Find out what cloud engineering is, how much cloud engineers earn, and how to build hands-on skills in AWS, Azure, and DevOps with Udacity’s online programs.
A cloud engineer is an IT professiona(opens in a new tab)l who designs, builds, and manages cloud-based systems and infrastructure. They ensure platforms like AWS, Azure, and Google Cloud are reliable, scalable, secure, and cost-effective for business operations.
Cloud engineers have become essential as nearly every organization moves to the cloud. Research shows that around 85% of companies will operate cloud-first(opens in a new tab) by 2025, driven by remote work, digital transformation, and AI-driven business models. Global spending on public cloud services is projected to hit $723 billion in 2025.(opens in a new tab)
This demand translates into strong salaries of around $100,000–$130,000 annually in the U.S(opens in a new tab)., often 25% higher than general IT roles. Employers value professionals who can build secure, automated, and efficient cloud environments.
If you’re ready to start building hands-on experience, check out Udacity’s Cloud DevOps Engineer Nanodegree(opens in a new tab), where you will learn all about cloud automation, CI/CD, and real-world deployment skills guided by industry experts.
A cloud engineer designs, builds, and manages cloud-based systems that let organizations run efficiently without maintaining physical servers. This cloud engineer definition centers on using virtualized computing resources over the internet to scale operations dynamically and pay only for what’s used.
Cloud engineering has evolved from traditional IT infrastructure into one of the most in-demand technology fields. By shifting from on-premise hardware to cloud environments, companies gain flexibility, faster deployment, and cost savings.
Cloud engineers work with three main service models:
Managing these environments requires close collaboration between infrastructure, security, and development teams—an approach that mirrors DevOps principles(opens in a new tab), where automation and shared responsibility keep systems reliable and scalable.
Cloud engineers also design and manage several cloud deployment models, each serving different organizational needs:
Public Cloud (AWS, Azure, GCP):
Uses shared infrastructure managed by major providers. It offers virtually unlimited scalability, global reach, and reduced upfront costs, ideal for startups and enterprises that prioritize agility and rapid innovation.
Private Cloud:
Operates on dedicated infrastructure for a single organization, offering greater control, customization, and security. It’s the preferred option for industries with strict compliance needs, such as finance or healthcare.
Hybrid and Multi-Cloud:
Combine public and private environments to balance performance, cost, and compliance. This strategy helps businesses keep sensitive data on private servers while leveraging public cloud resources for scalability or disaster recovery.
Complementary course collections:
Cloud computing and architecture AWS(opens in a new tab) + Azure, DevOps Fundamentals and Infrastructure Development(opens in a new tab)
Cloud engineering sits at the center of modern business and technology. As companies race to digitize operations and build resilient systems, cloud engineers have become indispensable. They design and maintain the cloud infrastructure that allows organizations to innovate faster, scale efficiently, and compete globally without owning a single physical server.
Digital Transformation Enabler Cloud engineers drive digital transformation by modernizing legacy systems and enabling rapid adoption of new technologies. Their work allows organizations to test ideas, launch products faster, and scale operations globally without heavy upfront investment in hardware.
Business Agility and Scalability A cloud infrastructure engineer helps businesses scale resources in real time. E-commerce sites can handle Black Friday traffic and startups can grow overnight without worrying about servers or capacity limits.
Cost Optimization A skilled cloud computing engineer ensures cloud resources are used efficiently. Through automation, rightsizing, and cost-monitoring tools, they help organizations avoid overspending and maximize return on investment.
Security and Compliance Cloud engineers play a key role in securing data through encryption, access management, and monitoring systems. They also ensure compliance with frameworks like GDPR, HIPAA, and SOC 2 to maintain trust and regulatory standing.
Innovation Acceleration Cloud platforms give engineers access to advanced tools like AI, machine learning, and serverless computing. These capabilities empower teams to innovate rapidly without needing to build or maintain complex infrastructure.
Career Stability and Global Opportunity The cloud engineering career path offers strong demand, high salaries, and global mobility. As remote work expands, cloud engineers can collaborate with international teams while managing infrastructure from anywhere.
