Amazon Interview Questions

Amazon Interview Questions: What People Who’ve Actually Been Through It Say

Search “Amazon interview questions” and you’ll find dozens of guides listing the same 16 Leadership Principles and the same handful of sample questions. What you won’t find as easily is what it actually feels like to sit across from an Amazon interviewer — the good, the strange, and occasionally the brutal.

We pulled together real accounts from Glassdoor, Blind, and Quora — candidates and current and former Amazonians describing their own experiences in their own words — alongside the official structure of how Amazon’s interview process actually works. If you’re prepping for an Amazon interview, this is the version that tells you what to expect, not just what to memorize.


How Amazon’s Interview Process Actually Works

Before the war stories, here’s the structure everything else hangs on.

Amazon’s interview loop typically consists of four to six interviews, each lasting 45–60 minutes, with one interviewer designated as a “Bar Raiser” — an experienced Amazonian from outside the hiring team whose entire job is to keep the hiring bar consistent across the company. The Bar Raiser doesn’t report to the hiring manager and holds veto power over the final decision.

Each interviewer is assigned two to three of Amazon’s 16 Leadership Principles to evaluate, and they score you independently — there’s no group discussion happening live in the room. As Exponent’s guide built from input from a former Amazon VP and Bar Raisers explains, interviewers are trained on an internal question bank that organizes questions by principle, which means your answers need to demonstrate specific alignment, not generic competence.

The principles themselves, in Amazon’s current official order, 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.

Amazon itself describes the goal behind this structure in fairly aspirational terms. Bar Raiser Liz Jones has explained that Amazon avoids brain teasers specifically because they aren’t especially indicative of real performance — the company is more interested in how candidates process situations and use data to support their decisions. Amazon also promises a “2 & 5” turnaround: an update within two business days after a phone interview, and within five business days after a full panel loop.

That’s the theory. Here’s what people say actually happens in the room.


What Candidates Say About the Good Experiences

Not every account is grim — and it’s worth starting with the experiences that reflect Amazon’s process working the way it’s designed to.

One candidate interviewing for a New Grad software engineering role described their loop on Glassdoor plainly: “Each interviewer discussed about past experiences, interesting projects/achievements. Overall a good interview experience.” Another, reflecting on a Bengaluru campus interview, said simply: “The experience was good and the interviewer was really helpful.”

A software engineer who compared interviews across Amazon, Meta, and Google in detail described their Amazon loop as relatively smooth, with most interviewers staying on past the scheduled time to talk more — a small but telling detail, since interviewers who are checked out tend to end exactly on time and no later.

Inside Amazon’s own recruiting team, the people running this process describe genuine intent behind it. Josh Hirschland, a principal product manager at Amazon, said: “At its best, an interview will feel more like a conversation with a curious friend than an interrogation.” Rasheeda Liberty, an Inclusion, Diversity, and Equity leader at Amazon, noted that the biggest miss for most candidates isn’t lack of qualification — it’s failing to dive deep enough into specifics: “We want to know the numbers. We want to know who was working on the project and how you delivered tangible results.”

That’s a useful, honest signal from the inside: vague competence isn’t what gets you hired. Specificity is.


What Candidates Say About the Bad Experiences

Then there’s the other side — and it’s documented just as thoroughly.

One of the more widely discussed accounts, posted on the professional network Blind, came from a candidate with four to five years of experience interviewing for a senior machine learning role. They described the hiring-team interviews as generally pleasant, but the external loop interview as something else entirely: the assigned interviewer didn’t show up, a shadow interviewer took over with visible disinterest, and a coding problem was presented with what the candidate described as clearly incorrect examples. When the candidate pushed back for clarification, the situation deteriorated — the candidate described the interviewer’s response as dismissive and increasingly hostile, ending with the interviewer laughing at them.

That same candidate added a detail many people will recognize: a different interviewer in the same loop showed up 45 minutes late, then kept the candidate for a full hour when the slot was supposed to be 30 minutes, and the single question asked turned out to be a “trick” question where the expected answer was simply admitting defeat and asking to escalate for help.

The replies to that post are where it gets interesting. Several other candidates chimed in with strikingly similar stories. One wrote: “I had a wonderful experience interviewing in amazon and joined. Now I’m fucked” — suggesting the dysfunction some candidates encounter in interviews isn’t necessarily disconnected from life inside the company afterward. Another offered a piece of advice that’s clearly been passed around interview-prep circles for a while: “A wise man once gave me this advice: always use Amazon as a warm-up company for interviews” — implying some candidates treat an Amazon loop as low-stakes practice for interviews elsewhere, specifically because the experience can be so inconsistent.

Not everyone in that thread was sympathetic, either. One reply pushed back directly: “You are salty because you didn’t make it.” It’s worth holding both things at once — some negative accounts likely do reflect candidates rationalizing a rejection, and some almost certainly reflect real, well-documented dysfunction in specific interview loops. Amazon’s interviewer pool is enormous, and a process run by thousands of different individual interviewers across the globe is never going to be perfectly consistent, no matter how standardized the question bank is.

A Glassdoor reviewer interviewing for an SDE2 role described a more mundane but still telling frustration: a recruiter who explicitly said the phone screen wouldn’t include behavioral questions — and then the interviewer asked three of them anyway. Small, but it reflects a recurring theme across reviews: communication between Amazon’s recruiting team and its interviewers isn’t always tight, and candidates are the ones who absorb that gap.


