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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Free · a live voice mock calibrated to this exact role

Practice this interview

Likely format

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.

What this interview tests

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