1p3a Experience · May 2026

amazon fulltime software engineer onsite interview experience

SWE Onsite newgrad
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Interview Experience

电面 (Phone Screen) Coding: 商品合并。给一堆 tuple 表示两个商品在同个 category,有传递性。求最后有多少个 category 和每个组的大小。经典的并查集(Union-Find),我用BFS写的也过了。Onsite (4轮) 以下内容需要积分高于 188 您已经可以浏览 System Design: 设计打车软件。核心考点在司机端高频 GPS 写入(去重/削峰)、Geospatial Indexing(Quadtree vs H3 优缺点、Redis GEO 缓存机制)。 Coding 1: 经典Graph BFS题,排课表看有没有冲突,以及输出排课顺序。拓扑排序(Topological Sort)原题。写完又问了一道prefix sum的,好像是找sum为0的subarray,只要求说思路,没让写。 Coding 2: 字符串数据流。在 Stream 里实时找 Target 单词的所有变位词(Anagram)。用固定大小的 Sliding Window + Frequency Array 解决,注意数据流的边界。 OOD/Coding: 实...

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Topics

Strings Sliding Window Graph System Design Union Find Arrays

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.