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.
Interview by recuriter, Phone interview over Chime with one easy Leet code problem and 2 behavioral questions. Although the interviewer was very casual at the start of the conversation, it quickly changed into behavioral questions at the start.
Interview questions [1]
Question 1
Encoding optimization algorithm and talk about a project you did recently.
First round is just leet code coding which screens through AI before going into live coding. Pretty simple and straighforward. Not too tough. Recruiter walks through it pretty nicely. Not sure how many rounds there are exactly
After submitting my application for the Software Engineer position, I received an invitation to complete an automated Online Assessment (OA). The assessment consisted of standard coding challenges, primarily focusing on algorithmic and data structure problems. Unfortunately, a few days after submitting my solutions for the assessment, I received an email informing me that I would not be moving forward in the interview process and was rejected.