Amazon interviews are unique in their heavy emphasis on behavioral questions based on their 16 Leadership Principles. Expect roughly 50% of your interview to be behavioral, with the rest split between coding and system design.
Use this guide as an execution checklist: align your prep to each round, rehearse examples for behavioral depth, and run timed technical sessions to validate speed and clarity. Most candidates improve faster when they combine targeted study with regular simulation rather than solving questions at random.
Coding challenges on HackerRank or their internal platform. Usually 2 medium-difficulty problems.
One coding question + Leadership Principles behavioral questions. Conducted by a single interviewer.
4-5 back-to-back interviews. Each interviewer focuses on 2-3 Leadership Principles + technical questions.
One interviewer is a "Bar Raiser" from another team who has veto power. Ensures hiring bar stays high.
Leadership Principles stories using STAR method
Medium-hard LeetCode style, often arrays/strings
Design scalable systems (L5+)
Amazon evaluates every candidate against these 16 principles. Prepare STAR stories for each.
These coding patterns appear frequently in Amazon interviews.
Cross-training on adjacent company loops improves adaptation. These guides cover similar coding, system design, and behavioral expectations.
We have questions tagged from real Amazon interviews. Practice with FSRS spaced repetition to ensure you remember patterns when it counts.
Pair this guide with topic practice and timed simulation so you can move from knowledge to interview execution.
Keep a short weekly retrospective with three notes: what improved, what stalled, and what you will change next week. That feedback loop makes company-specific prep more consistent and reduces last-minute cramming.