Software engineer jobs in Canada

Find software engineer jobs across Canada. Choose a place, compare current openings and read the employer’s requirements.

Counted Oct 9, 2026

Hiring at a glance

View jobs

Open jobs: 2,205
Employers: 903

Advertised starting pay

Average starting payCAD / year: $127,535Across 273 listings
Average starting payUSD / year: $156,529Across 81 listings
Average starting payCAD / hour: $54.02Across 30 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 12%262 listings
Hybrid: 41%913 listings
On-site: 46%1,008 listings

Not specified: 1% (22 listings)

Employers hiring include Amazon (99), Arista Networks (44), Okta (41).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Software engineer jobs in Canada

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Added 16 days ago
C
Software Engineer, Inference Platform
Cerebras
Toronto, ON
- Full-time
Added 16 days ago
CO
Cloud Administrator (Term Position)
Commissionaires Ottawa
Ottawa, ON · Greater Ottawa Metropolitan Area
- Contract
Added 16 days ago
B
Senior Software Engineer I
Braze
Toronto, ON
- Full-time
Added 16 days ago
Senior Software Engineer I
Braze
Toronto, ON
Added 16 days ago
CS
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
- Full-time
- Remote
Added 16 days ago
Senior Software Engineer I, Email
Braze
Toronto, ON
Added 16 days ago
B
Senior Software Engineer I, Email
Braze
Toronto, ON
- Full-time
Added 16 days ago
M
Senior Mobile Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Senior Mobile Software Engineer within our US Retirement technology organization, you will design, build, and deliver high-quality mobile and backend solutions for our Retirement…
Added 16 days ago
Application Architect - Technology Strategy and Transformation
EY
Toronto, ON
Added 16 days ago
TC
Senior Software Engineer – Java, React & AWS
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 16 days ago
T
Senior Software Development Engineer in Test
Trackforce
Montreal, QC
- Full-time
Added 16 days ago
O
Senior Software Engineer, PAM
Okta
Toronto, ON
- $136,000 to $187,000 CAD / year
- Full-time
Added 16 days ago
Senior Software Engineer, PAM
Okta
Toronto, ON
Added 16 days ago
TC
Senior Software Engineer – Java, React & AWS
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 16 days ago
TC
Site Reliability Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Added 16 days ago
PH
Senior Developer / Application Architect HSPnet
Provincial Health Services Authority
Burnaby, BC
- Full-time
Added 16 days ago
GT
Senior Software Engineer
Grove Talent
Canada
- Full-time
Senior Software Engineer – Legal Applications (AI-First)
Added 16 days ago
M
Site Reliability Engineer
MLabs
Remote, Canada
- Remote
Added 16 days ago
R
Senior Software Engineer, Multiple Teams
Relay
Remote, Canada
- Full-time
- Remote
Added 16 days ago
ES
Advanced DevOps Games Software Engineer - American Football
EA SPORTS
Victoria, BC
- Temporary
Added 16 days ago
AM
Software Development Engineer (Chip Product Security)
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Added 16 days ago
C
Senior Backend Engineer
Chexy
Toronto, ON
- Full-time
Added 16 days ago
CA
Senior Software Engineer, Machine Learning
Chorus AI
Toronto, ON
- $150,000 to $170,000 CAD / year
- Full-time
Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist
Added 16 days ago
E
Software Engineer, Full-Stack
Ema
Vancouver, BC
- Full-time
Added 16 days ago
Associate Software Engineer
Infoblox
Burnaby, BC

Chorus AI

Senior Software Engineer, Machine Learning

Toronto, ON, Canada

$150,000 to $170,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $150,000 to $170,000 CAD / year
Job type: Full-time
Experience: 5+ years of relevant software engineering experience, with a track record of owning production systems end to end.
Posting language: English
Posted: Sep 22, 2026

