Senior Software Engineer, Demand Forecasting & Guidance

Toronto, Ontario

On-site

Contract

$151K – $252K CAD

Yesterday

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Employment type: Contract · On-site
Posted: September 17, 2026
Salary range: $150,700–$251,700 CAD per year
NOC code: 21231 — Software engineers and designers
Province: Ontario (ON)More in Ontario

Hiring confidence: Complete posting · 78/100

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Job Overview

Jobs

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Live sports and Streaming TV are the fastest-growing premium inventory in advertising, and they are the hardest to forecast. A regular-season game and a playoff elimination game are the same length and the same ad load, but they are not the same business. Amazon DSP's Live Events Optimizer (LEO) launched in December 2025 and is scaling from its first cohort of advertisers to hundreds; every one of them asks the same two questions before they commit budget - *how much inventory will there be, an…

This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Amazon is hiring for this contract position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Software Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting advertises $150,700–$251,700.

NOC code

21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.

Typical qualifications for Canadian employers

A degree in computer science, software engineering or a related field, or equivalent experience, plus demonstrated work in one or more production languages and frameworks.

Licensing: No licence is needed to write software, but the title "engineer" is protected by the provincial engineering regulators; some employers post the same role as "software developer" for that reason.

All Software Engineer jobs in Ontario

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What you'll do

Develop forecasting models for live sports and streaming TV advertising inventory
Scale the Live Events Optimizer (LEO) platform from initial cohort to hundreds of advertisers
Build systems to predict inventory availability for premium live events
Address business differentiation between regular-season and playoff events
Provide guidance to advertisers on budget allocation decisions
Implement real-time forecasting solutions for dynamic ad inventory

What you'll need

Senior-level software engineering experience
Experience with forecasting or predictive analytics
Proficiency in Python or similar languages
Understanding of advertising technology and inventory management
Experience with AWS or cloud platforms
Strong distributed systems knowledge
Ability to handle real-time data processing