The Tech Interview Playbook: From DSA to System Design
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About this ebook
The landscape for interview has evolved significantly; where rote memorization of algorithms might have once sufficed, today's interviews are structured as a collaborative conversation. They are designed to assess not just your technical knowledge, but more importantly, how you think. Companies today are looking for engineers who can analyze complex trade-offs, design resilient systems, and articulate their thought process with exceptional clarity. The focus has shifted from finding a single, perfect answer to exploring the solution space like a true engineer.
Essential modern software concepts such as distributed system design, cloud-native architecture, advanced concurrency, and API design. This book will not merely provide you with answers; it will equip you with the mental frameworks and contextual understanding necessary to demonstrate the engineering mindset that top-tier companies are actively searching for.
Chinmoy Mukherjee
Chinmoy Mukherjee has been working as solution architect for past 15 years. Over the past 25 years, he has contributed to 50 real-world software projects as an individual contributor. His experience has enabled him to design, develop, and deploy some of the most complex systems, handling millions of transactions per day. As both an AWS and GCP-certified architect, he has not only built 8 systems from scratch but has also successfully re-engineered 7 legacy systems, improving their performance by 15–30%. His expertise in cybersecurity has led to incredible discoveries—some thrilling, some frustrating. He was listed among the top 100 security researchers in the world for Microsoft (Q4, 2022) and also in Google's Hall of Fame. He ethically hacked Baba Bank, retrieving its entire customer database, and even achieved remote code execution in JPMC & Solana. Over time, he has reported critical vulnerabilities to 50+ Australian companies and received bug bounties from Uber, Apple, Mastercard, Octopus Australia, MagicLeap, and Paysafe. One of his wildest exploits? He found a vulnerability that let him order a Porsche without paying—only to receive a meager $1050 bounty for the discovery. His penchant for testing boundaries made him the first engineer among 500,000 in HCLTech to complete and download all 1,000 offered certificates. In the industry, he played a critical role in defeating Infosys in 3 major RFPs while being part of underdog teams. Beyond corporate challenges, he took the lead in India's first blockchain token deployment, successfully developing and listing tokens on the Ethereum network. Innovation has been central to his career. He holds 3 patents, granted in the USA and Australia. Among them, he developed "Patient Analytics," a patented system that underwent successful clinical trials in India. His contributions extend beyond hands-on work—he has written 4 bestselling eBooks (3 technical and 1 parody) and published a technical book via Springer.
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The Tech Interview Playbook - Chinmoy Mukherjee
Introduction: Navigating the Tech Interview Landscape
The landscape for interview has evolved significantly; where rote memorization of algorithms might have once sufficed, today’s interviews are structured as a collaborative conversation. They are designed to assess not just your technical knowledge, but more importantly, how you think. Companies today are looking for engineers who can analyze complex trade-offs, design resilient systems, and articulate their thought process with exceptional clarity. The focus has shifted from finding a single, perfect answer to exploring the solution space like a true engineer.
Essential modern software concepts such as distributed system design, cloud-native architecture, advanced concurrency, and API design. This book will not merely provide you with answers; it will equip you with the mental frameworks and contextual understanding necessary to demonstrate the engineering mindset that top-tier companies are actively searching for.
Chapter 1: The Bedrock - Data Structures & Algorithms (DSA)
Data Structures and Algorithms continue to be the absolute foundation of software engineering and, by extension, the technical interview. A robust understanding of DSA serves as a proxy for your capacity to write efficient, optimized, and scalable code. However, in today's landscape, simply arriving at a correct solution is no longer sufficient. You are expected to perform a thorough analysis of its performance, clearly articulate the time and space complexity using Big O notation, and confidently discuss the trade-offs of alternative approaches you considered and why you discarded them.
1.1 Linked Lists: The Building Blocks
Linked lists are a fundamental data structure, often used to assess your core understanding of pointers, memory allocation, and iteration.
Question: How do you reverse a linked list?
This is arguably the most iconic linked list question. You should be prepared to solve it both iteratively and recursively, understanding the trade-offs of each
