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Amazon Interview Experiences

Learn from real Amazon interview experiences shared by candidates who successfully cleared the placement process. These authentic stories help you understand what to expect, how Amazon evaluates candidates, and how to prepare effectively for the interview process.

Technical interview experience 1

SDE-1 interview experience (2025)

Profile: B.Tech CS, 8.2 CGPA, Tier-1 college, 2 internships
Result: Selected for SDE-1 role (₹28 LPA)

Round 1 - Online Assessment (OA) Platform: HackerRank
Questions: 1) Find maximum sum subarray with at most k elements, 2) Clone a graph with random pointers
Work Simulation: Email scenarios about handling customer complaints and prioritizing tasks
Behavioral MCQs: Questions about ownership and customer obsession
Result: Cleared all test cases, shortlisted for next round

Round 2 - Technical Interview 1 Duration: 50 minutes
Question 1: Design a data structure that supports insert, delete, and getRandom in O(1) time
Approach: Used HashMap + ArrayList combination
Question 2: Find the longest substring with at most k distinct characters (sliding window)
Follow-up: Optimize space complexity, handle edge cases
Feedback: Explained approach clearly, optimized solution

Round 3 - Technical + Behavioral Interview 2 DSA Problem: Maximum path sum in binary tree (DP on trees)
Behavioral Questions:

  • “Tell me about a time you went above and beyond for a customer” (Customer Obsession)
  • “Describe a situation where you took ownership of a project” (Ownership)
  • “Give an example of a quick decision with incomplete data” (Bias for Action)
    Tip: Used STAR method for all behavioral answers

Round 4 - System Design Question: Design a bookstore system (OOP focus for SDE-1)
Discussion: Classes (Book, Customer, Order), relationships, methods, database schema
Follow-up: How would you handle concurrent orders? (Basic concurrency concepts)

Round 5 - Bar Raiser DSA: Design a LRU Cache (medium-hard)
System Design: How would you scale the bookstore to handle millions of users?
Behavioral: Detailed discussion into ownership principle with multiple follow-up questions
Outcome: Selected - strong technical skills and Leadership Principles alignment

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