Software Engineer 4 - Graph Search

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Description

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. About the Team The Graph Search team is responsible for building and operating the highly scalable Search-as-a-Service platform that powers search and intelligent discovery across Netflix's internal studio and production applications. Our system streamlines search functions across diverse workflows, allowing hundreds of internal applications and thousands of studio professionals to quickly find, filter, and retrieve highly structured data. We handle massive data volumes and complex relationships, moving data from transactional source systems into eventually consistent search indices in near-real-time. Most recently, our team has expanded into the intersection of search and AI, taking ownership of intelligent chat-based interfaces that allow users to discover and explore content data using natural language. The Scope of Work As an engineer on our team, your tasks will span standard backend engineering as well as deep distributed systems challenges. You will work on optimizing high-throughput data pipelines, managing a massive index topology across large search clusters, and introducing intelligent query-orchestration mechanisms. Check out the following tech blogs to learn more about the Graph Search platform: How Netflix Content Engineering makes a federated graph searchable How Netflix Content Engineering makes a federated graph searchable (Part 2) Reverse Searching Netflix’s Federated Graph The AI Evolution of Graph Search at Netflix: From Structured Queries to Natural Language See the video to learn more about the entire Infrastructure & Solution team: Content Infrastructure & Solutions Team Key Responsibilities Feature Development and Own

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