The interview process was structured and relatively smooth, with a strong focus on both technical ability and practical problem solving. The process began with an initial recruiter screening, which covered my background, experience, and general fit for the role. This was followed by a technical assessment round conducted on a live coding platform, where I was asked to solve multiple problems related to data structures and algorithms. The questions were practical and tested problem-solving ability, code efficiency, and edge case handling. After successfully clearing the technical round, I progressed to one or more virtual interviews with team members. These rounds were more conversational and focused on a mix of technical depth and real-world application. I was asked about my previous projects, system design thinking, and how I approached building scalable solutions. There was also an emphasis on understanding how I work within teams, handle ambiguity, and communicate technical ideas. The overall process was efficient and well-coordinated, with clear communication from the recruiting team at each stage. The interviewers were knowledgeable and focused on evaluating both technical competence and the ability to apply that knowledge in a practical, business-oriented context.