Software Engineer, SCOT-Fulfillment Optimization

Are you looking to solve fascinating optimization problems and build distributed systems and solve sophisticated problems for alert, knowledgeable, and demanding customers? Do you want to deliver real value to millions across the globe and have you work translate in direct impact on the largest online commerce business in the world? Do you get excited by being in the same room with large groups of deeply intelligent and seemingly tireless people? Do you have real passion for real software engineering?

Amazon’s Supply Chain Optimization Technologies (SCOT) is looking for experienced software engineers who want to build Amazon’s next generation of procurement systems. Our software is used by every country Amazon services, and is a critical link to ensuring the products our customers want are available when they need them.

As an SDE in SCOT, you’ll work closely with some of the brightest software engineers, research scientists, and product managers to solve highly complex supply chain challenges. You and your fellow engineers are responsible for designing the architecture, building the software, and working with the team to deploy your solutions across the globe. SCOT is a unique opportunity to both create and see the direct impact of your work on billions of dollars’ worth of inventory in one of the world’s most advanced supply chains, and at massive scale.

You should be comfortable diving deep into technical architectures and requirements, be able to quickly identify solutions to challenges discovered during development, and ready to work with some of the latest cloud computing technology. Prior experience building stable, scalable, solutions is required. Prior experience with data mining, databases, or massively parallel systems is a plus. Successful candidates will thrive in fast-paced environments that leverage agile planning techniques, encourage and reward creative design, intelligent risk taking, and find innovative ways to leverage cutting edge technology.

Key job responsibilities

• Owning and working on an end-to-end cycle of Amazon package flow optimization software, data pipelines, and warehousing
• Deep diving into the data based on anecdotes or aggregate patterns
• Invent and implement anomaly detection systems and visualization systems that allow to detect and explain deviations from planned values
• Implement GenAI driven automation to detect new opportunities to achieve better values for aggregate metrics and communicate them
• Leverage latest network optimization science to improve the precision and accuracy of optimization software, and make the outcomes explainable