Software Dev Engineer II, Amazon Search

Overview

- 2+ years of non-internship professional software development experience - 2+ 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
The Amazon Search team creates customer-focused search and advertising solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search services go to work. We design, develop, and deploy high performance, fault-tolerant distributed search systems used by millions of Amazon customers every day. Our Search Relevance team works to maximize the quality and effectiveness of the search experience for visitors to Amazon websites worldwide. Amazon has grown rapidly and will continue to do so in foreseeable future. Providing a high quality search experience is a unique challenge as Amazon expands to new customers, countries, categories, and product lines. We are seeking software engineer to join the Relevance India team. This team’s charter is to increase the pace at which Amazon expands and improve the search experience at launch. In practice, we aim to create infrastructure and build innovating solutions that reduces the time and effort needed for expansions and improve the search experience on the day of the launch. Key job responsibilities - Design, develop, and implement production level code that serves search requests. - Own the full development cycle: design, development, impact assessment, A/B testing (including interpretation of results) and production deployment. - Design and apply data driven and machine learning techniques to provide optimal ranking. - Develop new ranking features and techniques building upon the latest results from the research community. - Collaborate with other engineers and scientists within to find technical solutions to complex design problems. - Participate in aspects of the R&D process, from experimenting with new ideas to exploring new techniques. - Get exposure to large scale use of various AWS components such EC2, S3, EMR, SQS, SNS, etc. - Take ownership. Understand the needs of various search teams, distil those into coherent projects, and implement them with an eye on long-term impact. - Be a leader. Use your expertise to set a high bar for the team, mentor team members, set the tone for how to take on and deliver on large impossible-sounding projects. - Be curious. You will work alongside systems engineers, machine learning scientists, and data analysts. Your effectiveness and impact will depend on discussing problems with and learning from them.