Amazon Interview Questions

Last updated by Abhinav Rawat on Mar 20, 2026 at 11:57 AM
| Reading Time: 3 minute

Article written by Shashi Kadapa, under the guidance of Nicholas DeGiacomo, an AI and ML expert, Former Technical Product Manager @ Amazon. Reviewed by Abhinav Rawat, a Senior Product Manager. .

| Reading Time: 3 minutes

Amazon is one of the most sought-after employers in the world, and for good reason — a career here means working at the forefront of e-commerce, cloud computing, and cutting-edge technology. But before you can join this global powerhouse, you’ll need to navigate one of the most structured and challenging hiring processes in the industry.

Amazon’s interview process is deeply rooted in its famous 16 Leadership Principles, which means every question — technical or behavioral — is designed to evaluate how well you embody them. Whether you’re applying for a software engineering role, a product management position, or an operations job, preparation is your greatest advantage.

In this blog, we’ve put together the most commonly asked Amazon interview questions along with practical tips to help you craft compelling answers and walk into your interview with unshakeable confidence.

Key Takeaways

  • The Amazon interview is different because of its focus on Amazon leadership principles over pure technical skill.
  • The Bar Raiser round is the make-or-break stage — even strong technical performers can fail here without LP alignment.
  • Prepare 3–4 flexible STAR stories that can be adapted across multiple leadership principles.
  • All answers must be specific, data-driven, and show clear personal ownership using “I” not “we.”
  • The acceptance rate is less than 1% — structured, authentic preparation is the key differentiator.

What Makes the Amazon Interview Different?

The Amazon interview is different because of its focus on Amazon leadership principles and interview questions over pure technical skill. Amazon’s bar raiser interview round ensures each hire is better than 50% of current employees at that level. The process is highly behavioral, demanding STAR method stories that prove ownership and data-driven results.

Amazon coding interview questions provide a deep dive into various technologies and implementations. Amazon behavioral interview questions use a non-stack ranking — candidates are evaluated against a fixed standard (the bar), rather than being compared against other applicants.

The 16 Amazon Leadership Principles

The Amazon 16 leadership principles are core to Amazon. Amazon leadership principles interview questions focus on these elements and evaluate candidates’ alignment with the principles.

# Principle Summary
1 Customer Obsession Start with the customer and work backwards
2 Ownership Act like an owner; think long-term
3 Invent and Simplify Innovate and remove complexity
4 Are Right, A Lot Use strong judgment and seek diverse perspectives
5 Learn and Be Curious Continuously improve and explore new ideas
6 Hire and Develop the Best Raise the bar with hiring and mentoring
7 Insist on the Highest Standards Maintain high quality and standards
8 Think Big Create bold vision and ideas
9 Bias for Action Move fast and take calculated risks
10 Frugality Achieve more with fewer resources
11 Earn Trust Be honest, transparent, and respectful
12 Dive Deep Stay detail-oriented and data-driven
13 Have Backbone; Disagree and Commit Challenge decisions, then commit fully
14 Deliver Results Focus on outcomes and execution
15 Strive to be Earth’s Best Employer Build a safe, inclusive workplace
16 Success and Scale Bring Broad Responsibility Act responsibly at scale

The Bar Raiser

The Amazon Bar Raiser interview is conducted by a specially trained interviewer whose job is to ensure that every new hire is better than at least 50% of current employees. The interviewer is independent and not from your hiring team, highly experienced, and focused on maintaining Amazon’s hiring quality.

The Bar Raiser ensures that hiring decisions are objective and unbiased, candidates strongly align with Leadership Principles, and the candidate will improve the overall talent pool. They have significant influence and veto power in the final hiring decision. Bar Raisers evaluate leadership principles and focus on customer obsession, ownership, dive deep, deliver results, and earn trust.

💡 Pro Tip

The Bar Raiser is the make-or-break round. Even if you clear all other rounds, performing badly here will ruin your chances of landing the job.

The Loop

The Amazon interview loop is the full, structured set of interviews a candidate goes through before a hiring decision is made. The purpose is to evaluate candidates rigorously across both technical/functional skills and Amazon’s Leadership Principles.

Interviewer Focus
Hiring Manager Role fit, team dynamics
Peer Interviewers (2–4) Technical skills + Leadership Principles
Bar Raiser Deep LP dive + overall bar assessment
Cross-Functional Partner Collaboration, stakeholder management

The Amazon Interview Process: Step by Step

The Amazon interview process has several stages, with multiple rounds in each. This section presents details of each stage and provides tips on how to prepare.

