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Added 3 days ago
AI Engineer
BMO
Toronto, ON · BMOPLACE
We are seeking an innovative AI Engineer to help drive the next generation of intelligent solutions across the enterprise. In this role, you will design, develop, deploy, and optimize…
Added 3 days ago
T
Google Big Data Platform Engineer II
TD
Toronto, ON
- Full-time
Manage cloud security controls, including GCP Secret Manager, PKI, data encryption, and VPC Service Controls
Added 3 days ago
S
Senior Full Stack Gen AI Engineer/Technical Engagement Manager
Straive
Calgary, AB
- Full-time
Straive is a global leader in enterprise-grade Data Analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert…
Added 3 days ago
L
Senior Product Manager, Firm Intelligence Platform
Litera
Toronto, ON · Canada-Toronto, ON-Office
- Full-time
As a Senior Product Manager for the Firm Intelligence Platform, you’ll own the vision, strategy, and roadmap for the foundational layer that turns the data flowing through a law firm’s work…
Added 3 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 3 days ago
Software Engineer III
Electronic Arts
Vancouver, BC
You will work with us to build automated testing frameworks and evaluation tools, applying AI and machine learning to expand our test coverage. You will report to our Engineering Manager.
Added 4 days ago
Associate, DevOps Engineer
BMO
Toronto, ON · FCP
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 5 days ago
H
Data & ML Platform Engineer (Hybrid)
Homebase
Remote, Canada
- $110,000 to $160,000 CAD / year
- Full-time
- Remote
Every data and AI feature at Homebase runs on the platform you’ll help build. Our AI-powered product work is moving fast, and the platform underneath it has to move faster. You’ll be one of…
Added 5 days ago
M
Project Manager, Artificial Intelligence
Maarut
Montréal-Est, QC · Quebec city/Montreal, Quebec
- Contract
Data scientist or ML engineer profile with no demonstrated
Added 5 days ago
B
Senior AI Engineer for Observability
BMO
Toronto, ON · BMOPLACE
- Full-time
Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
Added 5 days ago
S
Backend / API Engineer, Radar
Stripe
Toronto, ON
- Full-time
As a software engineer on Radar, you’ll build products and infrastructure that help businesses understand and stop fraud and abuse. Your work will span backend services, enterprise APIs,…
Added 5 days ago
M
In-House Technical Recruiter
Mendable
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It’s the boring-hard problem…
Added 5 days ago
N
Software Engineer - C++/Linux - Envoy Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
You will report to a seasoned Technical Manager who will provide mentorship and guidance as you navigate through your responsibilities. The work setup at Nutanix AI is a hybrid model,…
Added 5 days ago
B
Senior Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Engineer trusted and audit-ready data through reconciliation, effective-dating, lineage, entitlements, data-quality controls, and traceability across the data lifecycle.
Added 5 days ago
B
Data Engineer
BMO
Toronto, ON · FCP
- Full-time
Design, build, and support scalable data pipelines, models, and analytical data products that enable deeper business insights and data-driven decision-making. This role combines hands-on…
Added 6 days ago
F
In-House Technical Recruiter
Firecrawl
Toronto, ON
- $160,000 to $179,000 USD / year
- Full-time
Firecrawl is the easiest way to turn the web into data AI agents can use. One API call converts any URL into clean, LLM-ready markdown or structured data. It’s the boring-hard problem…
Added 6 days ago
PS
ML/NLP Engineer
PRESCRIRE Solutions
Montreal, QC
- Full-time
Model Training Pipeline: Create robust training pipelines using clinical data with expert validation loops.
Added 6 days ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
You will design, deploy, and scale low-latency ML and LLM recommendation pipelines that feed real-time predictive data into core travel applications. You will own the entire lifecycle of…
Added 9 days ago
RB
Manager, ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Reporting to the Director, Credit & Stress Testing Implementation Assurance, the Manager, ML Engineer will apply business and technical knowledge to turn models into production-grade…
Added 9 days ago
R
Manager, ML Engineer
RBC
Toronto, ON
- Full-time
Reporting to the Director, Credit & Stress Testing Implementation Assurance, the Manager, ML Engineer will apply business and technical knowledge to turn models into production-grade…
Added 10 days ago
T
AI / ML Product Engineer
TD
Toronto, ON
- Full-time
We are looking for an AI Platform Product Engineer who can lead AI initiatives from idea to production, and who can teach our engineers to build with AI. This person is technical enough to…
Added 10 days ago
B
Data Scientist
BMO
Toronto, ON · BMOPLACE
- Full-time
…mine and analyze large sets of structured and unstructured data to obtain insights. Designs and constructs new processes for modeling data. Develops predictive models and leverages big data…
Added 10 days ago
T
Azure Google AI/ML Platform Engineer II
TD
Toronto, ON
- Full-time
As an experienced Platform Engineer, you own services end-to-end. You design the Terraform modules, the GitHub Actions pipelines, the security model, and the operational story for an entire…
Added 10 days ago
S
Staff Software Engineer, Risk Engineering
Stripe
Toronto, ON
- Full-time
As a Staff Engineer on Financial Crimes Engineering, you'll own technical direction across our screening, detection, and review systems. You'll design infrastructure that balances screening…
Added 10 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…

