Description Amazon Stores Customer Service (ASCS) team's vision is to be Earth’s most trusted customer service team. We continuously raise the bar to exceed customers’ ever-changing expectations. It is top ranked for developing solutions because we are passionate about our customers and giving our Associates all the high quality tools needed to provide world class care. WW Concession, part of ASCS, develop and scale products and services that enable customers, CSAs, and Amazon employees to process concessions in an automated, secure and consistent way. Concessions are remediation issued to customers in response to a defect to rectify bad customer experiences and rebuild their trust. The product portfolio includes customer-facing experiences, automation products, policy system and concession issuance workflows. As a Principal Engineer with our organization, you will define the technical vision for the next generation of our systems which will work at global scale. This role will give you the opportunity to influence a large group of product owners, software engineers, machine learning experts, and data scientists globally. You will decompose complex problems into simple, straightforward solutions that can be used across Amazon’s businesses and subsidiaries. By working on the hardest problems and leading the architectural direction of our most ambitious ideas, your decisions will have a significant impact on Amazon’s business results and improve the shopping experience for millions of customers. Our organization develops software that spans across the full stack with a wide range of technical challenges. You will drive software innovations to improve performance and cost. You will lead the team in raising the bar with quality, security and operational excellence. Creating a reliable, scalable, and flexible service requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience building large-scale distributed systems. The ideal candidate will possess excellent customer engagement and communication skills as well as the technical background to fluently interact and provide guidance to software developers and architects. Come join us and help solve a challenging set of problems in a space packed full of opportunities. Key job responsibilities Create & lead a bold tech vision to create a global program at scale Serve as a technical lead on our most demanding, cross-functional projects. Ensure the quality of architecture and design of systems. Functionally decompose complex problems into simple, straight-forward solutions. Fully and completely understand system interdependencies and limitations. Possess expert knowledge in performance, scalability, distributed architecture, and engineering best practices. Leverage knowledge of internal and industry prior knowledge in design decisions. Effectively research and benchmark Amazon technology against other competing systems in the industry. Contribute intellectual property through patents. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. We are open to hiring candidates to work out of one of the following locations: Hyderabad, TS, IND Basic Qualifications Bachelor’s degree in Computer Science or - related field. Strong technical credentials, with at least 12 years of technical engineering leadership, with 5 years of experience in large scale distributed system development including hands on operational experience. Proven experience with full development life cycle for large-scale software products including extensive experience with service-oriented architectures, design patterns and web services. Strong knowledge of data structures, algorithms, asynchronous architectures and distributed algorithms. In-depth knowledge of system programming. Experience mentoring/training an engineering community on development best practices Excellent leadership, verbal and written communication skills Preferred Qualifications Masters or PhD in Computer Science, Software Engineering or related fields. Knowledge in machine learning, natural language processing, data mining, predictive analysis, Big Data analytics, or information extraction Deep understanding of system performance tradeoffs, load balancing, and engineering for high availability. Company - ADCI HYD 13 SEZ Job ID: A2400047