Software Development Engineer, Demand Forecasting & Guidance

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 DSPs 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 and when will it show up* Answering those questions accurately is what our team builds.

We are looking for a Software Development Engineer to build and operate the systems that produce and serve those forecasts across Live Events and Streaming TV. This is a hands-on engineering role at the intersection of large-scale data pipelines real-time services and applied ML. You will write the code that ingests broadcast schedules and live game state from multiple third-party sources resolves them into a canonical view of what is airing and when and turns forecasted supply into signals that pacing and bidding act on.

You will work directly with applied scientists and data scientists who are pushing on the modeling side (e.g. tabular foundation models with LLM-derived semantic priors contention and win-rate modeling zero-shot forecasting for inventory with no history) and your job is to make that science real: productionized monitored cost-aware and fast enough to matter during a live broadcast. Several of these systems are on the critical path for live inventory so you will also raise the operational bar: telemetry accuracy dashboards and guardrails that fail safely.

Key job responsibilities

- Design build test and operate components and services within our forecasting and data platform owning them from design through production.
- Write high-quality maintainable well-tested code and participate actively in design and code review.
- Break down assigned projects into workable tasks deliver them on a predictable schedule and communicate progress and risks clearly.
- Partner with applied and data scientists to productionize models - building and maintaining training inference and monitoring pipelines and helping translate offline experiments into running systems.
- Build the instrumentation and dashboards that show whether our forecasts are accurate timely and cost-efficient and investigate when they are not.
- Participate in the teams on-call rotation and contribute to operational excellence - runbooks alarms and reducing recurring toil.
- Learn the advertising and live-sports domain deeply enough to make good independent judgment calls and share what you learn with the team.

- 3 years of non-internship professional software development experience
- 2 years of non-internship design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.

CAN ON Toronto - 114800.00 - 191800.00 CAD annually