Senior Software 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 Senior Software Development Engineer to own the systems that produce and serve those forecasts across Live Events and Streaming TV. This is a deep-systems role at the intersection of large-scale data engineering real-time services and applied ML. You will build the platform 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
- Own the architecture and delivery of large-scale business-critical systems end to end - from ambiguous problem statement through design implementation launch and long-term operation.
- Serve as the engineering counterpart to applied and data scientists: translate research prototypes into production systems and shape modeling decisions early by making the engineering constraints and possibilities explicit.
- Build and own the platform layer that science depends on - data ingestion and feature pipelines automated training and evaluation online and batch inference model deployment and the monitoring that tells us when a model has quietly stopped working.
- Drive technical decisions that span multiple teams resolving cross-team design disagreements and building alignment on approaches
- Raise the operational bar for the team: instrumentation and accuracy telemetry operational readiness reviews on-call quality latency and cost efficiency at scale.
- Identify and pursue the highest-leverage engineering work in an area where the roadmap is still being written and make the case for it with data.
- Mentor engineers and scientists on software design testing and production discipline; improve the teams engineering practices through code and design review.
- Represent the teams technical position to senior engineering science and business leaders and to partner teams across the advertising stack.

- 5 years of non-internship professional software development experience
- 5 years of programming with at least one software programming language experience
- 5 years of leading design or architecture (design patterns reliability and scaling) of new and existing systems experience
- Experience as a mentor tech lead or leading an engineering team

- 5 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.

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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 - 150700.00 - 251700.00 CAD annually