I applied in-person. I interviewed at Amazon (Seattle, WA)
Interview
Majority of questions were behavioral, like "Tell me when you increased efficiency of the system", "Tell me when you took an unpopular decision and how you convinced others", "Give me an example of when you solved a complex problem with a simple solution", "What was your most challenging project". Surprisingly, some questions were repeated by different interviewers. The rest were technical questions.
Interview questions [1]
Question 1
a. Design an algorithm to find K biggest numbers in the array.
b. Design an algorithm to find a shortest path between two given words of same lengths so that every word differs from preceding and succeeding word in the path by exactly one character.
c. Design a system that processes events in real time.
The technical round focused on a DSA problem about finding the closest points to the origin, where I was asked to explore multiple approaches like sorting, heaps, and quickselect. It felt straightforward, and I was ready for it thanks to the time I spent on PracHub brushing up on similar questions. The interview also included a behavioral section, but overall, I found the process to be very easy. Happy to say I received an offer, which I gladly accepted!
Interview questions [1]
Question 1
K Closest Points to Origin - given an array of points on the 2D plane and an integer k, return the k closest points to the origin (0,0). Walk through sort-by-distance O(n log n), heap-based O(n log k), and quickselect O(n) average; discuss when to prefer each based on the relationship between n and k.
Tough interview.
The Process: Automated Online Assessment (OA) with 2 coding questions and a system simulation, followed by a 4-round virtual Loop. Every single round started with 20 minutes of intense, behavioral behavioral questions diving into Amazon's Leadership Principles, followed by 25 minutes of technical coding or system design.
Amazon interviews are a test of mental endurance because you have to switch from deep behavioral storytelling straight into complex coding which can be so difficult. I used Apex Interviewer to practice the cognitive context switch. Running through their live-coding workspace helped me ensure my technical communication and architectural structures remained sharp and automatic, even after spending the first half of the interview defending my past project metrics. I fed the practice AI questions I extracted from glassdoor and gothamloop.
In the end, the offer was way lower than I hoped.
Interview questions [1]
Question 1
Design the backend inventory tracking and placement service for a global fulfillment network, ensuring strict transactional consistency across multiple regional warehouses during peak shopping events.
Initial screening call with recruiter followed by a 1 hr hacker rank question on DSA. The final round was a panel consisting of 4 interviews ranging from technical design, more DSA and behaviour questions.
Interview questions [1]
Question 1
Describe a time when you disagreed with your team and how you resolved it