What an Actual Bar Raiser Says Happens Behind Closed Doors

One of the more illuminating accounts comes from Dave Anderson, a former Amazon Tech Director and GM who served as a Bar Raiser. Writing about his own experience on the other side of the table, he described a debrief where four interviewers on a hiring loop all leaned toward hiring a candidate he considered mediocre — someone who “answered the questions fine” but didn’t have “massive gaps,” yet “absolutely nothing impressed” him.

When he voted no, the hiring manager pushed back hard, eventually threatening to escalate: “I’m going to escalate to get a new bar raiser! This is unacceptable!” Anderson’s response captures exactly what the Bar Raiser role is designed to protect against: “You can escalate however you’d like Vlad. But you won’t get another bar raiser, and you won’t be making this hire.”

That account matters for candidates because it confirms something the official Amazon guides only gesture at: the Bar Raiser’s veto is real, it gets used, and a team being short-staffed and desperate to fill a role is explicitly not considered a good enough reason to lower the bar. If you’re interviewing at Amazon and you sense one interviewer is being unusually rigorous or skeptical compared to the others in your loop, there’s a good chance you’ve found your Bar Raiser — and a good chance the rigor is the point, not a personal grudge.


The Most Common Amazon Interview Questions

Across Glassdoor’s candidate-submitted interview reports and the major prep guides, certain questions come up again and again. These aren’t hypothetical — they’re pulled directly from real candidate reports.

Behavioral / Leadership Principles questions:

  • Tell me about a time when you took a calculated risk.
  • Tell me about a time when you had to leave a task unfinished.
  • Tell me about a time you had to work with incomplete data or information.
  • Give me two examples of when you did more than what was required in any job.
  • Tell me about a time you had to handle a crisis.
  • Tell me about a time when you had a disagreement with a colleague or manager.
  • Describe a difficult interaction you had with a customer. How did you deal with it?
  • Tell me about your biggest career failure and what you learned from it.
  • What would you do if your engineering manager told you the launch needs to be delayed?
  • Tell me about a time when you didn’t know what to do.

Technical questions (for engineering roles):

Candidates consistently report LeetCode-style problems — graph traversal, dynamic programming, and system design questions scale with seniority. One reviewer described a “Number of Islands” problem and a discussion of DFS versus BFS approaches as a fairly standard mid-level technical round; another described “alien dictionary” as a more advanced variant that’s appeared in senior loops.

The consistent thread across both categories: Amazon cares less about a flawless answer and more about how you think out loud. As one Bar Raiser-informed guide notes, a clear explanation of a suboptimal solution often scores better than a silent perfect one.


How to Actually Prepare, Based on What Works

Use the STAR method, but don’t perform it robotically. Situation, Task, Action, Result is Amazon’s own recommended framework, and virtually every former interviewer source confirms it’s what they’re listening for structurally. But the candidates who get flagged as memorable are the ones who tell the story like a person, not a checklist.

Prepare 8–15 stories that can flex across multiple principles. Most strong candidates don’t have one perfect story per principle — they have a smaller set of meaningful stories they can angle differently depending on which Leadership Principle the question is probing. If you tell the literal same story twice in one loop, interviewers notice, and it counts against you.

Be ready for the interviewer who isn’t trying to be your friend. Based on the accounts above, it’s worth mentally preparing for the possibility that one interviewer in your loop — quite possibly the Bar Raiser — will be more skeptical, terse, or probing than the others. That’s not necessarily a bad sign. It might just mean you’ve met the person whose entire job is to not be easily impressed.

Ask clarifying questions without hesitation. Multiple official Amazon sources confirm this won’t count against you — and the negative account above suggests that interviewers who refuse to clarify a poorly worded question are the exception, not the norm, even if they make for the more memorable horror story.

If a loop goes badly, it’s not necessarily you. The Blind thread above is a useful reality check: even people who eventually get hired at Amazon describe loops with disorganized scheduling, late or unprepared interviewers, and inconsistent question quality. A single bad interviewer doesn’t reflect the whole company, and it doesn’t necessarily reflect your candidacy either.


Is It Worth It? What to Weigh Before You Go All-In on Amazon

The accounts above paint a mixed picture, and that’s an honest reflection of a company operating at Amazon’s scale. Hundreds of thousands of interviews happen across Amazon every year, run by thousands of different interviewers with varying levels of training, energy, and skill on any given day. You can have a genuinely great loop and a friend can have a genuinely rough one for the same role on the same team.

What’s worth separating out before you invest weeks of prep time: is this a company whose day-to-day culture matches what you’re hoping for, independent of how the interview goes? The Leadership Principles aren’t just an interview framework — Amazon uses them to run performance reviews, promotions, and daily decision-making once you’re inside. If concepts like “Frugality” and “Deliver Results” sound energizing to you, that’s a good sign. If they sound exhausting even reading about them now, the interview is giving you useful information before you’ve accepted anything.

Before you go through the loop, it’s worth reading what real employees say about life after the offer — not just the interview. Search Amazon’s WiseWorq company profile to see honest, unfiltered reviews from people across different teams and levels, so you walk into the interview already knowing whether the substance behind the Leadership Principles matches what you’re looking for in a job.


The Bottom Line

Amazon’s interview process is more standardized than almost any other major employer’s — the Leadership Principles, the Bar Raiser system, the STAR method expectation. But standardized doesn’t mean uniform in practice. Real candidates describe everything from thoughtful, well-run loops where interviewers stay late just to keep talking, to disorganized ones with no-show interviewers and trick questions designed to watch you fail gracefully.

Prepare for the structure Amazon says it follows. Mentally prepare for the version some candidates actually encounter. And remember that a single rough interviewer, in a single loop, on a single day, is not the whole story of what working there would be like — for better or worse.


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