I was first asked to solve a problem using binary search—the interviewer emphasized both correctness and efficiency, so I had to carefully reason through edge cases and optimize my implementation. After that, I tackled a heap-related question that involved designing a data structure to support dynamic retrieval of the top‑k elements. The focus was on choosing the right heap type (min-heap vs. max-heap), maintaining time complexity, and explaining trade-offs clearly. Throughout, the interviewer encouraged me to think out loud and discuss my approach, which helped make it a collaborative and engaging experience.
Interview questions [1]
Question 1
Given an array nums, find a peak element and return its index.
You may assume that nums[i] ≠ nums[i + 1] for all valid i.
The array may contain multiple peaks—return the index of any one.
Interviewed for silicon team. Have only been asked about the domain specific knowledge in 1st round and system design in 2nd round and C coding in 3rd round.
The interviews were 50 mins each.
First round with hr screening - 2 leetcode questions then hr manager screening then the loop which consists of 4 interviews each an hour long. The 4 interview questions they asked where three medium leetcode questions. And one system design interview question about how to shadow deploy a test software to millions of users.
Recruiter reaches out after applying through Amazon careers, no referral. Had an initial OA, then after a month had four rounds in two days - three coding one system design. Each round had 30 min behavioral and 30 min coding.
Interview questions [1]
Question 1
Questions were mainly hashmap, sliding window and interval related.