The overall interview process was very smooth and well-organized from start to finish. The recruiter was extremely responsive and approachable, and they patiently addressed any questions or concerns I had throughout the process, which made the experience much more comfortable and transparent.
The interview questions were well thought out and primarily focused on assessing a strong understanding of Data Structures and Algorithms. They were challenging but fair, and clearly designed to evaluate problem-solving skills, logical thinking, and technical fundamentals rather than rote memorization.
Overall, it was a very pleasant and positive experience. The professionalism of the recruitment team and the structured interview process made it both engaging and insightful, leaving a great impression of the organization.
Interview questions [1]
Question 1
Asked a coding question based on string manipulation and sorting, where different rules applied depending on whether the data was textual or numeric. Focus was on correct parsing, custom comparison logic, and maintaining order where required.
Great interview process with three rounds, including a technical assessment and a technical interview. The interviewers were professional and supportive throughout the process. The questions mainly focused on DSA, problem-solving, and core technical concepts. The discussions were engaging and provided a good opportunity to demonstrate technical skills. Overall, the process was well-structured, smooth, transparent, and a very positive experience.
I applied through college or university. I interviewed at Amazon (Dublin, Dublin)
Interview
Online techincal assessment. Had to screen share and complete basic coding tasks similar to Leet Code. Could choose a language of your choice. Overall a very fair system and judged based on merit.
Interview questions [1]
Question 1
Technical assessment so a basic leet code style question about reversing the orders of long numerical strings.
Loop — 4 rounds, all on the same day
Round 1 — Coding (DSA)
Interviewer was a senior SDE, very friendly.
Warm-up + behavioral: "Tell me about a time you took ownership of something outside your responsibilities."
Main question: Given a list of meeting intervals, find the minimum number of conference rooms required. I used a heap. He then asked a follow-up: what if meetings could be reassigned to minimize total idle time? We discussed approaches but didn't fully code it.
He cared a lot about how I talked through edge cases out loud.
Round 2 — Coding + Problem Solving
LP question: "Describe a situation where you disagreed with a teammate."
Coding: LRU Cache implementation from scratch. I used a hashmap + doubly linked list. He pushed on thread-safety and what happens at capacity 0.
Round 3 — Behavioral (Bar Raiser)
This was the toughest round — no coding, all Leadership Principles, very deep STAR-format probing.
Questions I got:
"Tell me about a time you failed and what you learned."
"A time you had to deliver something with a tight deadline and limited information."
The bar raiser kept drilling: "What was your specific contribution?" "What would you do differently?" "What data did you use?" Have 6–8 strong stories ready with metrics.
Round 4 — Low-Level Design
Design: Design a parking lot system (classes, vehicle types, spot allocation, pricing). Then he asked me to code the findSpot() and releaseSpot() methods.
Interview questions [1]
Question 1
Most coding questions were LeetCode Medium. Common themes: graphs, heaps, sliding window, hashmaps, and LRU/design., system design,
