Free tool · no sign-up · 4 interview rounds
Generate AI-powered Amazon interview questions for all 4 rounds. Process: Online Assessment → Technical × 2 → Bar Raiser.
From our curated bank of 10 Amazon-specific questions. The generator produces fresh AI-tailored questions each run.
What are Amazon Leadership Principles and how many are there?
Tip: Amazon has 16 Leadership Principles (LPs): Customer Obsession, Ownership, Invent and Simplify, Are Right A Lot, Learn and Be Curious, Hire and Develop the Best, Insist on Highest Standards, Think Big, Bias for Action, Frugality, Earn Trust, Dive Deep, Have Backbone, Deliver Results, Strive to be the World's Best Employer, Success and Scale Bring Broad Responsibility.
Tell me about a time you demonstrated Customer Obsession.
Tip: STAR format strictly. Customer Obsession: you made a decision that cost you time/resources but was clearly right for the customer. Avoid abstract answers — specific metrics matter ("reduced ticket resolution time by 40%"). Bar Raiser will probe for depth: "what were the alternatives you considered?"
What is the Bar Raiser role in Amazon's interview process?
Tip: Bar Raiser: a trained interviewer from outside the hiring team who ensures each new hire raises the bar. They have veto power. They focus on LPs, not just technical skills. To prepare: have diverse STAR stories covering multiple LPs — the Bar Raiser often asks cross-LP questions like 'how did you balance Dive Deep with Bias for Action?'
Given a sorted array with duplicates, find the first and last position of a target element.
Tip: Two binary searches: one finds the leftmost occurrence (when arr[mid] == target, continue searching left), one finds the rightmost. O(log n) each. If the array were unsorted, O(n) linear scan. Amazon expects O(log n) — always ask about input properties before coding.
Design Amazon's order management system at scale.
Tip: Start with requirements: 10M orders/day. Core: order service → inventory service → payment service → fulfillment service via async events (SQS/Kafka). Database: relational for order state transitions, NoSQL for catalog. Eventual consistency between services — show how to handle payment failure after inventory reserved.
Practise questions for each stage to maximise your preparation.
Upload your resume and get scored on technical depth, communication, structure, confidence, and relevance — the same criteria Amazon panels use.