Software Development Engineer 2, Amazon Business
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's Risk Management Team has a worldwide reputation as the #1 in eCommerce Fraud Prevention. Trust and Safety of our customers comes first. We thrive on maintaining the highest bar of customer experience while we maintain those tenets. Do you want to join a team that uses technology including machine learning and statistical modeling techniques, cloud computing services, and highly available and scalable distributed systems that support hundreds of millions of transactions across the globe? The Unified Risk Evaluation System team owns the charter of evaluating bad actor risk of all kinds (Buyer, Seller, Vendor) across entities such as Orders, Purchases, Signins, and any event that will be useful to evaluate risky behavior. We process every single order and purchase in real time, totaling more than 50 billion evaluations in a year, saving billions of dollars that would otherwise be lost to bad actors. We build self‐service capabilities to experiment with new machine learning models and make it easy to onboard and manage hundreds of risk use cases all over the world. We are the gatekeepers of customer trust by preventing bad actors from damaging good customers or scamming Amazon. The problems we solve challenge the best in terms of scale, ingenuity of bad actors, and the cost of making risk decisions through bold goals such as automating 100% of risk decisions or reducing fraud and abuse by 50% year over year. Come join the best‐in‐class team of engineers who are owners and inventors. We are at the intersection of machine learning and security while delivering customer impact at Amazon scale. xrdztoy Interact with ML scientists on a daily basis and build the platform to keep the bad guys out.
Basic Qualifications
4+ years of non‐internship professional software development experience
4+ 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
Preferred Qualifications
4+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's 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.