Software Development Engineer, SandOP

Have you ever ordered a product on Amazon and when that box with the smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon? If so, the Amazon Global Supply Chain Optimization team (SCOT) is for you.

We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon's warehouses in the most cost-effective way. Our forecasts and historical data drive automated downstream systems to make critical buying, labor planning, and inventory routing decisions world-wide.

As a Software Development Engineer on the SCOT team, you'll:

• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.

Our team owns and operates Sales and Operations Planning (S&OP) technology used in planning and controlling the flow of inventory, storage space, and labor constraints. We generate forecasts and optimize plans using multiple Machine Learning and traditional models for various flows like arrivals, shipments, transfers, or customer returns.

The Integrated Planning Tool (IPT) has a collaborative web-based interface used by thousands of technical and non-technical users, supporting manual overrides, Excel integration, and data visualization. Our systems collect and persist data actuals, which we use to track accuracy, train models, and re-publish alongside forecasts.

Join us to solve complex supply chain optimization problems and help make multi-billion dollar decisions about steering Amazon's network, particularly around Prime Days and Peak seasons.