Competitive Advantage for Organizations Businesses with robust cloud engineering capabilities innovate faster, launch features sooner, and maintain more reliable systems. In many industries, having experienced AWS or Azure cloud engineers is now a direct competitive differentiator.
Cloud engineering includes a wide range of roles, each focusing on different parts of cloud infrastructure, development, and security. Whether you want to design, build, or optimize systems, there’s a cloud engineering career path that fits your skills.
Cloud Architect Cloud architects design large-scale cloud solutions, set technical standards, and choose the right mix of services across AWS, Azure, or multi-cloud environments. They focus on scalability, security, and cost efficiency.
Cloud Developer / Software Engineer Cloud developers build and deploy cloud-native applications using services like AWS Lambda or Azure Functions. They write scalable code in Python, Java, or Go, integrating APIs and microservices optimized for cloud environments.
Cloud DevOps Engineer A cloud DevOps engineer automates CI/CD pipelines, manages infrastructure as code, and ensures smooth, reliable deployments. They bridge software development and system operations, making them highly versatile cloud computing engineers.
Cloud Security Engineer Cloud security engineers protect cloud environments through encryption, access controls, and continuous monitoring. Their expertise often includes identity and access management(opens in a new tab), data privacy(opens in a new tab), and cybersecurity(opens in a new tab), ensuring compliance with frameworks like SOC 2, HIPAA, and GDPR.
Cloud Network Engineer Cloud network engineers design and manage virtual networks, firewalls, and VPNs to maintain secure and efficient connectivity. Their work ensures cloud systems remain fast, reliable, and protected.
Cloud Systems Administrator Cloud administrators manage day-to-day operations such as performance monitoring, backups, and access control. This entry-level role provides strong hands-on experience for growth into architecture or DevOps.
Cloud Solutions Architect Solutions architects align business goals with technical design, creating migration roadmaps and recommending the best cloud services. They combine client-facing communication with deep technical knowledge.
Cloud Data Engineer Cloud data engineers build and maintain cloud-based data pipelines, warehouses, and analytics platforms. They integrate big data tools to power machine learning and business insights.
Most cloud engineers start broad before specializing in an area that aligns with their strengths. Programs like Udacity’s Cloud Computing School(opens in a new tab) let learners explore these specializations through hands-on, project-based training across architecture, DevOps, and data engineering.
Complementary Courses: AWS Cloud Architect(opens in a new tab), multi-cloud computing(opens in a new tab), cloud architecture using Microsoft Azure(opens in a new tab), Identity access management and data privacy(opens in a new tab), cybersecurity(opens in a new tab), cloud DevOps Nanodegree(opens in a new tab), Application deployment and CI/CD(opens in a new tab)
A successful cloud engineer blends deep technical knowledge with adaptability and collaboration. Below are the essential skills and technologies that define high-performing professionals in today’s cloud engineering career landscape.
Cloud Platform Expertise Mastery of a major platform like AWS, Azure, or Google Cloud is fundamental. AWS remains the market leader with a 25% share(opens in a new tab), Azure excels in enterprise integration, and GCP leads in data analytics and AI. Focusing on one platform first builds transferable expertise across others.
Linux and Operating Systems Most cloud environments run on Linux, so engineers need command-line fluency, file system management, and shell scripting experience. Knowledge of Windows Server is also useful in hybrid or enterprise environments.
Networking Fundamentals A cloud infrastructure engineer must understand TCP/IP, DNS, routing, subnets, VPNs, and load balancing. Cloud networking virtualizes these concepts, so engineers must know how to secure and optimize connectivity between distributed systems.
Programming and Scripting While not full-time developers, cloud engineers must automate tasks and integrations. Proficiency in Python and Bash is essential, while Go, Java, or Node.js are valuable for cloud-native application development.
Infrastructure as Code (IaC) Tools like Terraform, AWS CloudFormation, and Azure Resource Manager enable engineers to automate and version infrastructure setup. IaC ensures repeatability, scalability, and faster recovery.
Containerization and Orchestration Docker and Kubernetes have become essential for deploying scalable, consistent workloads. Containers ensure portability across development and production, while orchestration tools automate scheduling, scaling, and resilience in large environments.
