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Part Time Azure Support Engineer Jobs (NOW HIRING)

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Part Time Azure Support Engineer information

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$39

$68

How much do part time azure support engineer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for part time azure support engineer in the United States is $39.87, according to ZipRecruiter salary data. Most workers in this role earn between $29.57 and $46.63 per hour, depending on experience, location, and employer.

What is the difference between Part Time Azure Support Engineer vs Part Time Cloud Support Specialist?

AspectPart Time Azure Support EngineerPart Time Cloud Support Specialist
CertificationsAzure Fundamentals, Azure Support certificationsCloud certifications (AWS, Azure, Google Cloud)
Work EnvironmentAzure cloud platforms, Microsoft environmentsMultiple cloud platforms, diverse environments
Industry UsagePrimarily in companies using Microsoft AzureIn organizations using various cloud providers
Search & Comparison IntentFocus on Azure-specific support rolesBroader cloud support roles across providers

The Part Time Azure Support Engineer specializes in supporting Microsoft Azure services, requiring Azure-specific certifications and working mainly within Microsoft-centric environments. In contrast, the Part Time Cloud Support Specialist covers multiple cloud platforms, offering broader support skills. The choice depends on whether you prefer a specialized Azure role or a more versatile cloud support position.

More about Part Time Azure Support Engineer jobs
What cities are hiring for Part Time Azure Support Engineer jobs? Cities with the most Part Time Azure Support Engineer job openings:
What are the most commonly searched types of Azure Support Engineer jobs? The most popular types of Azure Support Engineer jobs are:
Infographic showing various Part Time Azure Support Engineer job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 91% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $82,930 per year, or $39.9 per hour.
DevOps Pipeline Engineer (Azure) - Remote

DevOps Pipeline Engineer (Azure) - Remote

micro1 AI

Chicago, IL • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

Posted 14 days ago


Job description

Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as an Azure DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.


Key Responsibilities:

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.

• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.

• Orchestrate and manage containerized applications with Kubernetes and Docker.

• Monitor system performance, automate operational tasks, and proactively resolve issues.

• Collaborate closely with development teams to streamline deployments and improve operational efficiency.

• Ensure robust system security, compliance, and reliable backup/recovery strategies.

• Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.


Required Skills and Qualifications:

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.

• Deep expertise in Azure DevOps tools and services.

• Advanced proficiency in Kubernetes and Docker for orchestration and container management.

• Excellent written and verbal communication skills, with a passion for clear, collaborative work.

• Experience designing and optimizing CI/CD pipelines.

• Solid understanding of infrastructure automation, monitoring, and troubleshooting.

• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.


Preferred Qualifications:

• Familiarity with additional cloud platforms such as GCP and AWS.

• Experience supporting large-scale, distributed systems.

• Relevant Azure or Kubernetes certifications are a plus.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.