Amazon Interview Questions & Trends 2026 Q2: OA, VO, Coding & Behavioral

10971 views#amazon

Overall Trend

Amazon remains one of the most-discussed companies on the interview board. Recent threads show a stable interview structure but a clearly evolving OA format: alongside the traditional 2-question coding section, a new AI assistant bug-fix coding question has been added, plus Work Simulation (email scenario) and Work Style Surveys (personality) modules. VO is still BQ + Coding on every round, with BQ taking up a large share. GenAI usage BQ shows up in nearly every round. Intern flow: OA → 2 back-to-back VO rounds; some NG/SDE2 candidates get an extra HM evaluation call; L5+ Applied Scientist runs a 5-round onsite (Behavioral / Coding / HM / ML breadth / ML depth). [hidden]

Question Type Distribution

TypeCountShare
General Coding4260%
ML Coding / Concepts / Debugging1116%
System Design69%
Behavioral / Other1115%

Top 10 Hot Topics

RankTopicCountSample threads
1OOD / scenario-style coding7thread1, thread2, thread3
2LRU Cache (LC 146)4thread1, thread2, thread3
3AI Assistant Debug (new OA format)4thread1, thread2, thread3
4[hidden][hidden][hidden]
5[hidden][hidden][hidden]
6[hidden][hidden][hidden]
7[hidden][hidden][hidden]
8[hidden][hidden][hidden]
9[hidden][hidden][hidden]
10[hidden][hidden][hidden]

Question Index

General Coding

Log in to continue reading the full content

ML Coding / Concepts

Log in to continue reading the full content

System Design

Log in to continue reading the full content

Difficulty Trend

Algorithm bar has not visibly risen — most coding stays in easy-to-medium territory — but the format is shifting from pure leetcode to scenario-style OOD and AI-assisted engineering.

  • Coding trends toward OOD / scenario problems. [hidden]; input format, edge cases, and tradeoffs are explicit scoring axes.
  • OA adds an AI-debug task (60-min repo + AI assistant). [hidden]
  • Phone Screen occasionally goes off-script: Applied Scientist saw a bucket-batching DP ([hidden]); Audible served a streaming abusive-books detection problem.
  • ML interviews test breadth + depth. [hidden]; reciting concepts is far from enough.

Log in to continue reading the full content

Notable Changes

  1. New AI-Debug OA question type: [hidden]
  2. GenAI BQ is nearly mandatory: [hidden]
  3. HM Evaluation Call as a process step: [hidden]
  4. Recruiter ghosting is common: [hidden]
  5. 12-month cool-down: [hidden]
  6. More OOD / scenario problems: [hidden]

Log in to continue reading the full content

Was this article helpful?

Comments

Sign in to join the discussion
Loading...