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Cloud Engineer

by Kelly Fiorini
Cloud engineering is a field that creates and maintains cloud-based systems for companies. Learn the skills cloud engineers need and their best practices.

What is a cloud engineer?

Cloud engineering is a multi-disciplinary practice of creating efficient cloud-based solutions for companies. The field draws from many skill areas, including information technology, systems, and service engineering.

The cloud is a network of servers that allows users to access services and software via the internet instead of their computers. Cloud engineers are the people who build, maintain, and troubleshoot the cloud computing environment or infrastructure. Cloud engineer is an umbrella term for the various roles involved in working on the cloud such as cloud architect, cloud systems engineer, and cloud software engineer. 

Cloud engineers and other IT professionals rely on cloud computing platforms for their cloud architecture and infrastructure. In addition to cloud computing services, these products typically allow for storage, application management, and performance tracking.

Types of cloud engineers

At smaller companies, cloud engineering duties might fall to one employee who serves multiple functions. On the other hand, enterprises might divvy up roles and responsibilities to: 

  1. Cloud architects. Cloud architecture involves using different technology components, like hardware, software, databases, platforms, and applications, to form a cloud. The cloud architect designs, oversees, and maintains the integration of these components based on a company’s needs.
  2. Cloud system operations engineers. Once an architect has designed and created a company’s system, a system operations engineer, also known as a SysOps engineer, manages and streamlines processes. They also help control the flow of data to and from the cloud.
  3. Cloud developers. This role specializes in building software, apps, and programs for cloud computing systems. A type of software engineer, cloud developers must have granular programming skills and the ability to troubleshoot issues as needed.

Cloud engineer skills

Cloud engineers need solid knowledge of the three main types of cloud computing: software-as-a-service (SaaS), platform-as-a-service (PaaS), and infrastructure-as-a-service (Iaas). Cloud engineering also requires:

  • System administration skills. Familiarity with using Linux, an open-source operating system, is essential for cloud engineers. Most major cloud solutions run Linux. 
  • Programming skills. Cloud engineers need a solid knowledge of programming and familiarity with programming languages, such as Ruby, SQL, and Python. 
  • Cloud security skills. Cloud engineers should know strategies to defend against common cloud security issues like data breaches, identity mismanagement, and distributed denial-of-service (DDoS) attacks.
  • Problem-solving skills. Migrating a system to the cloud presents unique challenges, like interoperability issues, vulnerabilities, and outages. Cloud engineering professionals must have the analytical and problem-solving capabilities to prevent and troubleshoot problems.
  • Leadership skills. Depending on the company, a cloud engineer may need to lead a team of other IT professionals, such as junior engineers. A cloud engineer benefits from having effective project management techniques, delegation capabilities, and facilitation skills. 

Benefits of cloud engineering

Cloud engineering improves a company’s overall agility, its capacity to adapt to changes in the marketplace. Some specific advantages to cloud engineering include:

  • Improves flexibility. Cloud engineers can configure the exact solution the company needs in real tomet and easily change it down the road. For example, they can add or drop terabytes of storage or use application programming interfaces (APIs) to facilitate communication between apps.  
  • Better mobility. Cloud solutions offer remote file sharing without device dependency. Employees can work from anywhere and still share data efficiently. 
  • Enhanced customer experience. With cloud-based data management, companies deliver a streamlined end-user experience across channels. Many cloud-based client relationship management (CRM) and customer experience (CX) software platforms exist via SaaS. With the help of cloud engineers, a company can select, integrate, and optimize these platforms to create a fast, meaningful customer experience.
  • Boosted security. Cloud engineers help select the best cloud security options to protect data, improve identity and access management (IAM), and promote compliance. 
  • Seamless scalability. A company can easily add to its existing cloud infrastructure in times of growth – or scale back when necessary. Cloud engineers can select optimal data storage for the company’s needs, and since most cloud platforms are subscription-based, the company only has to pay for what they use.
  • Easier collaboration. As a multidisciplinary field, cloud engineering relies on cooperation within the IT department. Employees from different cloud engineering sub-specialties, such as app development and system operations, work together to improve processes and make collective decisions.
Kelly Fiorini
KF

Kelly Fiorini

Kelly Fiorini is a freelance writer for G2. After ten years as a teacher, Kelly now creates content for mostly B2B SaaS clients. In her free time, she’s usually reading, spilling coffee, walking her dogs, and trying to keep her plants alive. Kelly received her Bachelor of Arts in English from the University of Notre Dame and her Master of Arts in Teaching from the University of Louisville.

Cloud Engineer Software

This list shows the top software that mention cloud engineer most on G2.

KodeKloud is a learning-by-doing platform that provides quality training in DevOps and Automation Technologies like Kubernetes, Docker, Ansible, OpenShift, Puppet, Chef, and many more. The platform offers multiple courses and teaches over 150,000 students globally. All courses focus on providing students with the best knowledge, including interactive sessions and experience that makes learning interesting and exciting. Every course offered comes with a completion certificate.

Cloud Run is the simplest way to deploy and scale serverless and container-based applications on Google Cloud. Start with source code, and have your application running anywhere in the world in seconds.

Pluralsight provides online training courses for developers and IT professionals.

