On a high level, a cloud engineer is responsible for designing, building, and maintaining an organization's cloud computing infrastructure and systems.

It is beneficial to have experience with multiple cloud providers as a cloud engineer.

If you are starting, I would highly recommend concentrating on one cloud provider first: AWS, Azure, or GCP.

As a cloud engineer, it is important to understand at least one programming or scripting language say Shell scripting and Python, especially for automating tasks and provision resources in the cloud.

Know your way around Git and a product like GitHub or Gitlab.

Step 5: Learning DevOps principles &amp; tools

DevOps is a set of practices that aims to improve collaboration between development and operations teams and increase software delivery speed and reliability.

Seeking opportunities to gain practical, hands-on experience with cloud technologies is essential to becoming a successful cloud engineer.

The first step is to create an account with one of the big cloud providers, AWS, Azure, or GCP.

Obtaining a certification can be beneficial for several reasons:

To become a successful Cloud Engineer, you need to have a mindset focused on delivering scalable, reliable, and secure solutions.

This guide on how to become a cloud engineer will cover the cloud engineer role, essential skills, and the average salary offered in the industry.

Becoming a Cloud Engineer

Cloud Architect

Lead Cloud Engineer

Tech Delivery Specialist

Professional Services Delivery Engineer - II

DevSecops Engineer

Technology Analyst

Senior Systems Engineer

Akhil Mittal



DevOps is an important skill to learn because it enables teams to develop, deploy, and operate software quickly and reliably. This helps to reduce risks, increase efficiency, and improve collaboration.

DevOps



Python is a powerful and versatile programming language that can be used to develop solutions for many different problems. It is easy to learn and understand, and has a wide range of libraries and frameworks for advanced development.

Python



Docker is an important skill to learn because it allows for the creation of isolated and easily replicable environments, making app development and deployment faster and more secure.

Docker



Kubernetes is a powerful tool that allows for efficient container orchestration, scalability, and portability. It is essential for cloud computing and managing distributed systems in production. Knowing Kubernetes can open up a lot of opportunities for developers.

Kubernetes



AWS is an important skill to learn because it is the leading cloud computing platform that is used by many companies and organizations to store, manage and process data. It provides reliable, cost-effective and scalable solutions for a variety of applications.



Bash scripting is an important skill to learn because it allows users to easily automate tasks and create powerful, efficient scripts. It is also a great way to increase productivity and learn more about Linux systems.

Bash Scripting



Machine Learning is an important skill to learn because it enables us to develop smart and efficient solutions to complex problems. It helps us discover hidden patterns and insights from data, and make data-driven decisions.

Machine Learning



IaC is an important skill to learn as it allows for the automation of infrastructure, resulting in greater efficiencies, scalability, and cost savings. It also reduces the complexity of managing environments and enables a more DevOps-focused approach.



Powershell is an important skill to learn as it is a powerful command-line shell used to automate system administration tasks. It is versatile and helps system administrators to quickly and easily manage large scale infrastructure.

Powershell



Site Reliability Engineering is important to learn as it is the process of designing, building, and operating systems that are reliable, secure, and maintainable. It is essential to ensure that services remain available and performant.

Site Reliability Engineering



Linux/Unix is an important skill to learn as it is a key component of many modern operating systems. It is reliable, secure and offers great flexibility, making it a powerful tool for many tasks.

Linux/Unix



Jenkins is an important skill to learn as it is a powerful automation tool that helps organizations streamline their development and delivery cycle. It is a great tool for automating tasks such as testing, deployment, and integration. It also enables great scalability and flexibility to meet the needs of any organization.

Jenkins

Github



Kafka is a powerful distributed streaming platform that enables organizations to build real-time data pipelines and streaming applications. It is an important skill to learn as it helps with processing, managing and analyzing high volume of data quickly and efficiently.

Kafka



Prometheus is an important skill to learn because it provides powerful monitoring and alerting capabilities that can help identify and address potential problems before they become critical. It also enables users to have better insight into the performance of their systems.

Prometheus



Elastic Search is a powerful search engine technology used by many websites and organizations, allowing users to quickly search and access data. It is an important skill to learn as it provides users with a powerful way to search and retrieve data.

Elastic Search



Leadership & Communication are essential skills to learn as they help you to understand yourself and others better, bring people together and help to create a successful team to achieve great results.

Leadership & Communication



Shell scripting is an important skill to learn as it allows users to automate common tasks, enabling them to complete complex tasks more quickly and efficiently. It can also save time and money by allowing users to quickly and easily create scripts to automate processes.

Shell Scripting



TensorFlow is a powerful deep learning library that enables developers to easily build and deploy machine learning models. Learning TensorFlow gives developers the ability to create complex neural networks and deep learning algorithms, allowing applications to make intelligent decisions and predictions.

Becoming a Cloud Engineer

Step 1: The Role

Step 2: The Fundamentals

Step 3: Selecting a Cloud Provider

Step 4: Acquiring programming knowledge

Step 5: Learning DevOps principles & tools

Step 6: Gaining Hands-On experience

Step: 7 Earning Certifications