Cloud Automation Engineer

A Cloud Automation Engineer specializes in creating automated systems for cloud-based infrastructures. They ensure seamless deployment, configuration, and management of applications and resources, using various scripting languages, APIs, and tools for optimal IT service delivery.
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Cloud Automation Engineer

Glassdoor
Market
National (USA)
Base Salary
$94,916 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Cloud Automation Engineer is $94,916 / year according to Glassdoor.com

There are no updated reports for Cloud Automation Engineer salaries. You can check potential lateral job opportunities in this information stack to find related salary information.

Cloud Automation Engineer role may have an alternate title depending on the company. To find more information, you can check Glassdoor.com.

Career Information

As a Cloud Automation Engineer, you will be responsible for automating and managing cloud infrastructure and services. This role requires strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud, as well as experience with infrastructure-as-code tools such as Terraform or CloudFormation. You should also have experience with scripting languages such as PowerShell or Python. Strong problem-solving and collaboration skills are also important in this role.

The average salary for Cloud Automation Engineer is $94,916 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Cloud Automation Engineer has been generated by an AI model developed by Cohere. While efforts have been made to ensure the accuracy and coherence of the content, there is a possibility that the model may produce hallucinated or incorrect information. Therefore, we strongly recommend independently verifying any information provided in this text before making any decisions or taking any actions based on it.

The Cloud Automation Engineer is a technical role that involves designing, implementing, and maintaining cloud-based systems and services. This role requires a strong understanding of cloud technologies and services, as well as experience with automation and scripting tools.

The Cloud Automation Engineer is responsible for designing and implementing cloud-based systems and services that are automated, scalable, and secure. This includes working with cloud providers such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP) to provision and manage cloud resources, as well as working with automation and scripting tools such as Ansible, Chef, and Terraform to automate the deployment and management of these resources.

The Cloud Automation Engineer is also responsible for monitoring and troubleshooting cloud-based systems and services, as well as working with development teams to ensure that cloud-based systems and services are properly integrated with other systems and services.

In addition to these technical responsibilities, the Cloud Automation Engineer is also responsible for working with business and operations teams to ensure that cloud-based systems and services meet business and operational needs. This includes working with business and operations teams to define requirements and scope for cloud-based systems and services, as well as working with business and operations teams to ensure that cloud-based systems and services are properly implemented and maintained.

The Cloud Automation Engineer is a highly technical role that requires a strong understanding of cloud technologies and services, as well as experience with automation and scripting tools. This role also requires strong communication and collaboration skills, as well as the ability to work effectively with business and operations teams.

Here are some of the most important skills and tasks for a Cloud Automation Engineer:

  • Strong understanding of cloud technologies and services: The Cloud Automation Engineer must have a strong understanding of cloud technologies and services, including AWS, Azure, and GCP. This includes understanding the different services and features offered by each cloud provider, as well as how to provision and manage these resources.
  • Experience with automation and scripting tools: The Cloud Automation Engineer must have experience with automation and scripting tools such as Ansible, Chef, and Terraform. This includes the ability to write and execute scripts to automate the deployment and management of cloud resources, as well as the ability to use these tools to create reusable templates and modules.
  • Strong communication and collaboration skills: The Cloud Automation Engineer must have strong communication and collaboration skills, as they will be working with business and operations teams to define requirements and scope for cloud-based systems and services. This includes the ability to listen to and understand business and operational needs, as well as the ability to communicate complex technical concepts in a clear and concise manner.
  • Ability to work effectively with business and operations teams: The Cloud Automation Engineer must be able to work effectively with business and operations teams to ensure that cloud-based systems and services meet business and operational needs. This includes the ability to understand and prioritize business and operational needs, as well as the ability to work with business and operations teams to define requirements and scope for cloud-based systems and services.
  • Experience with cloud-based systems and services: The Cloud Automation Engineer must have experience with cloud-based systems and services, including experience with AWS, Azure, and GCP. This includes experience with provisioning and managing cloud resources, as well as experience with integrating cloud-based systems and services with other systems and services.
  • Strong problem-solving and troubleshooting skills: The Cloud Automation Engineer must have strong problem-solving and troubleshooting skills, as they will be responsible for monitoring and troubleshooting cloud-based systems and services. This includes the ability to identify and resolve issues with cloud-based systems and services, as well as the ability to work with development teams to resolve issues with cloud-based systems and services.
  • Experience with version control systems: The Cloud Automation Engineer must have experience with version control systems such as Git, as they will be working with code and configuration files that are version-controlled. This includes the ability to use Git to clone, branch, and merge code and configuration files, as well as the ability to use Git to track changes to code and configuration files.
Potential Lateral Jobs
Explore the wide range of potential lateral job opportunities and career paths that are available in this role.