Azure Functions is a serverless compute service that enables developers to build and deploy event-driven applications without the need to manage infrastructure. By automatically scaling resources based on demand, it allows for efficient execution of code in response to various triggers, such as HTTP requests, database changes, or messages from other Azure services. This approach simplifies the development process, reduces operational overhead, and supports a wide range of programming languages, including C#, JavaScript, Python, and Java. Key Features and Functionality: - Event-Driven Execution: Functions can be triggered by a variety of events, including HTTP requests, changes in data, or messages from services like Azure Service Bus. - Automatic Scaling: The service scales resources automatically based on the number of incoming events, ensuring optimal performance without manual intervention. - Multiple Language Support: Developers can write functions in languages such as C#, JavaScript, Python, and Java, allowing flexibility in development. - Integrated Development Tools: Azure Functions integrates with tools like Visual Studio and Visual Studio Code, providing a seamless development and debugging experience. - Flexible Hosting Options: Offers various hosting plans, including Consumption, Premium, and Dedicated (App Service) plans, to meet different performance and cost requirements. Primary Value and Problem Solving: Azure Functions addresses the challenge of managing infrastructure for event-driven applications by providing a fully managed, serverless environment. This allows developers to focus on writing code that responds to events without worrying about provisioning or maintaining servers. The automatic scaling feature ensures that applications can handle varying loads efficiently, while the pay-per-execution pricing model offers cost-effectiveness by charging only for the compute resources used during function execution. This combination of features accelerates development, reduces operational complexity, and enables rapid deployment of scalable applications.

IBM Aspera on Cloud is a hosted service to securely and reliably move your files and data sets of any size and type across a hybrid cloud environment.

Compute Engine enables you to create and run large-scale workloads on virtual machines hosted on Google Cloud. Get running quickly with pre-built and ready-to-go configurations or create machines of your own with the optimal amount of vCPU and memory required for your workload.

Azure Service Health notifies you and your teams when issues in Azure services affect your business-critical resources,, helps you understand the impacts of the issue, and keeps you updated as the issue is resolved.

Your AI is only as good as the data that feeds it. With IBM Cloud Pak for Data, you can make your data ready for an AI and multi-cloud world and access an array of IBM Watson technologies at your fingertips. Rapidly provision services for data scientists, data engineers and developers so they can work faster than ever. Simplify hybrid data management, unified data governance and integration, data science and business analytics with a single solution.

Azure Cloud Services is a comprehensive cloud computing platform developed by Microsoft, offering a wide array of services designed to help organizations build, deploy, and manage applications efficiently. With over 200 products and services, Azure provides solutions for computing, storage, networking, databases, analytics, artificial intelligence, and more, enabling businesses to address current challenges and innovate for the future. Key Features and Functionality: - Compute Services: Azure offers virtual machines for both Windows and Linux, enabling users to run applications in the cloud with scalability and flexibility. - Storage Solutions: Secure and scalable storage options are available, including Blob Storage for unstructured data and Azure Files for managed file shares. - Networking: Azure provides virtual networks, load balancers, and a content delivery network (CDN) to ensure reliable and fast connectivity. - Databases: Managed database services such as Azure SQL Database and Cosmos DB support various data models and ensure high availability. - AI and Machine Learning: Azure AI services and Azure Machine Learning enable the development of intelligent applications with capabilities like natural language processing and computer vision. - Security and Compliance: Azure offers built-in security controls, threat intelligence, and compliance certifications to protect data and applications. Primary Value and Solutions: Azure Cloud Services empowers organizations to accelerate digital transformation by providing a flexible and scalable platform that supports a wide range of workloads. It addresses challenges such as infrastructure management, data storage, and application development, allowing businesses to focus on innovation and delivering value to their customers. With its global presence and commitment to security, Azure ensures that applications are reliable, performant, and compliant with industry standards.

5centsCDN is the answer to all your content delivery network needs with market competitive rates and multiple packages such as ala cart and pay as you go cdn. Enhance your streaming experience with web accelerations and efficient vod services.

The AWS Cloud Development Kit (AWS CDK) is an open-source software development framework that enables developers to define cloud infrastructure using familiar programming languages such as TypeScript, Python, Java, C#, and Go. By leveraging AWS CDK, developers can model and provision cloud application resources through code, streamlining the process of building and managing AWS environments. Key Features and Functionality: - Familiar Programming Languages: AWS CDK supports multiple languages, allowing developers to use their preferred programming language to define cloud infrastructure. - Reusable Constructs: The framework provides a library of constructs—pre-built components that encapsulate AWS resources and configurations—promoting reusability and reducing boilerplate code. - Higher-Level Abstractions: Developers can create custom, higher-level abstractions known as patterns to simplify complex infrastructure setups and improve maintainability. - Integration with AWS CloudFormation: AWS CDK applications are compiled into AWS CloudFormation templates, ensuring compatibility with existing AWS CloudFormation features and tools. - Modularity and Extensibility: The framework encourages modularity and extensibility by allowing developers to create and share custom constructs and patterns. Primary Value and Problem Solved: AWS CDK addresses the challenge of managing cloud infrastructure by enabling developers to define and provision resources using code, thereby treating infrastructure as code (IaC). This approach enhances productivity, ensures consistency, and facilitates best practices in cloud application development. By using familiar programming languages, developers can seamlessly integrate infrastructure definition with application code, leading to more efficient development workflows and easier maintenance of cloud environments.

Azure Storage Explorer Preview is a standalone app that allows you to easily work with Azure Storage data - from any platform, anywhere. It creates and manages blobs, tables, queues, generate SAS keys, and more.

Hoxhunt is a human risk management platform that combines AI and behavioral science to create and assign individualized learning paths that drive true behavior change and (measurably) lower human risk.

Whizlabs is the pioneer among online training providers over the world. We provide online certification training in various disciplines such as Cloud Computing, Java, Big Data, Project Management, Agile, Linux etc. Launched in 2000, Whizlabs has now completed 18+ years of success. We have helped 3M+ professionals and 100+ companies across the world to succeed in their careers with multitudes of courses across the domains. We are dedicated to helping you learn the skills you need to achieve your goals. To Know More about us, please visit - https://www.whizlabs.com/about-us/