Customers should be able to trust every deal they see on Amazon, and sellers should be able to offer genuine deals with confidence. Our team makes both possible. We own Amazon's record of what products have cost, which helps confirm that deals deliver real savings and helps customers decide whether now is a positive time to buy.
The scale is rare. You will build systems that process price and order data for millions of products, every day, across Amazon's stores in more than a dozen countries. That data feeds dozens of systems across Amazon, from the deal and promotion tools sellers and vendors use to the price history customers see on product pages and the answers AI shopping assistants give about past prices. During Prime Day and Black Friday, your systems have to stay accurate and fresh under the heaviest shopping load of the year.
We are bringing our historical price systems together onto one shared record, so customers, sellers, and partner teams all see the same history. You will help design and deliver that change while the systems keep running in production,



and you join while the architecture is still being set.
Key job responsibilities Design, build, and operate large-scale data pipelines that process price and order data for millions of products every day.
Build data-quality checks and anomaly detection that keep the historical price record accurate and trustworthy at that scale.
Deliver key parts of the move onto one shared price-history platform, using parallel runs, shadow testing, staged cutovers, and retirement of legacy components.
Make price data fresher by moving batch processing toward event-driven designs where freshness matters most.
Own operational readiness for peak shopping events such as Prime Day and Black Friday, including capacity testing, monitoring, alarms, and on-call.
Build tools that help sellers, vendors, and internal teams understand and trust the price data behind their deals.
Define clear data contract

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📌 Software Development Engineer II, Price Perception and Evaluation (British Columbia)
🏢 Teamblind
📍 British Columbia