System Design and Behavioral Intelligence

Master system design and behavioral interviews with practical frameworks, real-world design case studies, leadership storytelling techniques, and AI-assisted strategies for senior software engineering roles. Key FeaturesDesign scalable systems using modern architectures and real-world case studiesUse a structured framework for system design interviews, including Agentic AIDevelop Behavioral Intelligence to read the signals behind questionsMaster STAR-R and leadership storytelling for senior rolesGet a free PDF eBook with print or Kindle purchaseBook DescriptionDevelop the skills that matter most in modern software engineering by combining real-world system design with structured behavioral intelligence, the technical and human strengths that carry you through your work and your career.You start with the foundations, distributed systems, networking, scalability, security, databases, and architecture patterns, then work through full design walkthroughs, from a real-time bidding platform to an agentic AI system for investment research, weighing the trade-offs that shape real systems: performance, reliability, and availability, plus observability and the tools reshaping design in the AI era.On the behavioral side, you move beyond memorized answers. Turn real work into high-signal stories with STAR+R and a lasting story bank, speak the language of delivery and stakeholders through DORA and RACI, and learn the scorecard interviewers use to evaluate you. You also get guidance for Big Tech interviews, AI-assisted preparation, and strategies from technology leaders Shalini Goyal and Alok Sharan.By the end, you will approach both system design and behavioral interviews with confidence, communicate your decisions clearly, and show the technical and leadership qualities modern engineering demands.What you will learnApply a structured, repeatable approach to system designDesign scalable distributed systems with confidenceEvaluate architectural trade-offs for real systemsApply core design patterns and algorithmsDesign AI-native and agentic systemsBuild high-signal stories with STAR+R and a story bankCraft senior-level leadership and impact storiesLearn how Big Tech evaluates you, including the scorecardSpeak the language of DORA, RACI, and risk heatmapsUse AI to prepare, practice, and sharpen your storiesWho this book is forSoftware engineers, backend developers, senior developers, solution architects, engineering managers, executives and computer science students preparing for technical interviews will benefit from this book. It is also valuable for professionals targeting senior engineering roles at product companies and FAANG organizations. Readers should have a basic understanding of software development, data structures, algorithms, and object-oriented programming.

Shalini Goyal is Executive Director and Regional Head of Payments Technology for Regulatory Reporting at J.P. Morgan. With 20+ years across Amazon, Publicis Sapient, Optum Health, and TCS. Her technical leadership has reached billions of customers through large-scale digital transformation, cloud adoption, and AI-driven initiatives.A global public speaker and mentor, she frequently addresses conferences, podcasts, and YouTube audiences on AI, system design, and career growth. With a following of 125,000+ on LinkedIn and X, she makes complex technical concepts accessible to everyone from engineers to CTOs and CEOs navigating change in tech. A lecturer at Zigurat University and a 2024 TechWomen100 finalist, she is dedicated to helping engineers thrive in an AI-driven future. Alok Sharan is an experienced technology expert who has spent 20 years building software architectures that help enterprizes achieve their business objectives through innovative design, development, and engineering. Throughout his career, he has worked across a broad range of technologies, specializing in digital transformation, guiding organizations through on-premise to AWS cloud migrations, and delivering robust Identity and Access Management solutions.Alok is known for his ability to create purpose-built solutions, underpinned by strong problem-solving skills and deep architectural expertise. His experience is further demonstrated by a number of industry-recognized certifications, including TOGAF, AWS Solutions Architect-Professional, and AWS Machine Learning Specialty.