Azure Cloud Engineer

An Azure Cloud Engineer designs and implements cloud infrastructure on the Microsoft Azure platform, ensuring scalability, security, and performance for Azure-based applications and services.
Salary Insights
High-ROI Certifications
Potential Lateral Jobs
Publications/ Groups

Azure Cloud Engineer

Glassdoor
Market
National (USA)
Base Salary
$110,118 / year
Satisfaction
Additional Benefits
Yes
Industry
All
Education
Bachelor's Degree

The average salary for Azure Cloud Engineer is $110,118 / year according to Glassdoor.com

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

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

Career Information

As an Azure Cloud Engineer, you will be responsible for designing, implementing, and managing cloud infrastructure on the Microsoft Azure platform. You will need a strong understanding of cloud computing technologies and Azure services, as well as experience with infrastructure automation and troubleshooting. Strong problem-solving and communication skills are essential, as you will be responsible for optimizing cloud performance and resolving any issues that arise.

The average salary for Azure Cloud Engineer is $110,118 / year according to Glassdoor.com
AI Disclaimer
The following text about the Job role of Azure Cloud 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 Azure Cloud Engineer is a technical role that involves designing, implementing, and maintaining cloud-based solutions on the Azure platform. This role requires a strong understanding of cloud technologies and services, as well as experience working with Microsoft Windows Server, SQL Server, and other Microsoft products.

The Azure Cloud Engineer is responsible for designing and implementing cloud-based solutions that meet the business needs of the organization. This includes working with business and IT stakeholders to understand business requirements and developing solutions that meet those requirements. The Azure Cloud Engineer is also responsible for maintaining and supporting the cloud-based solutions once they are implemented.

The most important skills for an Azure Cloud Engineer include:

  • A strong understanding of cloud technologies and services, including Microsoft Azure, Amazon Web Services, and Google Cloud Platform
  • Experience working with Microsoft Windows Server, SQL Server, and other Microsoft products
  • Knowledge of networking, storage, and other infrastructure components
  • Experience with cloud-based software development and deployment
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills

The Azure Cloud Engineer is responsible for a variety of tasks, including:

  • Designing and implementing cloud-based solutions that meet business requirements
  • Maintaining and supporting cloud-based solutions once they are implemented
  • Working with business and IT stakeholders to understand business requirements and develop solutions that meet those requirements
  • Conducting code reviews and providing feedback to developers
  • Conducting performance reviews and providing feedback to team members
  • Participating in team meetings and providing input on team decisions
  • Staying up-to-date on new technologies and trends in the cloud industry

The Azure Cloud Engineer is a critical role in the organization, as they are responsible for designing and implementing cloud-based solutions that meet business requirements. This role requires a strong understanding of cloud technologies and services, as well as experience working with Microsoft Windows Server, SQL Server, and other Microsoft products. The Azure Cloud Engineer must also have excellent communication and collaboration skills, as they will be working with business and IT stakeholders to understand business requirements and develop solutions that meet those requirements.

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 Associate Cloud Engineer

The Google Associate Cloud Engineer is a high-return-on-investment program designed for professionals who are responsible for deploying applications, monitoring operations, and managing enterprise solutions using Google Cloud technologies.

Intermediate
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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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AWS Certified Cloud Practitioner

CLF-C01

The AWS Cloud Practitioner certification program serves as an ideal starting point for individuals who are new to the world of cloud computing.

Beginner
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AWS Certified Solutions Architect — Associate

SAA-C02

The AWS Certified Solutions Architect — Associate serves as a reliable consultant for clients, playing a crucial role in crafting application design blueprints.

Beginner
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AWS Certified Solutions Architect — Professional

SAP-C02

An AWS Certified Solutions Architect Professional is skilled at assessing an organization's needs and providing architectural guidance for deploying and implementing AWS-based applications.

Intermediate
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KCSA: Kubernetes and Cloud Native Security Associate

KCSA

The KCSA program, designed by CNCF, aims to validate a candidate's understanding of foundational security technologies in the cloud-native ecosystem.

Beginner
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CKS: Certified Kubernetes Security Specialist

CKS

CKS is a high-ROI certification program recognized and respected by employers, offering increased job opportunities, career growth, and credibility in the field of Kubernetes security.

Advanced
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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.

ONAP Fundamentals (LFS263)

Training

Linux for System Engineers (LFS311)

Training

Monitoring Systems and Services with Prometheus (LFS241)

Training

Site Reliability Engineer

Nanodegree

DevOps, Cloud, and Agile Foundations Specialization

Specialization

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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