Amazon's interview process is one of the most structured in the industry and one of the most misunderstood. Most candidates prepare the technical side reasonably well. What ends most Amazon offers is the behavioral component, specifically the Leadership Principles evaluation, which runs through every round of the process including the coding and system design rounds.
If you want to experience what a real Amazon interview feels like before your actual one, book a mock interview on Intervue.io. The rest of this guide gives you everything you need to walk in prepared.
What Makes Amazon Interviews Different
Amazon's interview process has one feature that no other FAANG company replicates at the same intensity: the Leadership Principles are not evaluated only in a behavioral round. They run through every round of the interview.
A coding interviewer at Amazon is evaluating how you handle being stuck, whether you own your approach and push through ambiguity, whether you ask clarifying questions like someone who cares about getting the right answer. These are Leadership Principle signals showing up in a coding context.
A system design interviewer at Amazon is evaluating whether you frame your design decisions in terms of customer impact. "I chose this approach because it reduces latency for the end user" lands differently than "I chose this approach because it is technically elegant."
The second thing that makes Amazon different is the Bar Raiser. This is a specially trained interviewer who sits in every Amazon hiring process and evaluates whether the candidate raises the overall bar of the team, not just whether they can do the job. The Bar Raiser can reject a candidate that the entire rest of the panel wanted to hire.
A well-run Amazon mock interview prepares you for both of these.
What Each Round Actually Feels Like
The online assessment is a timed coding challenge, typically two algorithmic problems in 70 to 90 minutes. The problems are medium difficulty. The expectation is clean, correct code within the time limit. There is no interviewer watching, but the code quality informs whether you move to the next stage.
The phone screen is one coding problem in 45 to 60 minutes with an interviewer. Amazon phone screens include one or two LP questions at the end. This is where many candidates are caught off guard: they prepare for a pure coding screen and discover at minute 40 that the interviewer wants a behavioral story. Have your LP stories ready before the phone screen, not just for the onsite.
The onsite or virtual interview process at Amazon typically includes four to five rounds in a single day: two to three coding rounds each including LP questions, one system design round at SDE2 and above, and a behavioral round often conducted by the Bar Raiser. Every round lasts 60 minutes, longer than most FAANG companies. The extra time goes toward LP evaluation. Budget for 15 to 20 minutes of LP discussion in every round, even the coding and design rounds.
The LP Questions Most Commonly Asked
Amazon interviewers ask LP questions in every round. These are the ones that appear most frequently across reported Amazon interviews.
"Tell me about a time you disagreed with a decision and what you did." This probes Have Backbone; Disagree and Commit. Interviewers want to see that you pushed back respectfully, made your case clearly, and then fully committed once a decision was made. Candidates who only describe disagreeing without committing fail this. Candidates who only describe committing without pushing back also fail it.
"Describe a time you took ownership of something outside your role." This probes Ownership. The word "ownership" in the LP means acting on behalf of the entire company, not just your team. Interviewers want examples where you saw something broken, took responsibility for it, and fixed it even though it was not your job.
"Tell me about your most significant failure and what you learned." This probes Learn and Be Curious, Earn Trust, and Deliver Results simultaneously. The failure needs to be real and specific. The learning needs to be concrete. Interviewers probe whether you actually changed your behaviour afterward or just articulate the lesson.
"Give an example of a time you delivered results despite significant obstacles." This probes Deliver Results and Bias for Action. Interviewers want to hear about the specific obstacles, the specific decisions you made, and the specific outcome with numbers where possible.
"Tell me about a time you had to make a decision with very little information." This probes Bias for Action and Are Right, A Lot. Amazon values moving fast with imperfect information over waiting for certainty. Interviewers want to see that you made a reasoned decision, moved forward, and updated your approach when you got more data.
The Bar Raiser Round: What to Expect
The Bar Raiser round is the round most candidates are least prepared for because it behaves differently from the others.
The Bar Raiser is not trying to find reasons to hire you. They are evaluating whether you genuinely raise the bar of the team. This means they push harder than other interviewers, spend more time on follow-ups, and evaluate your LP signal across the entire conversation, not just in explicit LP questions.
Three things characterise a Bar Raiser round.
They probe for the individual contribution signal. Amazon's LP evaluation requires your contribution to be specific and personal. Bar Raisers are trained to listen for "we did this" and push back: "What specifically did you do within the team's effort?" Consistently using "we" without clarifying your individual contribution is noted.
They go to uncomfortable follow-up territory. "Tell me about a time you failed" followed by "tell me about a time you failed more recently" followed by "what is your most significant failure in the last six months." These are designed to get past your prepared answer into real reflection. Candidates who have only rehearsed their best stories stumble here.
They evaluate breadth of LP coverage. The Bar Raiser typically reviews all other interviewers' feedback before their round and notices which LPs have not been probed yet. They fill those gaps deliberately. Walking into the Bar Raiser round without having thought about all 16 LPs is how candidates fail it.
How LP Stories Fall Apart Under Follow-Up
This is the thing that no amount of preparation alone fixes. A story that sounds complete when you tell it in your head falls apart under three to four levels of probing.
"What was the outcome?" "How did you measure it?" "What would you do differently?" "Why did the situation reach that point in the first place?" are all standard Amazon follow-up questions that require your story to have real depth, not just a good opening.
The second challenge is integrating LP stories with technical content. In a coding round, the interviewer might ask a technical question, have you solve it, and then say "that approach you took: tell me about a real situation where you had to make a similarly constrained technical decision." You need to be able to pivot between technical problem-solving and storytelling without losing your thread.
The third challenge is time management. Amazon rounds run 60 minutes. If an LP discussion runs long, your coding time gets shorter. Knowing when to be concise and when to go deep is something you can only calibrate with a real interviewer.
Amazon Coding and System Design: What Gets Asked
Coding questions that appear frequently in Amazon interviews:
Two Sum, LRU Cache, Number of Islands, Merge K Sorted Lists, Maximum Subarray (Kadane's Algorithm), Product of Array Except Self, Rotting Oranges, and Word Break. Amazon coding rounds use their own online environment. Practice writing code in a plain editor without IDE support.
System design questions that appear frequently in Amazon interviews:
Design a product recommendation system, design a URL shortener, design a distributed notification service, design an e-commerce order management system, and design an inventory tracking system. Notice that Amazon system design questions are often anchored in Amazon's own products. Familiarity with how Amazon's services work from a customer perspective helps you frame your designs naturally.
The customer-framing rule applies in system design too. Every major architectural decision should be connected back to what the customer experiences. Availability, latency, and reliability are framed in terms of user impact, not just technical metrics.
Summary
Amazon interviews are technically demanding and behaviorally intensive in equal measure. The Leadership Principles run through every coding conversation, every system design discussion, and the Bar Raiser round that can independently decide your outcome.
The candidates who pass have practiced the integration of technical performance and LP storytelling together, under the conditions that make both hard simultaneously.
Book an Amazon mock interview on Intervue.io to practice with an engineer who has been through real Amazon hiring rounds and understands what the Bar Raiser is looking for.
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