Cloud DevOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud DevOps Engineer, a 6+ month contract position with remote work. Requires a Bachelor’s degree and 8+ years in cloud infrastructure, expertise in Terraform, Ansible, Kubernetes, GitLab CI, and cloud platforms (AWS, Azure, GCP).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
880
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🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#DevOps #Ansible #Terraform #Cloud #Computer Science #Deployment #Azure #Automation #Linux #Kubernetes #GitLab #Storage #IAM (Identity and Access Management) #Python #AWS (Amazon Web Services) #GCP (Google Cloud Platform)
Role description
Job Title: Cloud Infrastructure DevOps Engineer
Location: Remote Work
Type: 6+ Month and Contract to Hire
Rate: $Open
MINIMUM QUALIFICATIONS:
• Bachelor’s degree in computer science, Engineering, or equivalent
• 8+ years of experience in cloud infrastructure, DevOps, or related engineering roles.
• Deep hands-on expertise with Terraform, Ansible, Kubernetes, GitLab CI, and ArgoCD in production environments.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their core services (compute, storage, networking, IAM, serverless functions).
• Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices.
• Proficient in Linux system administration and infrastructure automation using Python.
Job Title: Cloud Infrastructure DevOps Engineer
Location: Remote Work
Type: 6+ Month and Contract to Hire
Rate: $Open
MINIMUM QUALIFICATIONS:
• Bachelor’s degree in computer science, Engineering, or equivalent
• 8+ years of experience in cloud infrastructure, DevOps, or related engineering roles.
• Deep hands-on expertise with Terraform, Ansible, Kubernetes, GitLab CI, and ArgoCD in production environments.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and their core services (compute, storage, networking, IAM, serverless functions).
• Experience developing and maintaining CI/CD pipelines and automating deployments using GitOps practices.
• Proficient in Linux system administration and infrastructure automation using Python.
