 12 mins ago
Finance Transformation Manager (12-month contract)
Champion Petfoods
AB · Greater Edmonton Metropolitan Area
$108,000 to $148,000 CAD / year
Contract
Ability to manage confidential information and balance transformation speed with financial control and operational continuity.
Added 12 mins ago
Sr Manager, Compensation - Technology & Operations
BMO
Toronto, ON
Full-time
Manages resources and leads the execution of strategic initiatives to deliver on business and financial goals.
Added 12 mins ago
Senior Director, Airport Assessments and Services
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Full-time
Lead the design, planning, delivery, administration, and financial oversight of APEX programmes.
Added 12 mins ago
Commercial Transactions Analyst
InSync Systems
Calgary, AB
Contract
Collaborate with stakeholders such as trading, scheduling, and financial teams for actualized volumetric and fee-related inquiries
Added 12 mins ago
Bilingual Claims Technical Specialist
Wawanesa Insurance
Montreal, QC
Other
…Wawanesa Life, a provider of life insurance products; and Western Financial Group, a leading national distributor of personal and commercial…
Added 12 mins ago
Senior Relationship Manager
TD
Ottawa, ON
Full-time
Interpret and analyze customer financial statements with deep level credit acumen
Added 13 mins ago
Business Development Associate
CORA Group
Markham, ON · Canada - Markham - Ontario
Full-time
Arrange NDAs with qualified acquisition targets and collect key situational, operational and financial information in a nuanced manner
Added 13 mins ago
Business Development Representative
Keyera
Calgary, AB
Full-time
Work effectively with customers, partners, operations, logistics, financial analysts, commercial business units to develop new opportunities.
Added 13 mins ago
Brokerage Coordinator- Contract
Cushman & Wakefield
Calgary, AB
Full-time
Added 13 mins ago
Analyst, Data valorization
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
Full-time
Added 13 mins ago
Java Developer, Equities Trading, Vice President
Citi
Mississauga, ON
Full-time
Proven experience designing and developing automated trading systems, specifically with Smart Order Routers in Equities or other similar financial domains (preferred)
Added 13 mins ago
Client Service Representative [Hourly]
CIBC
Kirkland Lake, ON · Kirk.Lake-Government&Prospect
Part-time
…work in a fast-paced Banking Center and use your knowledge of financial services products to help clients with their day-to-day banking needs. As a Client Service Representative, whether…
Added 13 mins ago
Market Data Analyst, Market Data Solutions
CIBC
Toronto, ON
Full-time
…a solid foundation in statistics, time series analysis, and financial derivatives, with strong technical proficiency in SQL, Python and…
Added 13 mins ago
Regional Associate
CIBC
Vancouver, BC
Full-time
Added 13 mins ago
Senior Auditor, Commercial Assurance
Cenovus Energy
Calgary, AB
Full-time
Minimum 8 years of experience in joint venture audits, contract compliance audits, operational accounting, or related financial assurance roles within the oil and gas industry.
Added 13 mins ago
Senior Relationship Manager
BMO
Montreal, QC · DEMA
Full-time
BMO's Canadian Middle Market team partners with private companies and public sector organizations to provide strategic financial solutions that fuel business success. As a trusted advisor,…
Added 13 mins ago
Senior Digital Product Owner
BMO
Toronto, ON · BMOPLACE
Full-time
The above represents BMO Financial Group’s pay range and type.
Added 13 mins ago
Senior Digital Product Owner, Open Banking - Business Banking
BMO
Toronto, ON · BMOPLACE
Full-time
The above represents BMO Financial Group’s pay range and type.
Added 13 mins ago
Manager, Strategy Initiative Planning, Corporate and Investment Banking - International Banking
Scotiabank
Toronto, ON
Scotiabank’s International Banking division is a diverse and dynamic network that provides financial advice and solutions to more than 12 million retail, corporate, and commercial clients.…
Added 13 mins ago
Service Officer, Cash Management Services
Scotiabank
ON · Mississauga, ON
Minimum of 2 years of relevant working experience (Commercial / Small Business) in Financial Services or related industry.

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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