AMAZON SDE INTERN EXPERIENCE Sharing my Amazon SDE Intern on-campus interview experience For our campus drive, only candidates who opted for Bangalore location were shortlisted for OA. Selection Flow: 37 students were shortlisted for OA 7 students were shortlisted for Round 1 3 students were shortlisted for Round 2 No one got job offer OA Pattern: Frequency-based sorting question (sort bug IDs based on frequency ascending, if same frequency smaller ID gets priority) Array transformation + minimum cost problem (greedy + observation based) Apart from coding, OA also had: Work Simulation Assessment (Amazon Leadership Principles based situations) Feedback/workstyle survey Round 1: It was a 1-hour virtual interview with Zoom + live coding platform. The interviewer first introduced himself and then asked me for a quick self intro. After that he asked: “What language are you comfortable with?” I chose C++. He expected: brute force first optimized solution complexity explanation dry run after coding DSA Questions: Q1: Shortest path in grid with obstacles Follow-ups: Why BFS not DFS? Complexity? How to avoid cycles? Q2: Modified version of first question: minimum walls to break Follow-ups: Which data structure is suitable? Can nodes revisit, if yes how may times? Edge cases Since I mentioned RAG/GenAI projects in intro, interviewer also asked: Explain RAG Hallucination verification How would you semantically search huge log files with millions of lines and how do you optimize it? Discussion involved: chunking, embeddings, vector DB, scaling Round 2: It was also a 1-hour virtual interview and was more behavioral + problem solving focused. Initially both interviewers introduced themselves and then asked me for a self introduction. Behavioral questions were mainly based on Amazon Leadership Principles. Tell me about a situation where a teammate had a different thought process What problem did you solve in JPMC Code for Good? Explain a time when you had to deliver something important under deadline pressure, What sacrifices/tradeoffs did you make to meet the deadline, What was the final impact/outcome? Tech stack used in mentioned project and how you handled implementation challenges Since time was ending, they asked only 1 DSA question in my Round 2. Coding Question: Next warmer temperature in a circular array. Example: temps = [73,74,76,71] Output: [74,76,-1,73] Overall observation: Different panels followed different patterns. Some people got: more behavioral/Amazon Principles questions, only 1 DSA, more GenAI discussion It mainly depended on time and interviewer style. One important thing, They focused a lot on: communication, explaining thought process, handling follow-up questions and reasoning under pressure Not just final answers.