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Amazon Software Engineer Interview: What to Expect + AI Tools

Last updated: July 28, 2025|6 min read|By InterviewMan Team

TL;DR

Amazon's software engineer interview runs five stages over four to eight weeks: resume screen, recruiter call or online assessment, technical phone screen, onsite loop with four to five rounds, and offer negotiation. What makes Amazon unique is behavioral weight. The 16 Leadership Principles show up in every round including coding and system design, and a borderline technical performance can still produce an offer when behavioral answers are strong. The Bar Raiser carries veto power in the debrief and typically drives the final decision. Coding focuses on medium-difficulty problems emphasizing speed to optimal rather than brute force approaches. InterviewMan at $12 per month on annual billing covers behavioral, coding, and system design rounds and works with Amazon Chime and HackerRank. It includes over 20 stealth features with 57,000 users and zero confirmed detections. Interview Coder at $299 per month only covers coding, which is arguably the least unique part of Amazon's loop. Start behavioral prep before opening LeetCode because Amazon will test Leadership Principles in every single round.

Overview

Amazon runs its SDE interviews in five stages: a resume screen, a recruiter call or online assessment, a technical phone screen, an onsite loop with four to five rounds, and offer negotiation. The process takes four to eight weeks. What separates Amazon from Google and Meta is behavioral weight. A borderline technical performance can still result in an offer when behavioral answers are strong. A strong coder can still get rejected when the behavioral round raises red flags. This article covers each stage, the question types you should expect, the Bar Raiser role, and where AI tools fit.

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The Online Assessment and Phone Screen

Mid-level and senior engineers with big tech backgrounds often skip the online assessment entirely. When it is required, you face a timed HackerRank test with two coding problems at easy to medium difficulty plus multiple-choice system design questions. There is also a 50-question workstyle section on a Likert scale that maps answers to Amazon's LP framework.

For details on how AI tools work during HackerRank assessments, read does HackerRank detect AI tools.

The phone screen runs 30 to 40 minutes on Livecode. Syntax highlighting is on but code execution is off. I got a graph traversal problem and a follow-up about making a decision without enough information. About half of Amazon phone screens include at least one LP question alongside the coding problem.

The Onsite and Bar Raiser

The onsite has at least one behavioral round, three coding rounds, one system design round, and a hiring manager session. Coding problems sit at medium difficulty. Amazon stays away from LeetCode hards. Common topics are binary search, stacks and queues, greedy algorithms, BFS and DFS, and sliding window. Dynamic programming shows up less than at Google. Amazon interviewers put weight on speed toward an optimal answer rather than watching you work through brute force first.

The Bar Raiser is the most important person in the loop. Bar Raisers are senior employees at the top of Amazon's interviewer hierarchy who trained extensively to calibrate hiring across the company. They sit in on one or two rounds and carry veto power. In the debrief, the Bar Raiser's opinion typically drives the final call. I did not know which interviewer was the Bar Raiser until after my decision came back.

LP Questions in Every Round

Amazon has 16 Leadership Principles. Interviewers can drop an LP question into any round at any time. Coding, system design, hiring manager, all fair game. "Customer Obsession" is the default when you cannot tell which principle fits. The behavioral round goes deeper across five areas: technical problem-solving, learning from failure, business execution, interpersonal conflict, and handling ambiguity.

Our interview preparation guide for 2026 covers the full study strategy that works across FAANG companies.

I prepared eight stories from my work history and mapped each to two or three LPs. That covered every behavioral question across four rounds. Specific numbers in the result matter. "I reduced latency" does not help. "I cut P99 latency from 340ms to 120ms by redesigning the caching layer" gives the interviewer something real to write down. Amazon wants STAR-formatted answers and will redirect you the moment a response turns hypothetical.

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How AI Tools Fit

Amazon's coding runs on Livecode with no execution. Behavioral rounds require recalling stories and matching them to the right LP in real time. System design leans toward practical AWS-oriented questions. That mix means a coding-only tool leaves you exposed for the rounds Amazon weights most.

See also our guides for Google, Meta, and Microsoft interviews.

I used InterviewMan during two mock rounds and two real ones. Audio transcription helped most during behavioral questions. When my interviewer asked about a metric I had referenced two minutes earlier, the transcript helped me recall the exact figure instead of estimating. On coding, it analyzed the Livecode screen and flagged a BFS approach before I finished reading the constraints.

InterviewMan works with Amazon Chime and HackerRank, which covers both the video calls and the OA stage. I checked the dock, the process list, and screen recordings across both. Nothing turned up. The tool costs $12 per month on the annual plan with no session limits. Amazon loops stretch across five rounds over several weeks. Having coverage for behavioral, coding, and system design without per-session caps keeps you focused on answers instead of credits.

I ran the math. InterviewMan at $144 per year versus Interview Coder at $299 per month comes to a 25x price difference. And Interview Coder only handles coding, which is arguably the least unique part of Amazon's loop. The behavioral and LP questions are what make Amazon interviews hard, and Interview Coder offers nothing for those.

What I Would Focus On

Start behavioral prep before you open LeetCode. Most candidates do the opposite and freeze when "tell me about a time you disagreed with your manager" shows up in a coding round. Amazon will ask that. Map each story to at least two LPs, put numbers in the results, and keep answers under two minutes.

For a detailed comparison of AI tools for Amazon interviews, see our top 5 interview assistants for 2026.

For system design, learn AWS services at a surface level. Amazon interviewers ask about systems their team builds, and those systems run on AWS. Knowing the gap between SQS and SNS or when to pick DynamoDB over Aurora signals that you understand their environment.

For coding, focus on mediums and practice for speed. Amazon does not ask hards. Reaching optimal in 15 minutes matters more here than solving a hard in 40. Time yourself and drop problems where you consistently take over 20 minutes.

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