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 Features:
- Design scalable systems using modern architectures and real-world case studies
- Use a structured framework for system design interviews, including Agentic AI
- Develop Behavioral Intelligence to read the signals behind questions
- Master STAR-R and leadership storytelling for senior roles
- Get a free PDF eBook with print or Kindle purchase
Book Description:
Develop 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 Learn:
- Apply a structured, repeatable approach to system design
- Design scalable distributed systems with confidence
- Evaluate architectural trade-offs for real systems
- Apply core design patterns and algorithms
- Design AI-native and agentic systems
- Build high-signal stories with STAR+R and a story bank
- Craft senior-level leadership and impact stories
- Learn how Big Tech evaluates you, including the scorecard
- Speak the language of DORA, RACI, and risk heatmaps
- Use AI to prepare, practice, and sharpen your stories
Who this book is for:
Software 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.
Table of Contents
- The Art and Science of System Design
- Concepts Refresher: Knowledge Bites
- Distributed Systems: Algorithms, Techniques, and Patterns
- The Building Blocks of System Design
- Cross-Cutting Concerns: Security and Observability
- Elements and the Method to Design a System
- Designing a Slack-like Messaging System
- Designing a Distributed Key-Value Datastore
- Designing a Real-Time Bidding (RTB) System for Advertising
- Designing an Instagram-like Social Media System
- Designing an Agentic AI System for Investment Research
- The Signal Beneath the Stories: What Behavioral Intelligence Is
- The Power of Behavioral Intelligence at Work
(N.B. Please use the Read Sample option to see further chapters)
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