Amazon Interview Questions: Leadership Principles, the Bar Raiser & How to Prep

Amazon’s hiring process is famously structured, and Amazon interview questions are almost never random. Nearly every question maps back to one of the company’s 16 Leadership Principles, and your job is to prove — with specific, data-backed stories — that you already work the way Amazon expects its leaders to. Get the framework right and the interview stops feeling like a guessing game.

This guide breaks down how the loop works, what the Bar Raiser is really evaluating, and the behavioral and technical questions you should be ready for.

How the Amazon interview process works

The process usually runs four to eight weeks and follows a predictable path:

1. Application & resume review — screened by recruiters and automated systems.
2. Online assessment (OA) — a coding test for technical roles, or a work-style/personality assessment for non-technical ones.
3. Phone screen — a 45–60 minute interview with a recruiter, hiring manager, or peer.
4. The “Loop” — four to six back-to-back interviews (now usually virtual), each about an hour.
5. Debrief — interviewers meet, led by the Bar Raiser, to make a hire/no-hire decision.

In a technical phone screen, expect a short behavioral warm-up followed by 30–45 minutes of live coding. In the loop, each interviewer is assigned specific Leadership Principles to probe and will take detailed notes while you talk — that’s normal, not a bad sign.

The 16 Leadership Principles drive everything

You can’t pass an Amazon interview without understanding the Leadership Principles (LPs). They aren’t poster slogans — interviewers are trained to assess against them directly. The 16 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
• Success and Scale Bring Broad Responsibility

You don’t need to recite them, but you should know what each means and have stories that demonstrate the ones most relevant to your role.

Answer with the STAR method

Amazon interviewers expect structured behavioral answers, and the STAR method is the format they’re listening for:

• Situation — brief context (keep it short).
• Task — your specific responsibility or the problem.
• Action — what you did. Say “I,” not “we,” and spend most of your answer here.
• Result — the outcome, with real numbers wherever possible.

The single most common mistake is being vague on Action and skipping numbers on Result. “I improved efficiency” says nothing. “I cut manual data entry by ~15 hours a week, saving roughly $30K a year” gets remembered. For a deeper walkthrough of structuring these stories, see our guide to behavioral interview questions.

Example behavioral questions by principle

Map each question to its principle and answer with STAR:

Customer Obsession

• Tell me about a time you used customer feedback to drive a significant change.
• Describe a time you sacrificed short-term gain to fix something that frustrated customers.

Ownership

• Tell me about a time you took on something outside your direct scope because it needed doing.
• Describe a project you owned end-to-end, including a problem you didn’t cause but fixed anyway.

Invent and Simplify

• Tell me about a complex process you made simpler.
• Describe a time you solved a problem with limited budget or resources.

Are Right, A Lot / Dive Deep

• Tell me about a poor judgment call you made. What were the consequences, and how did you fix it?
• Describe a time you used data to overturn a widely held assumption.

Learn and Be Curious

• Tell me about a time you had to rapidly learn a new technology to deliver.

Have Backbone; Disagree and Commit

• Tell me about a time you disagreed with your manager or team, and what happened.

Bias for Action / Deliver Results

• Describe a decision you made with only ~60% of the data because waiting would have cost the opportunity.
• Tell me about a time you overcame a major obstacle to deliver on time.

A smart approach: build a story bank of five to seven detailed, versatile stories. A single “failed launch” story can answer questions on Ownership, Learn and Be Curious, or Are Right, A Lot depending on how you frame it.

Situational (“what would you do if…”) questions

Alongside past-behavior questions, you may get hypotheticals: “What would you do if a dependency team tells you they’ll be two weeks late right before launch?” A strong answer shows Deliver Results (finding a path to launch) and Earn Trust (communicating the risk transparently without blaming the other team).

The technical track: SDE interviews

The Amazon software engineer interview is rigorous and blends coding with heavy behavioral evaluation. Expectations scale with level:

• SDE I (entry-level): Focus is coding proficiency — arrays, strings, linked lists, trees, graphs, hash tables, and dynamic programming. Practice patterns like sliding window, two pointers, and BFS/DFS.
• SDE II (mid-level): Coding still matters, but the defining round is system design — “design a URL shortener,” “design a shopping cart,” “design a real-time leaderboard.” Be ready to discuss load balancing, caching, sharding, microservices, and latency vs. throughput trade-offs. Behavioral weight also increases.

To prepare on the technical side:

• Brush up on system design interview questions and language fundamentals like Java or Python.
• Review DBMS and SQL basics for data-heavy rounds.
• Talk out loud. A silent candidate reads as a struggling one — narrate your thinking, then optimize past the brute-force solution. Our guide on how to pass a coding interview covers this in depth.

You can also work through more interview questions by topic to find the exact stack you’ll be tested on.

The Bar Raiser: who they are and what they want

Partway through your loop, one interviewer will ask noticeably harder, more probing questions. That’s the Bar Raiser — a specially trained interviewer brought in from outside the hiring team. Because they have no stake in filling the role quickly, their only job is to protect Amazon’s hiring standard.

The core idea: every new hire should raise the bar — be better than the existing average for that role and level. The Bar Raiser carries significant weight in the debrief. Even if the hiring manager loves you, a Bar Raiser who sees a risk against the Leadership Principles can stop the hire.

To win them over, be consistent across every behavioral answer, take genuine ownership of your failures (not a fake “I work too hard” weakness), and show a track record of raising your own standards over time.

Five tips to prepare

1. Build a story bank — five to seven flexible, detailed stories, not 100 memorized answers.
2. Quantify everything — go through each story and add real numbers.
3. Embrace real failures — describe a genuine mistake, the ownership you took, and the mechanism you built so it wouldn’t recur.
4. Prepare questions for them — ask something that shows you understand the business. (Here are strong questions to ask at the end of an interview.)
5. Apply the “so what?” test — if a story’s result doesn’t tie to clear business impact, pick a better one.

Walk in prepared

Amazon tells you exactly what it’s looking for — that’s the advantage. Master the Leadership Principles, run every answer through STAR, and you’re playing the game on your terms.

For the questions you can’t rehearse — a curveball system-design prompt or an LP angle you didn’t expect — NostrobeAI is a real-time interview copilot: it hears the question and drafts a clear, structured answer on your screen, invisible on Zoom, Google Meet, and Microsoft Teams, with simple one-time pricing. (See how it compares to other AI interview tools.)