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Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
…System (HDFS), Google BigQuery (BigQuery), Amazon EMR (EMR), Snowflake, and…
Added 2 months ago
PX
Consultant, IT Systems Administrator (Airflow/Snowflake)
Project X
Toronto, ON
- Full-time
Must have experience with Snowflake and Airflow
Added 2 months ago
C
Senior Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
…modern technology platforms that improve software delivery, developer productivity, operational resilience, security, and business…
Added 2 months ago
C
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
Implement and manage modern data architectures, including Lakehouses (e.g., Databricks), Cloud Data Warehouses (e.g., Snowflake), and robust ETL/ELT pipelines.
Added 2 months ago
C
Senior Full Stack Developer
CGI
Toronto, ON
- Full-time
CGI is seeking an experienced Senior Full Stack Developer to join our growing Software Engineering Practice within the Emerging Technologies team.
Added 2 months ago
C
Senior Architect (Cloud & FinOps Strategy)
CGI
Toronto, ON
- Full-time
Architect foundational cloud environments (Landing Zones) that balance developer agility with strict security, compliance, and financial controls.
Added 2 months ago
H
Director, Data & AI (Hybrid)
Homebase
Toronto, ON
- $230,000 to $273,000 CAD / year
- Full-time
Experience with modern data platforms such as Databricks, Snowflake, or similar. Familiarity with Unity Catalog, Airflow, dbt, and ML platforms (MLflow, Baseten, or equivalent) is a strong…
Added 2 months ago
GE
Data Developer II (15‑months Contract)- EN
Global Excel Management Inc.
Windsor, ON
- Contract
As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data…
Added 2 months ago
GE
Data Developer II (15‑months Contract)- EN
Global Excel Management Inc.
Sherbrooke, QC
- Contract
As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data…
Added 2 months ago
VN
Solutions Architect, AI Systems
Viral Nation
Toronto, ON
- Full-time
Build and deploy functional tools, models, and internal products on our proprietary data infrastructure (Snowflake, BigQuery) - not dashboards alone.
Added 2 months ago
WT
Senior Software Developer, LLM Infrastructure
Wealthsimple Technologies
Remote, Canada
- $152,900 to $189,000 CAD / year
- Full-time
- Remote
Data & Streaming: Kafka, Postgres, Redshift, Snowflake
Added 1 month ago
M
Manager, Marketing Insights & Analytics
Moneris
Toronto, ON
- Full-time
…modeling, and the adoption of modern analytics technologies such as Snowflake and Power…
Added 2 months ago
Senior Manager Business Systems Schedule Data
IATA
Montreal, QC
Hands-on experience with AWS, Snowflake, PowerBI or similar tools.
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Experience building and deploying data pipelines and ML workflows in cloud environments; Snowflake experience is a strong asset
Added 2 months ago
STEM Communicator - Science Centre Operations
Science North
Sudbury, ON · Greater Sudbury, ON
…to report to either Dynamic Earth (122 Big Nickel Road) or Snowflake (100 Ramsey Lake Rd) depending on…
Added 2 months ago
B
GTM Analytics Lead
ButterflyMX
Remote, Canada
- Full-time
- Remote
Build and maintain a unified revenue data and business logic layer combining Salesforce, Snowflake, and third-party vendor sources; audit continuously for quality gaps, metric drift, and…
Added 2 months ago
O
Data Engineering Developer
OSEDEA
Montreal, QC
- Full-time
Experience with platforms such as Snowflake, BigQuery, or dbt (an asset);
Added 2 months ago
FC
Data Analyst and Reporting Tools Developer
Fidelity Canada
Mississauga, ON
- Full-time
The Data Analyst and Reporting Tools Developer provides analysis and guidance to the members of the Fidelity Senior Executive Team and the business units they manage. Our team works very…
Added 2 months ago
X
Data Scientist
Xsolla
Canada
- Full-time
Design, build, and optimize data pipelines and ETL workflows in Snowflake using Snowpark, Streams/Tasks, and Snowpipe.
Added 2 months ago
E
Ingénieur analytique d’entreprise
EXFO
Montreal, QC · Quebec, QC
- Full-time
Added 2 months ago
W
Senior Software Engineer II - Integrations
Wrapbook
Remote, Canada
- $183,000 to $251,500 CAD / year
- Full-time
- Remote
Added 2 months ago
F
Product Operations Manager, Cards & Spend Management
Float
Remote, Canada
- $150,000 to $170,000 CAD / year
- Full-time
- Remote
…leaders from Uber, Stripe, Shopify, Top Hat, Ada, Doordash, Snowflake, and…
Added 2 months ago
PF
Senior Test Automation Engineer
PureFacts Financial Solutions
Toronto, ON
- $100,000 to $120,000 CAD / year
Work with Snowflake to validate data, execute queries, verify data pipelines, and support reporting validation.
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Welcome to the Jungle
Montreal, QC
Added 2 months ago
G
Senior Frontend Engineer
GamblingCareers.com
Canada
- Full-time
Familiarity with relational databases (Postgres, Oracle) and analytical platforms (e.g., Snowflake).