DevOps Tools and Practices DevOps knowledge helps engineers deliver software faster and with fewer errors. Familiarity with CI/CD tools(opens in a new tab) such as Jenkins, GitLab CI, and GitHub Actions, along with monitoring solutions like Prometheus, Grafana, or CloudWatch, is key.
Database Management Cloud engineers should understand both SQL systems (MySQL, PostgreSQL) and NoSQL options (MongoDB, DynamoDB, Cosmos DB). They must also know when to choose managed database services like AWS RDS or Firestore for scalability and performance.
Security and Compliance Security is central to every cloud computing engineer’s role. Knowledge of identity assessment management(opens in a new tab), encryption, firewalls, and compliance frameworks such as SOC 2, PCI DSS, and HIPAA is critical.
Soft Skills Technical skills alone aren’t enough. Cloud engineers must communicate clearly, manage projects, and adapt quickly as technologies evolve. Understanding how technical choices affect business goals distinguishes great engineers from good ones.
For those ready to apply these concepts, the Cloud DevOps Engineer Nanodegree(opens in a new tab) offers a structured path. It covers AWS fundamentals, Infrastructure as Code, CI/CD automation, and Kubernetes, taught through projects reviewed by engineers from Fortune 500 companies.
Complementary courses: Google Cloud Platform(opens in a new tab)
Choosing which platform to learn is one of the most important decisions in your cloud engineering career. While the core concepts transfer across all providers, each cloud platform has unique strengths, ecosystems, and career opportunities.
Amazon Web Services (AWS) Amazon Web Services (AWS) launched in 2006(opens in a new tab) and remains the global leader, holding about 29-30 % of the cloud infrastructure market(opens in a new tab) in mid-2025. It offers more than 200 services covering compute (EC2), storage (S3), databases (RDS, DynamoDB), AI/ML, IoT and more. Its vast ecosystem and documentation make it a go-to choice for startups and enterprises alike.
Microsoft Azure Microsoft Azure holds approximately 20-22 % of the global cloud market as of Q2 2025. It is especially strong in enterprise environments thanks to tight integration with Microsoft products like Office 365, Active Directory and SQL Server, and supports hybrid cloud setups connecting on-premise and cloud resources.
Google Cloud Platform (GCP) Google Cloud Platform (GCP) holds around 12-13% of the market as of Q2 2025. Though smaller than the others, GCP is known for strengths in data analytics (BigQuery), machine learning (TensorFlow), and Kubernetes (which Google originated). Its lower competition and pricing appeal to data-intensive and AI-focused companies.
When choosing a platform to learn, align with your career goals and industry focus: AWS for broad demand and startup/scale-up environments; Azure for enterprise, hybrid and Microsoft-centric contexts; GCP for data/ML specialization and innovative companies.
Skills in multi-cloud and hybrid models are growing, so knowing tools like Terraform and Kubernetes gives a versatile advantage across providers.
Complementary Courses: Multi-cloud fundamentals(opens in a new tab)
The cloud engineering process blends technical precision with strategic design. Cloud engineers follow proven frameworks to plan, build, secure, and manage cloud infrastructure efficiently. By applying consistent best practices they ensure systems remain scalable, cost-effective, and reliable across every stage of deployment.
Cloud Architecture Design Cloud engineers start by assessing business goals, technical limits, and compliance needs to design scalable, secure architectures. They apply the principle of “designing for failure” by building redundancy and fault tolerance into every layer.
Infrastructure Deployment Modern cloud infrastructure engineers use Infrastructure as Code tools like Terraform or CloudFormation to automate deployments. Blue-green and canary strategies allow updates with zero downtime while reducing human error.
Security Implementation Security is embedded from day one through IAM, encryption, and defense-in-depth practices. Regular audits, patch management, and incident response plans are core cloud engineering responsibilities.
Cost Optimization Cloud engineers optimize budgets by rightsizing resources, leveraging auto-scaling, and using cost management tools. Continuous monitoring prevents runaway spending while maintaining performance.
Monitoring and Observability Comprehensive monitoring tracks system health, performance, and logs across distributed services. Tools like Prometheus, Grafana, and CloudWatch help cloud computing engineers detect and resolve issues proactively.
