Software Engineer applicants have rated the interview process at Amazon with 3.2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 67% positive. To compare, the company-average is 57.8% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer roles take an average of 47 days to get hired, when considering 21 user submitted interviews for this role. To compare, the hiring process at Amazon overall takes an average of 31 days.
Common stages of the interview process at Amazon as a Software Engineer according to 21 Glassdoor interviews include:
Skills test: 22%
Phone interview: 22%
One on one interview: 19%
Personality test: 15%
Background check: 11%
Group panel interview: 4%
Other: 4%
IQ intelligence test: 4%
Here are the most commonly searched roles for interview reports -
I applied through university. The process took 3 weeks. I interviewed at Amazon (Seattle, WA) in Feb 2014
Interview
got an online assessment which had question related to bit operators. They had instruction that said that you can look online but they will be tracking your tabs and taking pictures randomly using the webcam. then was called onsite. Had 4 interviews.
Interview questions [1]
Question 1
questions were asked on data structure, algorithms and OO programming
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.
The phone screen went longer than expected, focusing heavily on implementation details. The interviewer really grilled me on my approach to a Least Recently Used (LRU) cache, asking how I'd combine a hashmap with a doubly linked list. I felt well-prepared since I had gone through system design examples on PracHub, which made me comfortable discussing eviction policies. The later rounds included more technical questions and behavioral interviews, but in the end, I received an offer, though I ultimately decided to decline. Overall, I’d say the process was average, with solid questions.
Interview questions [1]
Question 1
Design and implement a Least Recently Used (LRU) cache supporting get(key) and put(key, value) in O(1) average time. Walk through combining a hashmap with a doubly linked list, eviction policy when capacity is exceeded, and how you'd extend it to handle thread-safe concurrent access.