Stage 1: The First Phone Call (Recruiter Screen)

The recruiter phone screen is the first human interaction in Amazon’s hiring process. The recruiter may be a non-technical person and screens you for confidence, sincerity, your project experience, and role alignment. The round lasts 20–30 minutes and is conducted by phone or video call.

Area What Recruiter Checks Example Questions
Introduction Background overview “Tell me about yourself”
Role Fit Skills vs job role “What technologies have you worked on?”
Motivation Why Amazon “Why do you want to join Amazon?”
Experience Past work “Explain your most recent project”
Behavioral (Light) Leadership Principles “Tell me about a challenge you faced”
Logistics Availability, location “Are you open to relocation?”
Compensation Salary expectations “What are your expectations?”

Further Reading: Amazon Phone Interview Questions

Stage 2: The Take-Home Test

Some candidates are given a take-home test to submit within 12–24+ hours, while others face timed tests in an AI environment, a work simulation, MCQs, or a coding test. Evaluation is for code quality, system thinking, problem-solving approach, and documentation and communication. Responses are checked for AI and plagiarism.

Component What You’ll Do What They Evaluate
Problem Statement Build a feature/system Understanding requirements
Coding Write working solution Clean, efficient code
Design Structure your solution Scalability and architecture
Documentation Explain your approach Clarity and communication
Testing Add test cases Reliability and edge cases

Stage 3: The Panel Day (The Loop)

Depending on the level and role, you will face a series of 4–5 back-to-back interviews on the same day or split across days. Amazon evaluates your technical skills, system design (for experienced roles), leadership principles, and cultural fit. This stage determines if you qualify for the Bar Raiser round and the hiring decision.

Round Type Focus What They Evaluate
1 Coding DSA problem Problem-solving, optimization, medium to hard problems on arrays, graphs, trees, DP
2 Coding DSA / real-world problem Code quality, edge cases, clean code, time and space complexity discussion, cultural fit
3 System Design (SDE2+) Architecture Scalability, trade-offs, high-level architecture, database choices, CAP theorem, scaling, caching
4 Behavioral Leadership Principles Ownership, conflict, impact, customer obsession, dive deep, earn trust
5 Bar Raiser Mixed (behavioral + problem solving) Hiring bar, consistency, leadership principles at deepest level, judgment and decision-making, consistency across all rounds

Further Reading: How to Prepare for an Amazon Onsite Interview

Amazon Behavioral Interview Questions by Leadership Principle

1. Customer Obsession

  • Tell me about a time when you disagreed with a decision that negatively impacted customers.
  • Describe a situation where you had to balance customer needs with business constraints.
  • How have you used data to improve customer satisfaction?
  • Tell me about a time you received negative customer feedback.

2. Ownership

  • Describe a situation where you had to make a long-term vs short-term trade-off.
  • Have you ever made a decision without complete information?
  • Tell me about a time you took ownership of a problem outside your responsibility.
  • Describe a time you identified a problem no one else noticed.
  • Narrate a time you failed while owning a project.

3. Invent and Simplify

  • Describe a complex problem you simplified for others.
  • Describe a situation where you had to innovate under constraints.
  • Have you ever improved an existing system significantly?
  • Tell me about a time you built something new from scratch.
  • Describe a situation where you simplified a complex process.

4. Are Right, A Lot

  • Describe a situation where your intuition was correct.
  • How do you make decisions when data is incomplete?
  • Describe a decision you made that others disagreed with.
  • Tell me about a time you made a high-impact decision quickly.
  • Explain an incident when you solved a complex problem.

5. Learn and Be Curious

  • Describe a situation where you had to learn something outside your comfort zone.
  • What’s the most recent thing you learned?
  • How do you stay updated with new technologies?
  • Describe a situation where learning changed your approach.
  • Tell me about a time you failed because you didn’t know something.

6. Hire and Develop the Best

  • Describe how you helped a team member improve performance.
  • Tell me about a time you made a wrong hiring decision.
  • How do you raise the bar in your team?
  • Describe a time you identified hidden potential in someone.
  • Tell me about a time you gave constructive feedback.

7. Insist on the Highest Standards

  • Describe a situation where you refused to compromise on standards.
  • Describe a situation where you had to fix poor-quality work.
  • Tell me about a time you let quality slip and what happened.
  • Tell me about a time you found a defect others missed.
  • How do you ensure high quality in your work?

8. Think Big

  • Detail an incident where you solved a problem in a way that changed the direction of a project.
  • Given unlimited resources, what would you build and why?
  • Explain the process to identify opportunities for disruptive innovation.
  • Describe an ambitious technical or system design decision you’ve made.