High-ROI Programs

Most roles require at least a bachelor's degree. To remain competitive, job seekers should consider specialization or skill-specific programs such as specialization, bootcamps or certifications.
Certification Programs
Consider pursuing specialized certifications or vendor-specific programs to enhance your qualifications and stand out in the job market.

Google Certified Professional Cloud DevOps Engineer

The Google Certified Professional Cloud DevOps Engineer program is a High-ROI program designed for DevOps professionals who want to acquire specialty skills and knowledge required for advanced job roles.

Intermediate
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AWS Certified DevOps Engineer — Professional

DOP-C01

AWS Certified DevOps Engineers possess comprehensive knowledge of deploying continuous delivery systems and methodologies within the AWS Cloud.

Advanced
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Microsoft Certified: DevOps Engineer Expert

AZ-400

The Azure DevOps Certification is a high-ROI program designed for DevOps professionals who are interested in upgrading their skills and knowledge of Cloud DevOps.

Advanced
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CKA: Certified Kubernetes Administrator

CKA

The Certified Kubernetes Administrator (CKA) program is a highly sought-after certification in the rapidly evolving tech economy.

Intermediate
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KCNA: Kubernetes and Cloud Native Associate

KCNA

The Kubernetes and Cloud Native Associate (KCNA) is a pre-professional certification program that demonstrates a user's foundational knowledge and skills in Kubernetes and the broader cloud native ecosystem.

Beginner
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Specialty Courses improving
If you want to improve your skills and knowledge in a particular field, you should think about enrolling in a Nanodegree or specialization program. This can greatly improve your chances of finding a job and make you more competitive in the job market.

DevOps Bootcamp

Mentorship

The Linux Foundation's DevOps Bootcamp offers a comprehensive introduction to DevOps, DevSecOps, and related tools, with content developed by CNCF professionals.

Intermediate
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DevOps and SRE Fundamentals: Implementing Continuous Delivery (LFS261)

Training

Cloud DevOps Engineer

Nanodegree

Master DevOps & Cloud Native practices with technical mentorship in this vendor-neutral program.

Intermediate
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DevOps for Network Engineers (LFS266)

Training

Become a Cloud DevOps Engineer

Nanodegree

You will learn to design and deploy infrastructure as code, build and monitor CI/CD pipelines for various deployment strategies, and deploy scalable microservices using Kubernetes, culminating in a capstone project to showcase your new skills.

Intermediate
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Cloud Engineer Bootcamp

Mentorship

This high-ROI Cloud Engineering Bootcamp covers Linux, networking, DevOps, SRE, Kubernetes, and more, enabling you to excel in the high-paying, consumption-driven tech industry.

Intermediate
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Advanced Cloud Engineer Bootcamp

Mentorship

This advanced cloud engineering bootcamp is for aspiring cloud engineers to develop a specialty for developing and operating cloud-based applications and services.

ONAP Fundamentals (LFS263)

Training

GitOps: Continuous Delivery on Kubernetes with Flux (LFS269)

Training

Mastering Selenium

Skill Track

Resource Stacks

We are soon crowdsourcing these resource stacks to collate the best resources, such as publications, community groups, job boards, etc., that are practically suitable for every contextual stack.
Publications
Discover the wide array of publications that professionals in this role actively engage with, expanding their knowledge and staying informed about the latest industry trends and developments.
Communities updating
Discover the thriving communities where professionals in this role come together to exchange knowledge, foster collaboration, and stay at the forefront of industry trends.
Research updating
We are currently in the process of updating contextual resources and we will be adding the new ones to the list shortly.
AI Disclosure: We are testing AI technologies to ensure the accuracy and coherence of recommendations. However, it is important to note that there is a possibility that the model may create hallucinated or incorrect inferences. Therefore, we highly recommend independently verifying any information provided in these stacks before making any decisions or taking any actions based on it.
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