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. .
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.
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 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 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.
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 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 has several stages, with multiple rounds in each. This section presents details of each stage and provides tips on how to prepare.
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
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 |
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
The STAR framework is a four-step structure for answering behavioral questions, technical case studies, or compelling stories about your experiences.
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 |
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 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 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.
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.
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.”
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.
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.
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.
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.
| 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. |
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.
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.
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.
Amazon interviews have three main stages with multiple rounds in each. You must perform well in each round to move to the next.
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.
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.
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.
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