9. Bias for Action

  • Detail an incident where you made a fast decision under pressure.
  • Explain a situation where you had to rely on judgment instead of analysis.
  • Describe a case where you traded off long-term optimization for immediate results.
  • Tell me about a time your quick action prevented a major issue.

10. Frugality

  • Describe an incident where you achieved results with limited resources.
  • Detail the method you used to improve efficiency in a process.
  • Describe an innovation you made due to a lack of resources.
  • Explain your reasoning for a spend vs. save decision.

11. Earn Trust

  • How will you build trust with a difficult stakeholder?
  • Detail a time when you disagreed with your manager, and how you handled it.
  • Have you ever failed and taken full responsibility?
  • How do you handle cases where trust is broken?

12. Dive Deep

  • Detail an incident where you identified the root cause of a complex problem.
  • What is your process to approach problems with no clear starting point?
  • Give an example of when your thoroughness prevented a failure.
  • Describe an incident where you challenged a widely accepted assumption.

13. Have Backbone; Disagree and Commit

  • Have you ever challenged a decision made by leadership?
  • Detail an incident where you pushed back despite resistance.
  • Explain the process to decide when to push harder vs. when to commit.
  • What did you do when you were wrong after strongly disagreeing?

14. Deliver Results

  • Detail a project where you turned around a failing project.
  • How do you track and measure success in your projects?
  • What do you do when you fail to meet a goal?
  • Did you ever cut scope to meet a deadline?

15. Strive to be Earth’s Best Employer

  • Explain the process you use to ensure that all voices are heard.
  • Have you helped others grow in their careers?
  • Describe a situation when you handled a sensitive team issue.
  • How do you deal with toxic behavior in a team?

16. Success and Scale Bring Broad Responsibility

  • Describe a product that impacted a large number of users.
  • Explain an incident when you prioritized customer trust over business gains.
  • What did you do when your decision had unintended consequences?
  • What process do you follow to ensure your work aligns with broader organizational values?

How to Answer Amazon’s People Questions: The STAR Method

The STAR framework is a four-step structure for answering behavioral questions, technical case studies, or compelling stories about your experiences.

  • S — Situation: Set the scene. Briefly describe the context or background — where you were, what role you had, and what circumstances you were facing.
  • T — Task: Explain your responsibility. What was expected of you? What problem needed solving or goal needed achieving?
  • A — Action: This is the heart of your answer. Describe specifically what you did — the steps you took, decisions you made, and how you approached the challenge.
  • R — Result: Share the outcome. What happened because of your actions? Quantify it if you can (e.g., “increased sales by 20%”, “reduced turnaround time by 2 days”) and reflect on what you learned.

Comparison of Good and Bad STAR Answers — Tell me about a time you dealt with a difficult customer:

Element ❌ Bad Example ✅ Good Example
S — Situation I once had an angry customer. I was a support lead during a product outage that affected 200+ enterprise clients simultaneously.
T — Task I had to make them happy. I needed to retain a key account worth $150K ARR that was threatening to cancel within 24 hours.
A — Action I talked to them and sorted it out. I personally called the client, acknowledged the failure without deflecting, offered a concrete SLA credit, and set up hourly status updates until resolution.
R — Result They were happy in the end. The client stayed, renewed their contract 3 months later, and I used the incident to build a new escalation playbook adopted across the team.
Overall Vague, passive, no ownership, no data Specific, accountable, data-driven, shows leadership beyond the immediate fix
💡 Pro Tip

The interviewer will keep asking follow-up questions if your answer is vague. The more specific you are, the less they need to dig.

Amazon Problem-Solving Interview Questions

Tips to ace Amazon interview questions in 2026

Amazon coding interview questions are on several domains, technologies, tools, and processes. The intensity and depth of questions depend on your seniority, role, and the level at which you are considered. For roles that involve building things, expect two problem-solving questions per session. Talk and think aloud as you solve the problem.

Further Reading: Top Algorithms for Coding Interviews

Amazon System Design Questions

Amazon system design questions are intense, and you will be asked to design planet-scale systems that handle millions of events per second. Amazon expects a thinker like a principal engineer who has been burned by real-world failures — discussions on scale, trade-offs, operational concerns, and alignment with Amazon’s leadership principles.

In Amazon system design rounds, show customer-first architecture, opinionated decision-making, operational excellence, cost awareness, and proactive failure handling.

Real questions asked in real interviews
Amazon System Design Questions
  • How will you design a global e-commerce platform like Amazon?
  • Describe the design of a real-time analytics pipeline.
  • How will you design a metrics monitoring system?
  • Present the design of an event-driven microservices architecture.
  • Design a recommendation system.
  • How will you design a ride-sharing system like Uber?

