Software Development Engineer

In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.

Software startups make global headlines every day. As technology companies succeed and grow, so do their engineering departments. In your career, you'll may suddenly get the opportunity to lead teams: to become a manager. But this is often uncharted territory. How can you decide whether this career move is right for you? And if you do, what do you need to learn to succeed? Where do you start? How do you know that you're doing it right? What does "it" even mean? And isn't management a dirty word? This book will share the secrets you need to know to manage engineers successfully.

Salary surveys worldwide regularly place software architect in the top ten best jobs, yet no real guide exists to help developers become architects. Until now. This updated edition provides a comprehensive overview of software architecture's many aspects, with five new chapters covering the latest insights from the field. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming architecture, governance, data, generative AI, team topologies, and many other topics.

AI makes headlines, but many organizations face stalled projects, fragile infrastructure, and costly deployments. The AI Engineering Bible fills this gap. For engineers, leads, architects, and product owners, it offers a systematic approach to production-ready AI—grounded in best practices, scalable infrastructure, and real-world use. Covering the full AI lifecycle—from problem definition and data acquisition to deployment, optimization, and maintenance—it provides the depth needed to lead AI at scale.

This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.

Want to know the secret to becoming an expert software engineer and getting any job you want? The answer is simple: experience. In this book, I will show you the system I use to design, develop, and deliver open source software; steer you away from the mistakes I’ve made along the way; and help you build an impressive résumé of projects that’ll get you that job you’ve always wanted, and in time, will earn you the right to call yourself an expert.

How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.

Technical knowledge alone isn't enough - increase your software development income by leveling up your soft skills Early in his software developer career, John Sonmez discovered that technical knowledge alone isn't enough to break through to the next income level - developers need "soft skills" like the ability to learn new technologies just in time, communicate clearly with management and consulting clients, negotiate a fair hourly rate, and unite teammates and coworkers in working toward a common goal.

"AI-Assisted & Generative Software Engineering" is a comprehensive, practical, and forward-looking guide designed to equip the next generation of software engineers with the skills required to thrive in an AI-driven world. This book meticulously demystifies the integration of artificial intelligence across the entire software development lifecycle (SDLC), transforming it from a theoretical concept into a set of tangible, applicable skills. Key Features: 1. Hands-On Approach: Every chapter includes practical examples, tutorials, and case studies. The emphasis is on "doing" rather than just "...

Few books on software project management have been as influential and timeless as The Mythical Man-Month. With a blend of software engineering facts and thought-provoking opinions, Fred Brooks offers insight for anyone managing complex projects. These essays draw from his experience as project manager for the IBM System/360 computer family and then for OS/360, its massive software system.

At most technology companies, you'll reach Senior software engineer, the career level for software engineers, in five to eight years. At the career level, your company's career ladder won't require that you work towards the next promotion; being promoted further is an exception rather than expected. This is also when many engineers are first given an opportunity to move into engineering management.

Unlock the potential of Generative AI with this Large Language Model production-ready playbook for seamless deployment, optimization, and scaling. This hands-on guide takes you beyond theory, offering expert strategies for integrating LLMs into real-world applications using retrieval-augmented generation (RAG), vector databases, PEFT, LoRA, and scalable inference architectures. Whether you're an ML engineer, data scientist, or MLOps practitioner, you’ll gain the technical know-how to operationalize LLMs efficiently, reduce compute costs, and ensure rock-solid reliability in production.

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

Unlock the Keys to Success in Software Engineering In today's fast-paced world of technology, becoming a successful software engineer requires more than just mastering code. "The Software Engineer’s Survival Guide" by James Masterson provides the comprehensive blueprint every aspiring and experienced software developer needs to navigate the challenges and opportunities of this dynamic field. This book takes you on a journey through the career of Alex Thompson, a software engineer at Innovatech Solutions, whose experiences offer invaluable lessons for navigating the evolving landscape of ...

Software engineering, in its essence, is the disciplined application of engineering principles to the development, operation, and maintenance of software systems. It involves a systematic approach that encompasses requirements analysis, design, coding, testing, and maintenance, ensuring the creation of reliable, scalable, and efficient software solutions. The unique aspect of software engineering lies in its emphasis on structured methodologies, collaboration, and adherence to best practices to deliver high-quality software that meets user needs and addresses real-world challenges.

Every SaaS company on earth is careening towards its next revenue plateau. It’s called a Growth Ceiling—a moment in time where growth stops, and you’re losing just as many customers as you’re bringing in. It’s not an opinion—it’s just how recurring revenue businesses work.

From J.J.F. Reibel (MBA, M.S. Cybersecurity and Information Assurance, M.S. Data Analytics), the writer of numerous #1 Computer Science titles, comes C++ Programming, serving as both a stand alone C++ guide as well as a sequel to his previous publication, C Programming. Topics include: - C++ Basics - Additions to C++ from C - System Programming - Object-Oriented Programming - Network Programming - Data Programming - Gaming and Robotics

AI Product Development is a comprehensive and practical guide for product managers, engineers, data scientists, and tech leaders who are committed to creating intelligent products that solve real-world problems at scale. This book bridges the gap between machine learning theory and practical product delivery, offering a step-by-step blueprint for integrating AI into every stage of product development.

How to Succeed as a Software Tester: A Complete Guide to Mastering Your QA Career Are you ready to embark on a rewarding journey into the world of software testing? Whether you're just starting out or looking to advance your career, How to Succeed as a Software Tester offers everything you need to excel in the field of Quality Assurance (QA). In this comprehensive guide, you’ll uncover essential strategies and key concepts that will help you thrive as a software tester, from mastering the basics of manual testing to navigating the world of automation and API testing. You’ll learn how to...

Walk into any Fortune 500 company, peek behind the polished dashboards and sleek mobile apps, and you will find Java quietly powering the digital backbone. From banking transactions to airline reservations, from point-of-sale terminals to the newest cloud microservices, Java is the invisible engine that keeps global business moving. While flashier languages rise and fall, Java remains a bedrock—robust, secure, and battle-tested.