Automation and DevOps Integration Automation underpins the DevOps culture by using CI/CD pipelines, configuration management, and scripting to streamline delivery. This collaboration improves reliability and accelerates deployment cycles.
Disaster Recovery and Business Continuity Engineers plan for failure through regular backups, multi-region redundancy, and recovery testing. Clear RTOs and RPOs ensure systems can recover quickly from disruption.
Documentation and Knowledge Sharing Detailed documentation, runbooks, and internal wikis preserve institutional knowledge. Sharing lessons learned strengthens teams and supports long-term scalability.
Becoming a cloud engineer doesn’t require a particular path, just technical curiosity, structured learning, and hands-on experience. Whether you’re a recent graduate, a career changer, or an IT professional aiming to specialize, developing the right mix of platform expertise and problem-solving skills is key. This roadmap breaks down each step to help you confidently enter the cloud computing engineer field.
Educational Foundation While many cloud engineers hold degrees in computer science or IT, hands-on experience and certifications often outweigh formal education. Career changers with backgrounds in networking or system administration can transition effectively.
Building Cloud Fundamentals Start with core concepts such as service models, deployment types, and cloud economics using free AWS, Azure, or GCP tiers. Foundational tutorials and structured courses build the vocabulary every aspiring cloud engineer needs.
Choosing and Mastering a Cloud Platform Pick one platform to specialize in before expanding to others. AWS offers the widest demand, Azure fits enterprise roles, and GCP suits data and AI-focused careers.
Essential Certifications Begin with entry-level certifications like AWS Cloud Practitioner, Azure Fundamentals (AZ-900), or Google Cloud Digital Leader, then progress to associate or professional tiers. Certifications validate skills, boost credibility, and often increase salary potential.
Hands-On Project Experience Practical projects like deploying web apps, setting up CI/CD, or building IaC templates demonstrate real ability. Hosting your work on GitHub shows initiative and technical competence.
Complementary Technical Skills Key supporting skills include Linux administration, Python scripting, Docker and Kubernetes, and Git for version control. These reinforce your platform expertise and automation capability.
Community Engagement and Networking Join cloud forums, attend meetups, and follow thought leaders. Engaging with the DevOps and cloud engineering community accelerates learning and opens professional doors.
Continuous Learning Mindset Cloud technology evolves constantly, so successful engineers keep learning. Staying current with new services, certifications, and best practices ensures long-term career growth.
Explore the School of Cloud Computing to build in-demand skills in cloud architecture, DevOps, and infrastructure automation. Learn hands-on with programs like Google Cloud Fundamentals and the Cloud DevOps Engineer Nanodegree, and master platforms including AWS, Azure, and Google Cloud to design, deploy, and manage scalable systems.
Go beyond theory with this Nanodegree. Gain hands-on experience with cost optimization, infrastructure monitoring, and cutting-edge cloud security practices, including Zero Trust Architecture and advanced IAM solutions.
This Nanodegree program provides a comprehensive path to mastering AWS cloud architecture. It focuses on designing scalable solutions, optimizing performance, managing multi-account environments, and modernizing systems with hands-on projects.
Master cloud development with this Nanodegree on Microsoft Azure. Learn to build, deploy, migrate, and monitor applications while preparing for the AZ-204 certification through real-world projects.
Become an expert in cloud data engineering with this Nanodegree. Design scalable data architectures, build pipelines, and use Azure tools like Databricks and Synapse to drive powerful data insights.
In this program, you’ll develop the skills you need to join the rapidly growing cloud devops field.
Build and deploy advanced generative AI solutions on Azure with OpenAI models, GPT Vision, and DALL-E. Create RAG pipelines, craft prompts, automate workflows, and integrate multimodal AI applications.
Refine your machine learning skills with this AWS Machine Learning Engineer Nanodegree. Learn to deploy models on SageMaker and design automated workflows with AWS Lambda and Step Functions.
Explore the foundational concepts of designing and deploying scalable, extendable, and maintainable full-stack applications using modern cloud architecture.
Explore all of Udacity’s Schools, consisting of hundreds of career-driven programs and courses that are designed to teach practical skills and help you learn to your full potential.