The interview process consisted of two rounds:
Behavioral Questions (BQ): Focused on Amazon's Leadership Principles, covering teamwork, problem-solving, and handling conflicts.
Technical Questions (LeetCode-style): Included data structures and algorithms problems, mainly covering arrays, trees, graphs, and dynamic programming. The questions were of medium difficulty.
Questions d'entretien [1]
Question 1
One of the questions was about designing a scalable URL shortening service (like TinyURL). I answered by explaining how to handle hashing, database sharding, and high availability using AWS services.
i applied online around october, got the OA around march/april originally for summer but headcount was reached so i expressed interest in being considered for their fall internship. they reached out in late may and got my interview scheduled in june
Questions d'entretien [1]
Question 1
LP behavioral questions, questions about gen ai and how i incorporate them. lc4 and lc130
LC top 100 tagged — would recommend doing the top 100 and it is likely you will have question from there — the first 40 mins were behavioral lp, then the technical
J'ai passé un entretien chez Amazon (Californian, PA)
Entretien
The Quick DSA Check: A 20-minute easy question usually means the company treats coding as a baseline filter rather than a tool to stump you. They want to see clean code, good communication, and proper edge-case handling without the stress of a complex puzzle.
The Deep Dive: Spending time on your projects and tech stack allows you to show ownership. Interviewers love to see why you chose a specific technology and how you handle technical trade-offs.
The Behavioral Weight: A full 30 minutes dedicated to behavioral questions means this team deeply cares about culture fit, communication, and how you collaborate under pressure.