Homebase

Data & ML Platform Engineer (Hybrid)

Remote, Canada

Remote

$110,000 to $160,000 CAD / year · Full-time

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Job details

Pay: $110,000 to $160,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 21, 2026

Original job description

Hi, Future Homie!

At Homebase, you’ll join a team that’s bold, fast-moving, and obsessed with helping small businesses thrive. We build with empathy, act with urgency, and take big swings that drive real-world impact. Here, every Homie shows up to raise the bar, support one another, and celebrate wins as a team.

We’re not just building an app - we’re building unstoppable teams. So what do you say, are you in?

📍Your Impact Starts Here

Every data and AI feature at Homebase runs on the platform you’ll help build. Our AI-powered product work is moving fast, and the platform underneath it has to move faster. You’ll be one of two engineers who carry that build.

You’ll own how data gets in, how the platform runs, and how models and data get served back to the product, with real ownership from day one.

These are the key ways you’ll contribute and create impact in this role:

Own data-in. Build and run CDC and streaming pipelines (Kafka, Debezium, Spark streaming into Delta), including replay, restream, and ingestion SLAs.
Own the data platform. Manage Databricks, Unity Catalog, warehouses, and Terraform, with CI/CD and DAB deploys for data infrastructure.
Build the serving layer. Ship gRPC services, move batch workloads to real-time inference, and make LLM latency and cost visible.
Grow the ML foundations. Evolve our feature store and MLflow practice, and work with data science to take proofs of concept to production.
Be AI-first in how you build. Use AI-assisted tools to build, test, and operate faster, experiment with new capabilities, and share what works with the team.
Partner across teams. Work with data engineering, data science, and product engineering to turn customer needs into reliable systems.
Share the on-call. Join the team’s on-call rotation, which has its own escalation path, and help make it quieter over time.

🚀 The Foundation for Success - These are the experiences and strengths that will set you up for success in this role:

Production experience with distributed streaming systems (Kafka and CDC).
Hands-on Spark and Delta experience.
Strong Python and SQL.
Experience with container infrastructure (Docker, ECS, or Kubernetes).
Infrastructure-as-code experience, ideally Terraform.
Solid data modeling fundamentals.
Comfort being part of an on-call schedule.
AI fluency: you already experiment with AI tools in your engineering workflow and can share what you learned.
Comfort moving quickly through ambiguity, with clear communication across technical and non-technical teams.
An ownership mindset: you stay close to the details and stand behind the systems you build.
The ability to collaborate in person at our Toronto hub every Tuesday and Wednesday, and to use that time for fast decisions and shared context.

Bonus points if you bring:

Unity Catalog governance.
MLflow and feature stores.
LLM-serving experience.
Protobuf event contracts.
Postgres internals.

🤝 The Homie Way - These principles guide everything we do - from how we work and make decisions to how we show up for each other.

💡 Be Customer Obsessed – Solve problems with empathy and creativity.
⚡ Move Fast, Learn Fast – Experiment, take action, and grow every day.
🎯 Own Your Impact – Think big, focus on what matters, and make decisions you stand behind.
🏆 Master Your Craft – Excellence fuels impact - show up, step up, and make your mark.
🏅 Win Together – Put goals over roles, lead with trust, and connect to our mission and each other.

