

DevOps Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
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ποΈ - Date discovered
September 26, 2025
π - Project duration
Unknown
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ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - 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.
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.