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 50% positive. To compare, the company-average is 61.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer roles take an average of 32 days to get hired, when considering 64 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 64 Glassdoor interviews include:
Phone interview: 24%
Skills test: 16%
Personality test: 13%
Presentation: 13%
One on one interview: 12%
Background check: 6%
Group panel interview: 6%
IQ intelligence test: 4%
Drug test: 3%
Other: 2%
Here are the most commonly searched roles for interview reports -
I applied through a staffing agency. I interviewed at Amazon (Gudgaon) in Aug 2016
Interview
Genuine interview process, focused on troubleshooting, server connectivity issues load balancing,
health check-up of server.
First round is telephonic and then F2F.
Resume related questions, Debugging skills check.
algorithm, data stcuctures not in deep, parsing of logfiles, making hashes and arrays complex array and hashes, file system.
Interview questions [1]
Question 1
What can be the problems, if you unable to SSH a server.
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.