The interview process consisted of multiple rounds designed to evaluate both technical expertise and overall fit for the organization. The first round was a Data Structures and Algorithms (DSA) round. This round focused on assessing problem-solving ability, coding skills, and understanding of core computer science concepts. The questions required strong knowledge of algorithms, time and space complexity analysis, and the ability to write clean, optimized code under time constraints. Communication of thought process and handling edge cases were also key evaluation criteria. Following this, there were two machine coding rounds. These rounds were more practical and aimed at evaluating real-world engineering skills. Candidates were expected to design and implement a scalable and maintainable solution within a limited time frame. Emphasis was placed on code structure, modularity, readability, and proper use of design patterns. Handling edge cases, writing extensible code, and demonstrating good software engineering practices such as error handling and testing were important aspects of these rounds. The next round was a manager round. This round focused on assessing the candidate’s ability to work within a team, handle ownership, and contribute to larger projects. Questions revolved around past experiences, decision-making, handling production issues, and collaboration with cross-functional teams. The interviewer also evaluated problem-solving approaches in ambiguous situations and the ability to prioritize tasks effectively. The final round was a culture fit round. This round aimed to determine alignment with the company’s values and work culture. It included discussions about work ethics, adaptability, communication style, and long-term goals. The goal was to ensure that the candidate would integrate well within the team and contribute positively to the organization.