Software Developer applicants have rated the interview process at Meta with 3.3 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 59% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Developer roles take an average of 32 days to get hired, when considering 6 user submitted interviews for this role. To compare, the hiring process at Meta overall takes an average of 32 days.
Common stages of the interview process at Meta as a Software Developer according to 6 Glassdoor interviews include:
Phone interview: 43%
One on one interview: 29%
Skills test: 29%
Here are the most commonly searched roles for interview reports -
It was good. Recruiter was very helpful. I had an initial call with the recruiter. She walked me through the process. They have a coding assesment a behavorial assesment and then a 45 min of zoom call with 2 leetcode focused questions. And then you will have 3 interviews System design, behavorial and leetcode. You can either take them all in one day or you can split them in 2 days.
Interview questions [1]
Question 1
They asked me through go through my Resume. My tech Stack and Projects and project I am working in my current company.
long and tedious. some of the interviewers were snobbish and knew very little about how to conduct an interview. they knew java but were not open minded to understand how it works in python. they had a fixed answer in mind and wanted that only when the question could have been solved in multiple optimal ways.
Overall, I found this to be a very challenging experience. I struggled with the majority of the material and concepts presented, which made it difficult to keep up at times. Many of the problems required a deep understanding of the underlying principles and strong problem-solving skills, particularly in areas related to algorithms and data structures.
In hindsight, I would highly recommend dedicating significant time to studying LeetCode (LC) and Logic Puzzles (LP) in advance. Practicing these types of problems regularly would definitely help build the intuition and technical foundation needed to approach the questions more effectively. With better preparation and familiarity, especially in algorithmic thinking and pattern recognition, I believe the experience would be much more manageable and rewarding.
In summary, while it was a tough challenge, it also highlighted key areas for improvement and emphasized the importance of consistent practice.