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Part Time Remote Aws Cloud Engineer information

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How much do part time remote aws cloud engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for part time remote aws cloud engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

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

AspectPart Time Remote Aws Cloud EngineerPart Time Remote Cloud Support Specialist
Required CredentialsAWS certifications (e.g., AWS Certified Solutions Architect)Basic cloud platform knowledge, possibly AWS certifications
Work EnvironmentDesigning, deploying, and managing cloud infrastructure on AWSProviding technical support and troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSIT support firms, cloud service providers, companies with cloud infrastructure

While both roles involve cloud technology, the Part Time Remote Aws Cloud Engineer focuses on building and managing AWS infrastructure, whereas the Part Time Remote Cloud Support Specialist primarily handles troubleshooting and support tasks. The engineer role requires more technical certifications and design work, while the support role emphasizes problem-solving and customer service.

What cities are hiring for Part Time Remote Aws Cloud Engineer jobs? Cities with the most Part Time Remote Aws Cloud Engineer job openings:
What are the most commonly searched types of Remote Aws Cloud Engineer jobs? The most popular types of Remote Aws Cloud Engineer jobs are:
What states have the most Part Time Remote Aws Cloud Engineer jobs? States with the most job openings for Part Time Remote Aws Cloud Engineer jobs include:
Part Time Remote Aws Cloud Engineer jobs near you
Infographic showing various Part Time Remote Aws Cloud Engineer job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
Cloud Infrastructure Engineer - AI Reviewer - Remote

Cloud Infrastructure Engineer - AI Reviewer - Remote

micro1 AI

Phoenix, AZ • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

Posted 13 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.

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