Do you want to build the premium shopping experiences for millions of Amazon customers? Do you want to work on performance challenges for providing the best recommendations in less than 200 milliseconds, given millions of customers and millions of products? Are you interested in working on Machine Learning and data science, believing every customer should not have the same experience? Then Amazon MAKO has a role for you.
The Bundles and Upsell team within Amazon Devices is looking for an experienced, results-oriented, full stack software engineer capable of building world class customer experiences on the Amazon Retail Website. We are looking for a candidate that is creative and innovative, and takes great pride in both the deep technical contribution and the positive business results of their work. We own highly scalable and robust platforms to provide the best shopping experience for buying Amazon devices, including Fire tablets, Kindle e-readers, Echo, Fire TV, and range of other devices that touches all the pages on Amazon.com.
As a Software Development Engineer, you will be responsible to lead some of the key strategic initiatives on the Bundles and Upsell roadmap that will involve getting your hands dirty with machine learning, big data technologies, customer segmentation and traffic patterns, and using some of the latest technologies available in the space of website development. This engineer will also be responsible to lead and develop other talented engineers on the team. This position requires working closely with product managers, UX designers and convert their vision into technical solutions.
The software engineering position requires in-depth knowledge of design patterns, data structures and algorithms, and good understanding of web development and client/ server architecture. This is a high-visibility and fast-paced environment where you will make a direct impact on customers and on the bottom line of the company.
Amazon is a company operating a marketplace for consumers, sellers, and content creators.