Original job description

Senior Software Engineer, Machine Learning Chorus · Toronto, Ontario Location: Toronto, Ontario, in office ~4 days/week (68 Claremont Street, near Ossington and Queen St. West) Compensation: 150,000–170,000 CAD + equity Reports to: Technical CEO, working directly with our Founding Engineer and Founding Data Scientist Apply here: About Chorus Chorus is the marketing intelligence platform for nonprofits. We help mission-driven organizations send the right message to the right supporter at the right moment, building a preference profile for every supporter and routing each one to the content they're most likely to act on. Nonprofits that use Chorus raise 10–20% more revenue from their marketing. We work directly with nonprofits and advocacy organizations in the US and Canada, and alongside some of the sector's leading marketing agencies, reaching campaigns and programs with budgets in the billions, up to and including U.S. presidential campaigns. Our customers include Feeding America and the Human Rights Campaign. We closed a seed round earlier this year and are seeing early product-market fit: we're closing tens to hundreds of thousands of dollars in new revenue every month. Now we need an experienced engineer to own the product that's driving it. The role This is our third non-founder hire. You'll work out of our Toronto office alongside our technical CEO, Founding Data Scientist, and Founding Engineer. You'll own Automated Personalized Marketing, our product that uses machine learning models to build audience segments in real time. That means three things: The ML product, end to end. You'll own the system clients use every day: how models are trained, deployed, served, and monitored, and how their output becomes segments a marketer can act on. You own its reliability, and its performance. The path from model to production. You'll work closely with the founding data scientist to translate business requirements into machine learning definitions and model designs. You'll then train the respective models and turn them into production systems, with evaluation that reflects how the models are actually used, not just how they scored offline. The platform underneath. Our Founding Engineer owns the data platform that feeds it all: ingesting client marketing data, keeping it clean and current, and making it fast enough to segment in real time. You'll collaborate closely with them, shaping what the platform needs to deliver for the ML product and building on top of it. What you'll bring 5+ years of relevant software engineering experience, with a track record of owning production systems end to end. Hands-on ML engineering. You've trained machine learning models, deployed them to production, and evaluated how they perform once real users and real data hit them. Strong engineering fundamentals: testing, CI/CD, observability, and the discipline to keep a small team's codebase healthy as it grows. Comfort across our backend stack: a Python/FastAPI backend, MongoDB, S3, Redis, Pinecone, and AWS, deployed on Render. Comfort across our emerging data platform stack: Python and DuckDB on Dagster Judgment to work independently in an early-stage environment. You set your own direction on ambiguous problems, and you know when something is ready to ship. Numerical computing and performance optimization at scale. You're comfortable with the linear algebra under our models, including large matrix operations, and you know how to make it fast and memory-efficient on big datasets: vectorization, sparse representations, batching, and profiling to find the real bottleneck. Bonus points Martech, CRM, or marketing data experience (email engagement, supporter or donor behavior). Experience with hexagonal (ports-and-adapters) architecture. It's how our FastAPI backend is structured. Experience building retrieval or embedding-based systems. We use Pinecone for embedding-based matching in our models. C$150,000 - C$170,000 yearly

Apply About employer

More about this job

Responsibilities

Own the end-to-end Automated Personalized Marketing product, including the training, deployment, and monitoring of ML models. Collaborate with the founding team to translate business requirements into production-ready ML systems and integrate them with the data platform.

Requirements

Requires 5+ years of software engineering experience with a proven track record of deploying production ML systems. Must be proficient in Python, AWS, and numerical computing, with the ability to work independently in an early-stage environment.

Skills

Machine Learning Engineering
Python
FastAPI
MongoDB
S3
Redis
Pinecone
AWS
Render
DuckDB
Dagster
CI/CD
Numerical Computing
Performance Optimization
Linear Algebra
Hexagonal Architecture

Benefits

Equity

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Engineering
Python
FastAPI
MongoDB
S3
Redis
Pinecone
AWS
Render
DuckDB
Dagster
CI/CD
Observability
Linear Algebra
Vectorization
Sparse Representations
Batching
Profiling
Martech
CRM
Hexagonal Architecture
Embedding-based Systems
Marketing Intelligence
Nonprofits
Production Systems

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