Wealthsimple Technologies

Senior Software Developer, LLM Infrastructure

Remote, Canada

Remote

$152,900 to $189,000 CAD / year · Full-time

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Job details

Pay: $152,900 to $189,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 6+ years of software engineering experience building production-ready distributed systems or data platform infrastructure.
Posting language: English
Posted: Aug 12, 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.

Machine Learning Infrastructure Team

The Machine Learning Infrastructure team builds the core foundation powering AI and GenAI initiatives across Wealthsimple. As our AI footprint expands, our priority is building scalable, cost-effective infrastructure that enables high-performance inference using open-source models alongside vendor solutions. Our responsibilities are to:

Build and maintain infrastructure to host and serve open-source LLMs reliably on cloud/GPU systems.
Implement intelligent model-routing frameworks to optimize performance, cost, and latency.
Develop evaluation and benchmarking tooling (Evals) to test, validate, and compare model performance across use cases.
Set the technical direction for operating scalable LLM infrastructure company-wide.

The Role

As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our AI systems. You will work closely with data scientists, platform engineers, and engineering leaders to scale our GenAI footprint efficiently and securely.

In this role, you will have the opportunity to:

Build model-routing architecture (e.g., LiteLLM integration) to dynamically direct requests across internal and external models.
Provision and manage high-performance GPU infrastructure for serving open-source LLMs.
Build evaluation frameworks (Evals) that enable engineers and data scientists to benchmark model quality against production requirements.
Drive key cost-optimization and infrastructure efficiency initiatives without sacrificing system accuracy or reliability.

We are looking for people who have:

6+ years of software engineering experience building production-ready distributed systems or data platform infrastructure.
Strong proficiency in Python and infrastructure tooling like Kubernetes and Terraform.
Proven experience designing and operating highly performant, observable backend systems.
Practical experience or deep familiarity with the modern AI ecosystem (e.g., serving open-source models, vLLM, Ray, model routing, or evaluation frameworks).
Track record of owning technical projects end-to-end with high autonomy.

Our stack includes:

Container & Infra: Kubernetes, Terraform, AWS GPU infrastructure
Languages & APIs: Python, FastAPI
LLM Tooling & Serving: LiteLLM, vLLM, Ray, Bedrock
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.

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

Build and maintain scalable infrastructure to host and serve open-source LLMs while implementing intelligent model-routing frameworks. Develop evaluation and benchmarking tooling to validate model performance and drive cost-optimization initiatives.

Requirements

Requires 6+ years of software engineering experience in building production-ready distributed systems or data platform infrastructure. Strong proficiency in Python, Kubernetes, and Terraform is essential, along with practical experience in the modern AI ecosystem.

Skills

Python
Kubernetes
Terraform
Distributed systems
Data platform infrastructure
LLM infrastructure
Model routing
Evaluation frameworks
GPU infrastructure
vLLM
Ray
FastAPI
AWS
Kafka
Postgres
Snowflake

Benefits

Health benefits
Life insurance
Long-term group savings with employer match
20 vacation days
4 wellness days
Unlimited sick and mental health days
90 days away work program
Equity compensation

Visa sponsorship

Not detected in the job text

Keywords

Software Engineering
LLM
Infrastructure
Machine Learning
GenAI
Distributed Systems
Python
Kubernetes
Terraform
AWS
GPU
LiteLLM
vLLM
Ray
FastAPI
Kafka
Postgres
Redshift
Snowflake
Model Routing
Benchmarking
Evals
Backend
Cloud
Data Platform
Cost Optimization
Scalability
Reliability
Inference
Financial Technology

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