Associate Software Engineer applicants have rated the interview process at Nagarro with 2.7 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 63.3% positive. This is according to Glassdoor user ratings.
Candidates applying for Associate Software Engineer roles take an average of 2 days to get hired, when considering 3 user submitted interviews for this role. To compare, the hiring process at Nagarro overall takes an average of 13 days.
Common stages of the interview process at Nagarro as a Associate Software Engineer according to 3 Glassdoor interviews include:
One on one interview: 33%
Personality test: 22%
Presentation: 11%
Skills test: 11%
Phone interview: 11%
Other: 11%
Here are the most commonly searched roles for interview reports -
Compare To Previous Tests, This Time Nagarro Raised The Bar, Aptitude Was difficult And Time Consuming, And Coding Round Consisted of 3 Questions of Level Medium From topics DP, Tree And Graph. For The Package of 6 Lakh PA
Positive experience
Average interview
Application
I applied through college or university. The process took 3 days. I interviewed at Nagarro (Gurgaon, Haryana) in Nov 2025
Interview
Interview was of 15 min and focused on DSA, Project & CS Fundamentals. They Asked Everything In 15 mins
Interview was fast paced
Before interview they have taken 2 tests one aptitude and coding
Which was very good in difficulty level
Interview questions [1]
Question 1
Open your project code in GitHub and tell meaning of random line
The interview process was smooth and well-structured. It began with a technical assessment to evaluate core skills, followed by a behavioral interview that focused on problem-solving and teamwork. Communication was clear, and the feedback was constructive. The interviewers were approachable, making the experience engaging and positive.
Interview questions [1]
Question 1
One of the key questions they asked was how I would design a scalable and cost-efficient architecture in GCP for a high-traffic web application, considering load balancing, compute resources, and storage options.