Tips to Crack the Amazon Interview

1. Have a Story Ready for Every One of the 16 Values

Amazon leadership principles interview questions can be asked randomly on any one or more of the principles. Prepare STAR stories for all of them. Create 3 or 4 stories that can be tweaked and used for more than one value — and if possible, link your stories to multiple principles so you’re not starting from scratch each time.

2. Spend More Time on What YOU Did, Less on the Background

When narrating a story on the STAR framework, be concise and exact on the Situation and Task elements, and elaborate on the Action and Result elements. Amazon wants to know specifically what you did — use “I” not “we.”

3. Put Numbers in Your Results

In the Result element, use specific metrics such as “cutting the implementation time from 4 hours to 30 minutes.” If exact numbers are not available, give a rough estimate. Vague results leave a poor impression.

4. Get Ready for Follow-Up Questions

In Amazon leadership principles interview questions, topics are often complex with interrelated areas. Be prepared for follow-up questions that probe deeper. These questions will let interviewers know whether you have thought through the full impact of your decisions.

5. Treat the Bar Raiser Like Any Other Interviewer

The Bar Raiser is usually skeptical of all claimed achievements and only wants to find candidates who are better than 50% of Amazon employees. Use the same approach to answer questions as you use for other rounds — don’t change your style or over-explain.

6. Use Real Stories, Not Perfect-Sounding Ones

Amazon interviewers can tell if a story is made up or beyond reality. They want genuine and specific answers that don’t have to be perfect. A story of your failure and how you tried to improve is appreciated more than a fictitious, made-up success narrative.

How to Prepare for the Amazon Interview: A Simple Week-by-Week Plan

Week Focus What to Do
Week 1 Get to know Amazon Read through the 16 values. Watch a few interviews with Amazon leaders. Understand how the panel day works.
Week 2 Build your stories Write out one real story for each of the 16 values using the STAR framework. Say them out loud.
Week 3 Practice and sharpen Do practice runs with a friend or out loud to yourself. Work on problem-solving questions. Tighten your stories.

Simulate Real Tech Interviews and Improve Faster

Technical interviews aren’t just about solving problems—they’re about performing under pressure. The Technical Mock Interviews program by Interview Kickstart gives you live interview practice with hiring managers from top tech companies. You’ll face real-world questions across coding, system design, and specialized domains, along with personalized feedback that actually helps you improve.

With structured coaching and repeated practice, you’ll learn how to communicate clearly, think strategically, and handle interview pressure with confidence. The program also strengthens your fundamentals across data structures, algorithms, and system design while sharpening your overall interview approach. If you want to walk into interviews prepared instead of guessing your way through them, this is the smarter way to practice.

Conclusion

This guide presented Amazon interview questions for every round and every question type. The focus was to help you understand and prepare for the Amazon leadership principles interview questions. Interview questions are based on the 16 Amazon leadership principles — understand each principle and what it means to Amazon, and this approach will help you crack the Amazon behavioral interview questions.

Prepare use cases for the principles using the STAR framework. The stories must be realistic and not fiction. Amazon accepts failures provided you show that you tried, took responsibility, and learned from the experience.

FAQs: Amazon Interview Questions

Q1. How hard is the Amazon interview?

Amazon interviews are tough, and less than 1% of candidates are selected. However, it is not impossible — adequate preparation can help you secure the coveted job.

Q2. How many rounds are in the Amazon interview?

Amazon interviews have three main stages with multiple rounds in each. You must perform well in each round to move to the next.

Q3. What are Amazon’s 16 Leadership Principles?

The 16 Amazon Leadership Principles are: Customer Obsession, Ownership, Invent and Simplify, Are Right a Lot, Learn and Be Curious, Hire and Develop the Best, Insist on the Highest Standards, Think Big, Bias for Action, Frugality, Earn Trust, Dive Deep, Have Backbone/Disagree and Commit, Deliver Results, Strive to be Earth’s Best Employer, and Success and Scale Bring Broad Responsibility.

Q4. What is the Amazon Bar Raiser?

An Amazon Bar Raiser round is administered by a specially trained, experienced employee who acts as an objective third-party advisor in the hiring process. Their primary goal is to ensure that every new hire “raises the bar” — meaning they are better than at least 50% of current employees in similar roles.

Q5. How do I prepare for Amazon’s people questions?

Read and understand Amazon’s 16 leadership principles. Create a story bank with the STAR framework and map stories to the principles. Prepare both success and failure stories that sound authentic. Read blogs, watch podcasts by Amazon leaders, and attend mock interviews.

References

Applied Scientist Interview Prep

Amazon Leadership Principles

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