EPAM Systems Senior Software Developer interview questions
based on 338 ratings - Updated Jun 2, 2026
Averageinterview difficulty
Mostly positiveinterview experience
How others got an interview
41%
Applied online
Applied online
40%
Recruiter
Recruiter
7%
Employee Referral
Employee Referral
4%
Other
Other
4%
In Person
In Person
3%
Staffing Agency
Staffing Agency
0%
Campus Recruiting
Campus Recruiting
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EPAM Systems interviews FAQs
Senior Software Developer applicants have rated the interview process at EPAM Systems with 2 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 72.7% positive. This is according to Glassdoor user ratings.
Here are the most commonly searched roles for interview reports -
Written test followed by Technical Interview.
Interview is thorough: interviewer assessed in detail and in the end also provided feedback on areas of improvement and performance.
The HR was also very helpful and guided throughout the process, keeping updated on different interview rounds.
Overall, a good company to have interviewed with.
Interview questions [1]
Question 1
I interviewed for C++ Developer.
Interviewer asked me questions on modern C++ concepts: move constructor, rvalues, exception handling, etc.
Some questions on multi threading API were also asked.
I applied through college or university. I interviewed at EPAM Systems (New York, NY) in Apr 2025
Interview
The process is very carefully crafted to assess the candidate technical domain, in my case python, the interview asks lots of questions about day to day processes, not only technical aspects, at the end few live coding questions.
Interview questions [1]
Question 1
Asks a lot about Python internals, git, Database indexing, architecture decisions, leadership
I applied through a recruiter. I interviewed at EPAM Systems (Riyad) in Nov 2024
Interview
I went through a series of technical and non-technical interviews that assessed programming problem solving, SQL querying skills, and Apache Spark knowledge, along with communication ability, logical reasoning, system understanding, and practical experience handling real-world data engineering challenges in a professional environment.