The interview process consisted of 3 technical rounds after an initial recruiter screening. Overall, it was well-structured and focused on practical skills. First round focused on basic data structures and backend fundamentals. It included A couple of easy to medium DSA questions (arrays, strings). Some basic Python and Django/Flask questions. Second round was more in-depth and covered Medium-level DSA (e.g., binary search variants, hashmaps), Python concepts, Django internals, and PostgreSQL queries. Third round focused on system design and backend architecture. It included High-level discussion on API architecture and scaling. A task to create a POST API in Django to update student details. Discussion on database modeling and handling large datasets in PostgreSQL. The interviews were to the point and assessed both practical coding skills and real-world backend experience. The interviewers were friendly and gave hints when stuck. If you are strong in Python, Django, and database design, you’ll enjoy the process.