#System Design

The Salesforce interview process was comprehensive and technically rigorous, consisting of four distinct rounds covering DSA, Low-Level Design, High-Level Design, and a Managerial interview. The coding round featured advanced graph algorithms, heap operations, and dynamic programming challenges, while the design rounds tested deep knowledge of scalable distributed systems and object-oriented patterns. Overall, the interview had a medium-to-hard difficulty level, demanding strong problem-solving capabilities, practical architectural experience, and solid communication skills.

The interview process at Meesho consisted of five rounds, including an online assessment focused on SQL and data structures, followed by coding problems and questions on big data concepts. Candidates faced a mix of technical coding questions, system design scenarios, and techno-managerial discussions. Overall, the difficulty level was medium, providing a challenging yet fair assessment of skills.

The Flipkart interview process comprised five rigorous rounds spanning an Online Assessment, on-site Machine Coding, Low-Level Design review, Data Structures & Algorithms, and a System Design combined with a Hiring Manager round. Across these rounds, the evaluation covered algorithmic problem solving including Trie and Graph topics, an end-to-end in-memory Buy Now Pay Later design, deep dive into microservices patterns, and behavioral competencies. The overall difficulty was medium to hard, reflecting a thorough assessment of practical coding, design architecture, and problem-solving skills.

The interview process with Amazon comprised five rounds, including an online assessment and multiple technical interviews. Questions focused on data structures and algorithms (DSA), debugging, leadership principles, system design, and the use of Generative AI in software development. The overall difficulty was medium to hard, with an emphasis on problem-solving and design skills, leaving a positive impression of the process.

The Blinkit interview process consisted of three comprehensive rounds evaluating problem solving, high-level system design, and cultural alignment. Round 1 focused on data structures, algorithmic coding, and core CS fundamentals. Round 2 deeply evaluated system design skills through designing a scalable promo code engine alongside distributed systems and database concepts, while Round 3 covered behavioral questions, project architecture, and messaging tradeoffs. Overall, the interview was moderately difficult with an emphasis on production systems, distributed caching, and practical engineering trade-offs.