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Cloud Computing Engineer

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April 2, 2024 Updated April 8, 2025 18 minute read

Cloud Computing Engineer: Building the Future's Infrastructure

A Cloud Computing Engineer is a technology professional responsible for designing, implementing, managing, and maintaining an organization's cloud-based systems and infrastructure. Think of them as the architects and builders of the digital foundations that support modern applications and services, but instead of using physical bricks and mortar, they work with virtual resources provided over the internet by companies like Amazon (AWS), Microsoft (Azure), and Google (GCP).

At its core, cloud computing allows access to computing resources—like servers, storage, databases, networking, software, and analytics—on demand, over the internet, often on a pay-as-you-go basis. Cloud Engineers ensure these resources are available, secure, efficient, and scalable to meet changing needs. They work at the intersection of software development, IT operations, networking, and security, making it a dynamic and multifaceted role.

Working as a Cloud Computing Engineer can be incredibly engaging. You'll often be at the forefront of technological innovation, helping organizations leverage powerful tools to solve complex problems, scale their operations globally, and accelerate their digital transformation journeys. The constant evolution of cloud technologies means there's always something new to learn, keeping the work intellectually stimulating and challenging.

Introduction: What is a Cloud Computing Engineer?

Defining the Role

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Salaries for Cloud Computing Engineer

City
Median
New York
$160,000
San Francisco
$166,000
Seattle
$184,000
See all salaries
City
Median
New York
$160,000
San Francisco
$166,000
Seattle
$184,000
Austin
$168,000
Toronto
$135,000
London
£92,000
Paris
€58,000
Berlin
€80,000
Tel Aviv
₪776,000
Singapore
S$110,000
Beijing
¥269,000
Shanghai
¥510,000
Shenzhen
¥192,000
Bengalaru
₹2,200,000
Delhi
₹1,153,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to Cloud Computing Engineer

Take the first step.
We've curated 16 courses to help you on your path to Cloud Computing Engineer. Use these to develop your skills, build background knowledge, and put what you learn to practice.
Sorted from most relevant to least relevant:

Reading list

We've selected some books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Cloud Computing Engineer.
Provides a comprehensive overview of the Azure platform, covering core concepts, services, and best practices. It great starting point for anyone looking to learn more about Azure.
Focuses specifically on the offensive side of Active Directory security, detailing exploitation techniques used by attackers. It's highly relevant for those interested in Active Directory pentesting and red teaming, as indicated by several course names. Understanding attack methods is crucial for building effective defenses.
Considered a comprehensive guide for IT professionals, this book delves into the architecture, design, deployment, and management of Active Directory. The third edition is updated to cover Windows Server 2022 and hybrid identity with Azure AD, making it relevant for current practices. It's suitable for those looking to deepen their understanding and gain expertise in complex AD environments.
Group Policy critical component of Active Directory for managing user and computer configurations. provides a deep dive into Group Policy, covering its fundamentals, security implications, and advanced management techniques. It's essential reading for anyone responsible for configuring and securing Windows environments using AD.
Covers the practical aspects of ML engineering, including model design, optimization, evaluation, and deployment into production.
This cookbook provides practical, scenario-based solutions for common Active Directory administration tasks. It's a valuable reference for administrators at all levels, offering step-by-step instructions for a wide range of challenges. It includes recipes for managing users, groups, and computers, working with Group Policy, and integrating with Azure AD, making it highly relevant for contemporary AD environments.
Provides a comprehensive overview of Azure for architects, covering best practices for designing and implementing cloud solutions. It valuable resource for anyone looking to modernize their infrastructure and applications with Azure.
Automating tasks with PowerShell key skill for modern Active Directory administrators. focuses specifically on using PowerShell to manage and administer AD. It's valuable for improving efficiency and handling large-scale AD environments. This book is particularly relevant given the emphasis on automation in the course descriptions.
This widely recognized and comprehensive book on Active Directory, often referred to as a foundational text. While the 5th edition might cover slightly older Windows Server versions, the core concepts of AD architecture, design, and management remain highly relevant. It's a valuable resource for gaining a broad and deep understanding of AD.
Similar to the newer administration cookbook, this edition provides a collection of recipes for performing various Active Directory tasks. It's a practical reference for administrators seeking solutions to specific problems. It covers a wide range of topics and provides different methods (GUI, command line, script) for accomplishing tasks.
Focuses on engineering and building Active Directory environments for the future, addressing typical design flaws and emphasizing security and reliability. It's relevant for those involved in designing and implementing new AD infrastructures or modernizing existing ones.
Dives deep into the principles and practices of cloud-native architecture on Azure. It valuable resource for anyone looking to build and operate scalable and reliable cloud solutions.
Provides in-depth technical details of Active Directory, covering design, architecture, topology, and management. It's often cited as a comprehensive resource for serious AD professionals. While some editions may cover older Windows Server versions, the foundational concepts remain highly relevant for understanding the inner workings of AD.
Focuses on the practical aspects of designing, building, and deploying Active Directory infrastructures. It's a valuable resource for those involved in the initial setup and configuration of AD, covering key design considerations and deployment steps. (ISBN varies by edition).
Dives deep into building authentication solutions using Azure Active Directory, focusing on modern protocols like OpenID Connect and OAuth. It's particularly relevant for developers and architects working on applications that integrate with Azure AD for identity and access management.
Provides a comprehensive introduction to DL engineering, covering topics such as neural networks, deep learning architectures, and optimization techniques.
Provides a comprehensive guide to using Azure Machine Learning, a cloud-based platform for building, training, and deploying machine learning models. It valuable resource for anyone looking to use machine learning in their Azure deployments.
Provides a practical guide to creating and managing virtual machines in Azure. It valuable resource for anyone looking to build and operate virtualized cloud servers in Azure.
Is designed as a study guide for a Microsoft certification exam focused on identity with Windows Server 2016, which heavily features Active Directory. While the exam is retired, the content provides a structured approach to learning key AD concepts and tasks relevant to that era.
Covers the practical aspects of NLP engineering, including text preprocessing, feature engineering, and model training and evaluation.
Provides a practical guide to using Azure DevOps, a cloud-based platform for continuous integration and deployment. It valuable resource for anyone looking to streamline their development and deployment processes.
Provides a gentle introduction to AI engineering, covering the basics of AI systems and how to build and deploy them.
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