1p3a Experience · May 2026

amazon fulltime software engineer onsite interview experience

SWE Onsite newgrad
3 replies

Interview Experience

新鲜的面经,今天刚面完。 以下内容需要积分高于 200 您已经可以浏览 r1- 2 bq - conflicts with manager, strong pushback 2 ai bq - 剪话ai solution的暗离,馹长 使用ai feature 的粒子 coding - 类似李扣 尔易玲 bfs r2- 2 bq - big mistake 让足里首笋湿 key learning, 项亩里戒绝ambiguity的里字 coding - 句钟瓷, 以瓷找句, 山锄句更新 r3- 4bq + followup 为了上地剪话项亩 戴底的惊艳 坐绝测without玩正书拒 expand项亩的惊艳 r4- 2 bq - 不同上地,娇硫方式,学到什么; 同时观礼不同项亩 出错的精力 雪道神么 coding - log找虚列,书良醉多的虚列门 r5 2bq - 持续幽话的惊艳; 超出泥泽仁反胃的项亩惊艳 system 捞版 期常不合 贫烦打短 不让硕完 agi 爱安全组,请避雷,补药浪费面试极慧 求米

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About Amazon Interview Reports

This question was reported by a candidate who interviewed at Amazon. LeakCode aggregates interview reports from 10+ sources, including 1Point3Acres, Glassdoor, LeetCode Discuss, Blind, Reddit, Indeed, and Nowcoder. Each report is translated where necessary, deduplicated against existing entries, and tagged by company, role, round type, and reporting date.

Use this question as one calibration data point, not a memorization target. Companies typically rotate their question pools every 2-4 months; the exact wording of a 2024 question may differ from what you encounter today. The underlying pattern, difficulty level, and follow-up depth at Amazon are the higher-signal extractions to take from this report.

For broader preparation context, the Amazon interview process typically includes a recruiter screen, one or two technical phone screens, and a 4-5 round on-site loop covering coding, system design (at L4+ levels), and behavioral. Reports tagged on LeakCode show the round-by-round distribution and typical difficulty calibration. To browse questions filtered by round type and seniority, use the company hub linked above.

How To Practice This Type of Question

Solve similar problems on LeetCode under timed conditions (25-35 minutes per medium difficulty). The goal is pattern recognition: recognize the underlying technique (sliding window, two-pointer, BFS, memoized recursion, etc.) within 60-90 seconds of reading. Strong candidates verbalize their hypothesis out loud before coding, then iterate based on feedback. Weak candidates dive into implementation immediately, lose time on the wrong approach, and run out of time for follow-ups.

Companies update their question pools every 2-4 months. The exact wording of any given question may have been retired by the time you interview. Focus your prep on the pattern, not the specific problem. The patterns that appear in Amazon reports consistently are the ones worth investing in; one-off niche problems are not.

During Your Amazon Round

Apply the standard interview round template: clarify requirements (2-3 minutes), state your approach out loud and confirm direction with the interviewer (3-5 minutes), code with narration (15-25 minutes), test with concrete examples including edge cases (5 minutes), discuss optimization or trade-offs if time permits (5 minutes). This template is universally accepted across FAANG and adjacent companies; deviating from it produces weaker interviewer feedback signal.

The single most predictive failure mode in Amazon reports tagged "no hire": not asking clarifying questions. Interviewers are explicitly trained to weight this. Strong candidates ask 3-5 clarifying questions even on problems that look obvious; weak candidates dive into code immediately. The clarifying-question check is often the first signal recorded in the interviewer's written notes.