Round 1: Technical Screening

Round 1: Technical Screening

The technical screening commenced with a warm introduction, followed by an overview of the interview process. Questions primarily revolved around foundational Data Structures and Algorithms (DSA) concepts such as arrays, linked lists, and trees. Tasks included implementing functions like reversing a linked list and detecting cycles within it. The interviewer gauged my understanding of time and space complexities, particularly in algorithms like bubble sort and Kadane’s algorithm. Despite the increasing difficulty, the interviewer offered helpful hints, fostering a collaborative problem-solving environment....

Round 2: Algorithmic Problem Solving

This phase focused on assessing problem-solving skills and algorithmic proficiency. Challenges ranged from medium to hard difficulty levels, with problems like implementing Dijkstra’s algorithm for finding the shortest path in a weighted graph. I tackled tasks involving binary trees, including checking if a tree is a binary search tree and finding the kth smallest element. A notable problem entailed designing a data structure to efficiently track the median of a continuous stream of numbers. The interviewer encouraged discussion on various strategies before coding, emphasizing efficiency and readability....

Round 3: System Design and Behavioral

The final round encompassed system design and behavioural questions, providing a holistic evaluation. I engaged in a discussion on real-world scenarios, such as scaling distributed systems for handling high traffic during peak hours. System design inquiries delved into considerations like scalability, reliability, and performance. Behavioural questions explored communication skills, conflict resolution, and adaptability. The session concluded with an opportunity to inquire about Flipkart’s tech stack, team dynamics, and upcoming projects....