Build agentic diagnostics and analytics services that explain catalog changes across billions of Amazon products

Amazon's Catalog Diagnostics and Analytics (CDA) team, part of Selection and Catalog Systems, owns one of Amazon Retail's largest data lakes and is building GenAI/agentic solutions to make catalog changes transparent and explainable at billion-product, 100K-TPS scale. This SDE role sits at the intersection of production-grade transactional systems, large-scale information retrieval, and emerging agentic architectures — full ownership from design through deployment.

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可能的面试形态

Typical Amazon SDE loop: online assessment/phone screen, then onsite/virtual loop with coding, system design, and Leadership Principles behavioral rounds including a bar raiser.

这场面试考什么

Agentic system design for production-grade accuracy and reliability at scale
Data provenance / audit-trail design for explainability
Large-scale distributed systems fundamentals (OOD, multi-threaded, multi-tiered)
Working with petabyte-scale multimodal data pipelines
GenAI/LLM integration practices: prompt engineering, RAG, agentic architectures