Amazon

Design an E-Commerce Platform (Amazon)

Design an Amazon-scale e-commerce platform that lets 200M monthly users browse 100M SKUs, add items to a cart, check out, and have orders fulfilled from regional warehouses. The interview centerpiece is the order lifecycle: how to reserve inventory atomically while a customer is on the checkout page, how to chain cart-to-payment-to-fulfillment as a saga with compensating actions, and how to make checkout idempotent so a flaky network never charges a customer twice. We also cover catalog browse at scale, multi-warehouse fulfillment routing, and the asymmetric read/write workload that makes aggressive catalog caching the right call.

Amazon: Leadership Principles Deep Dive

Amazon's behavioral loop is the most legible behavioral process in big tech. Every question maps to one of the 16 Leadership Principles, every interviewer is trained to score against a specific subset, and every loop includes a Bar Raiser whose job is to veto candidates who do not meet the published bar. This lesson walks through the principles that actually carry the most weight in practice, the loop format including the Bar Raiser, the value-to-question mapping interviewers use, and two fully worked LP-tailored model answers. After this lesson you will know which 6 to 8 stories to pre-bank, how to frame them in Amazon's own language, and what specific signals make an Amazon interviewer write 'inclined' versus 'not inclined' on the debrief form.