Build, scale, and maintain backend APIs and services for a global media streaming platform. Collaborate with client teams, ensure performance and reliability, debug complex distributed systems, participate in architecture and code reviews, and join on-call rotations to maintain service availability.

Design, build, and productionize end-to-end ML and LLM-powered recommendation features: architect data pipelines for massive datasets, train and serve models, integrate real-time stores and APIs, set up monitoring and A/B testing, debug distributed systems, and collaborate with Product, Design, and Engineering to deliver scalable personalization.