I applied through college or university. I interviewed at Amazon (Chennai) in Jan 2025
Interview
The interview process for the Amazon SDE Internship was structured and focused on both problem-solving skills and core computer science fundamentals.
I had a technical round where I was given two coding problems to solve:
Find the element that occurs only once – This tested my ability to optimize for time and space using techniques like XOR operations and hash-based counting.
Zigzag (Spiral) Traversal of a Binary Tree – This problem focused on tree traversal logic, use of queues/stacks, and writing clean, iterative/level-order solutions.
Throughout the interview, I explained my thought process, clarified constraints, and discussed possible edge cases and time-complexity tradeoffs. The interviewer also evaluated how I approached the problem, communicated my reasoning, and optimized the solution.
Overall, the experience was smooth and well-organized. The interviewer was supportive, and the session felt conversational while still challenging, giving me a good opportunity to demonstrate my coding skills and understanding of data structures.
Interview questions [1]
Question 1
interviewer asked question based on amazon leadership principles
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
Interview questions [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
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.