1p3a Experience · May 2026

amazon software engineer onsite interview experience and outcome

SWE Onsite newgrad
1 upvote 6 replies

Interview Experience

我的情况应该算特殊 去年面过一次,觉得每轮都strong但还是没过hiring committee. Recruiter消失不理人所以我也不知道具体情况。今年随便乱投结果被捞说strong fit, 說去年面试的结果也很strong, 所以帮安排 hiring manager chat跟 两轮的 follow up sessions (coding + system design) Coding 是传染病,system design是 cloud IDE. 都有准备到但传染病只做完三题,剩10分钟直接被call Cloud IDE 大致勾勒了 high level diagram, 然后着重在 worker node life cycle management. 这题实在太多地方可deep dive了,面试官似乎没有特别喜好所以我只能自由发挥。时间实在不够所以我只cover 60%我准备到的吧 两个礼拜后,recruiter来信说 not moving forward, 但仅限于 这个组跟 role (L6). 不影响原本 cool off period. 虽然很沮丧,但至少...

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About This Question

This is a candidate experience report from a amazon interview for a swe role (newgrad level) during the onsite round reported in 2026.

It covers the following topics: System Design .

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.