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Part Time Remote Gcp Devops Engineer information

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How much do part time remote gcp devops engineer jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for part time remote gcp devops engineer in the United States is $60.53, according to ZipRecruiter salary data. Most workers in this role earn between $50.72 and $69.47 per hour, depending on experience, location, and employer.

What is the difference between Part Time Remote Gcp Devops Engineer vs Part Time Remote Cloud Infrastructure Engineer?

AspectPart Time Remote Gcp Devops EngineerPart Time Remote Cloud Infrastructure Engineer
Required CertificationsGCP certifications, DevOps toolsCloud platform certifications, infrastructure management
Work EnvironmentRemote, collaborative teams, cloud-focusedRemote, infrastructure setup, cloud services
Employer & Industry UsageTech companies, startups, cloud service providersIT firms, cloud service providers, enterprise IT
Common Search & ComparisonYesYes

The Part Time Remote Gcp Devops Engineer focuses on deploying, managing, and optimizing applications on Google Cloud Platform using DevOps practices. In contrast, the Part Time Remote Cloud Infrastructure Engineer handles broader cloud infrastructure setup and maintenance across various cloud services. Both roles are remote, require cloud certifications, and are sought after in tech and cloud industries, but they emphasize different aspects of cloud management.

What is a Part Time Remote GCP DevOps Engineer?

A Part Time Remote GCP DevOps Engineer is a technology professional who specializes in managing and automating cloud infrastructure on Google Cloud Platform (GCP) while working remotely and on a part-time basis. Their responsibilities typically include deploying, monitoring, and maintaining cloud-based applications and services, as well as implementing CI/CD pipelines and ensuring security and scalability. By working remotely, they use collaboration tools to communicate with their team and handle tasks flexibly. Part-time arrangements allow for reduced working hours compared to full-time roles, making this position ideal for those seeking work-life balance or additional projects.

What are the key skills and qualifications needed to thrive as a Part Time Remote GCP DevOps Engineer, and why are they important?

To thrive as a Part Time Remote GCP DevOps Engineer, you need strong knowledge of cloud infrastructure (especially Google Cloud Platform), CI/CD pipelines, automation scripting, and experience with infrastructure as code, typically supported by a degree in computer science or relevant certifications like Google Cloud Professional DevOps Engineer. Proficiency with tools such as Terraform, Kubernetes, Docker, Jenkins, and Google Cloud Console is typically required. Excellent problem-solving, communication, and self-motivation are crucial soft skills for collaborating across distributed teams and handling troubleshooting independently. These skills and qualities are essential for ensuring reliable, scalable deployments and maintaining efficient cloud operations in a remote work environment.

How do part-time remote GCP DevOps Engineers typically collaborate with distributed teams to ensure smooth deployment processes?

Part-time remote GCP DevOps Engineers often use collaboration tools like Slack, Jira, and Google Meet to stay connected with their teams. They participate in regular stand-ups, code reviews, and deployment planning sessions virtually. Clear documentation and proactive communication are essential to coordinate with developers, QA engineers, and project managers across different time zones. Despite working fewer hours, maintaining visibility and aligning with the team's deployment schedules help ensure reliability and efficiency in the CI/CD pipeline.
What are the most commonly searched types of Remote Gcp Devops Engineer jobs? The most popular types of Remote Gcp Devops Engineer jobs are:
Part Time Remote Gcp Devops Engineer jobs near you
Infographic showing various Part Time Remote Gcp Devops Engineer job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 2% Part Time, and 8% Contract. Highlights an 75% Physical, 8% Hybrid, and 17% Remote job distribution, with an average salary of $125,908 per year, or $60.5 per hour.
GCP Infrastructure Automation Engineer - Remote

GCP Infrastructure Automation Engineer - Remote

micro1 AI

Memphis, TN • Remote

$20 - $300/hr

Part-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

GCP DevOps Engineer


Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely with talented engineers and stakeholders to deliver scalable, reliable, and secure environments on Google Cloud Platform (GCP). We are seeking a proactive professional with a passion for infrastructure automation and a strong commitment to clear, effective communication.


Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions on GCP.

• Automate deployment, monitoring, and management processes using industry-leading DevOps practices.

• Administer and optimize Kubernetes clusters for maximum reliability and performance.

• Collaborate with development teams to streamline CI/CD pipelines and refine workflows.

• Ensure the security and compliance of cloud environments by applying best practices.

• Proactively identify and resolve infrastructure bottlenecks and incidents.

• Document solutions and processes with a focus on clarity and thoroughness to support team knowledge sharing.


Required Skills and Qualifications:

• Strong hands-on experience with Google Cloud Platform (GCP).

• Deep expertise in implementing and operating cloud infrastructure in production settings.

• Proficiency with Kubernetes administration and orchestration.

• Solid understanding of DevOps methodologies, tools, and best practices.

• Experience building and maintaining CI/CD pipelines.

• Competence with infrastructure-as-code tools (e.g., Terraform, Deployment Manager).

• Excellent written and verbal communication skills; ability to convey complex concepts clearly.


Preferred Qualifications:

• GCP certifications such as Associate Cloud Engineer or Professional DevOps Engineer.

• Experience with hybrid or multi-cloud environments.

• Familiarity with security best practices and compliance standards relevant to cloud-native architectures.


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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