What We Offer

💰 Ownership & Savings: Stock options + TFSA/RRSP with 4% company match
🏥 Health & Wellness: Comprehensive medical, dental, and vision for you and your dependents
⏰ Paid Time Off: Flexible PTO + company holidays + designated focus periods
🤖 AI access, for real: We invest in builders and believe that curiosity shouldn't have a paywall. That means you'll have access to paid AI tools with minimal restrictions, so you can build, experiment, and level up your craft.
👶 Family Support: Maternity/Parental Leave EI top-up support offered (after 6 months of service)
🌟 Work Your Way: Work From Anywhere Month + meeting-free weeks yearly
🛡️ Protection Plans: Life insurance + short/long-term disability coverage
🍽️ Workspace Perks: Meals provided, team offsites, and Customer Days
💼 Our Hybrid Rhythm: We believe collaboration drives impact. That’s why Tuesdays and Wednesdays are our required in-office days - a time to move faster as a team, build deeper connections, make better decisions, and build together.

What to Expect During the Interview Process

Meet the Talent Acquisition team, Mavel W.
Meet the Hiring Manager, Paul W.
Participate in technical interviews (live coding plus a data and ML platform design conversation)
Background Check + Offer Stage
Welcome to the team, Homie 🎉

💜 Belonging at Homebase - We're committed to fostering a welcoming space where every Homie can be their full self. Experience comes in many forms - so if you're excited about this role, even if you don’t meet 100% of the qualifications, we encourage you to apply!

👋 Hey, We’re Homebase

Homebase is the everything app for hourly teams - built to simplify the day-to-day and superpower local businesses. With tools for scheduling, time clocks, payroll, communication, HR, and more, we help teams stay connected and in control. Today, over 150,000 small (but mighty) businesses rely on us to make work radically easier. Together, we’ve tracked over a billion hours for 2M+ workers - and we’re just getting started.

At Homebase, we celebrate diversity and are proud to be an equal opportunity employer. We welcome all candidates and do not discriminate based on any legally protected status. If you need accommodations during the hiring process, please let us know - we’re committed to ensuring fair and equitable access for all.

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More about this job

Responsibilities

Own and operate streaming and CDC ingestion pipelines, the Databricks-based data platform, and infrastructure deployment, while building real-time serving systems for data and machine learning models. Improve ML foundations and LLM observability, partner with data science and product teams to productionize solutions, and participate in the on-call rotation.

Requirements

Candidates should have production experience with distributed streaming and CDC systems, hands-on Spark and Delta experience, strong Python and SQL skills, and familiarity with container infrastructure and infrastructure as code. The role also requires sound data modeling, on-call readiness, AI-tool fluency, clear communication, an ownership mindset, and the ability to work in person in Toronto on Tuesdays and Wednesdays.

Skills

Kafka
Change Data Capture (CDC)
Spark Streaming
Delta Lake
Python
SQL
Databricks
Terraform
Docker
ECS
Kubernetes
Data Modeling
MLflow
Feature Stores
gRPC

Benefits

Stock Options
TFSA/RRSP With 4% Company Match
Medical, Dental, And Vision Coverage
Flexible Paid Time Off
Company Holidays
Designated Focus Periods
Paid AI Tools
Maternity And Parental Leave EI Top-Up
Work From Anywhere Month
Meeting-Free Weeks
Life Insurance
Short-Term And Long-Term Disability Coverage
Meals Provided
Team Offsites

Visa sponsorship

Not detected in the job text

Hiring contact

Paul W.

Keywords

Data Platform Engineering
Machine Learning
Artificial Intelligence
Kafka
Change Data Capture (CDC)
Debezium
Spark Streaming
Delta Lake
Databricks
Unity Catalog
Terraform
CI/CD
Python
SQL
Docker
Amazon ECS
Kubernetes
Data Modeling
gRPC
Real-Time Inference
LLM Serving
MLflow
Feature Stores
Protobuf
PostgreSQL
Infrastructure As Code
Streaming Pipelines
On-Call Support

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