The Amazon Search team builds the search engine that powers Amazon's world wide shopping experience. Whenever a customer searches or browses using an Amazon website or application, we connect them to the products and services they are looking for.

Search Science Data Infrastructure team is responsible for delivering high quality and fresh ML model training data, and providing seamless access to all ML artifacts through managed Federated Data Lake infrastructure. This big-data platform provides the ML training data to Amazon search ranking, matching quality, search economics and also powers live-site features, including search suggestions, query understanding, spelling, search result ranking, and personalization. More than 350 teams across Amazon consume our datasets.

Key job responsibilities
As a Software Development Engineer you will:


Design & Develop
- Design, write code, and ultimately deploy big data and machine learning services. These services define the foundation of our search R&D processes, supporting science, product development and production of the world’s largest product search engine.

- Possess good knowledge in performance, large scale distributed system scalability, system architecture, and engineering best practices.

Operational Excellence
- Obsess over operational excellence, evaluate system performance, security, design system metrics and driving quality improvements

- Obsess over customer needs and satisfaction


In this role, you’ll work on the hardest problems, building high quality, architecturally sound systems that are aligned with our business needs and built to handle Amazon's world wide scale. Your expertise is deep and broad; you’re hands on, producing both detailed technical work and high-level architectural designs.