SystemDevelopmentEngineer,XFN(Cross-BorderFulfilmentNetwork)

Are you passionate about solving technical challenges? Do you thrive in a dynamic, high-impact environment? Join EU INTech's XFN (Cross-Border Fulfilment Network) team as a System Development Engineer and help us drive the growth of the XFN Program. The XFN's mission is to serve customers and accelerates the flywheel by reducing sourcing costs, increasing selection, and availability by removing country borders as a barrier between supply and demand. Formed out of the convergence of the European Fulfillment Network (EFN) and the North America Fulfillment Network (NAFN), XFN is the only program at Amazon that supports WW intra-regional retail inventory sharing across 14 stores and 3 networks (EFN, NAFN, and FEFN) in EU, NA and FE regions. As a System Development Engineer on XFN, you will join the team that supports services responsible for world-wide cross-border inventory eligibility management. You will be owning deployments, automation, scaling, and solving operations with software across our systems. This will include identifying and resolving issues, automating and improving repetitive processes, and working closely with the development team to identify operational needs. You will become intimately familiar with the architecture of our systems, and be responsible for diving deep into code, while developing solutions for our customers and services. You’ll drive prioritization of operational issues, and drive automation design and scaling requirements in support of the wider organization. You will get the opportunity to work closely with a great team of software developers who will help you grow. Key job responsibilities The ideal candidate must be detail oriented, have excellent verbal and written communication skills, and strong organizational skills, able to juggle multiple tasks at once, able to work independently and can maintain professionalism under pressure. You must be able to identify problems before they happen and implement solutions that detect and pre