DevOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior DevOps Engineer on a W2 contract, 100% remote, requiring 9+ years of experience. Key skills include Docker, Kubernetes, CI/CD, IaC, and GPU-based environments for AI/ML workloads.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
September 26, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#GitLab #Deployment #Security #GCP (Google Cloud Platform) #DevOps #AWS (Amazon Web Services) #Compliance #ML (Machine Learning) #Kubernetes #Jenkins #Ansible #Cloud #Azure #Docker #Linux #Infrastructure as Code (IaC) #Scala #Terraform #AI (Artificial Intelligence) #GitHub
Role description
Job Title: Senior DevOps Engineer Experience Required: 9+ Years Location: 100% Remote. Employment Type: Contract W2. Job Summary We are seeking a highly experienced Senior DevOps Engineer with strong expertise in Containerization (Docker, Kubernetes), Infrastructure as Code (IaC), CI/CD pipelines, Large Language Models (LLM), and GPU-powered environments. The ideal candidate will be responsible for designing, automating, and scaling cloud-native infrastructure to support cutting-edge AI/ML workloads and enterprise applications. Key Responsibilities β€’ Design, implement, and maintain CI/CD pipelines for scalable, reliable, and secure deployments. β€’ Manage and optimize containerized environments using Docker and Kubernetes. β€’ Architect and automate infrastructure using Infrastructure as Code (Terraform, Ansible, etc.). β€’ Work on GPU-based infrastructure to support AI/ML workloads and LLM deployment. β€’ Monitor system performance, reliability, and availability across environments. β€’ Implement security, compliance, and governance best practices for cloud-native systems. β€’ Troubleshoot production issues and drive root cause analysis with cross-functional teams. Required Skills & Qualifications β€’ 9 years of experience in DevOps, Cloud, and Infrastructure Engineering. β€’ Strong experience with Docker, Kubernetes, Helm and container orchestration at scale. β€’ Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, etc.). β€’ Hands-on experience with IaC tools (Terraform, Ansible, Pulumi, or CloudFormation). β€’ Deep knowledge of Linux systems, networking, and cloud platforms (AWS, GCP, or Azure). β€’ Experience with GPU-based workloads and scaling infrastructure for LLM/AI/ML applications. β€’ Excellent communication and collaboration skills.