Azure DevOps Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure DevOps Engineer in Reno, NV, with a contract length of "unknown" and a pay rate of "unknown." Candidates must have 7+ years of experience in Cloud Engineering, expertise in Terraform, and proficiency in CI/CD pipelines, Docker, and Kubernetes.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
June 4, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Reno, NV
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Azure #GCP (Google Cloud Platform) #GitHub #Jenkins #Prometheus #Monitoring #GitLab #Grafana #Deployment #Azure DevOps #Python #Cloud #Logging #Bash #Automation #Docker #Infrastructure as Code (IaC) #Scripting #Kubernetes #Terraform #DevOps #Observability
Role description
Role: Azure DevOps Engineer Location: Reno, NV (Onsite) Job Description We are seeking an experienced Azure DevOps Engineer to join our team in Reno, NV. The ideal candidate will have a strong background in cloud infrastructure, automation, and CI/CD pipelines, with hands-on experience in modern DevOps tools and practices. Key Responsibilities β€’ Design, implement, and maintain Infrastructure as Code (IaC) using Terraform. β€’ Build and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI/CD. β€’ Manage and support cloud infrastructure primarily on Azure, with exposure to AWS or GCP as a plus. β€’ Utilize containerization technologies such as Docker and Kubernetes for application packaging and deployment. β€’ Integrate and maintain monitoring/logging tools like Prometheus and Grafana for infrastructure and application health. β€’ Develop automation scripts using Python, Bash, or PowerShell to streamline operations. β€’ Troubleshoot complex system and network issues, collaborating across teams to ensure system reliability and performance. Required Qualifications β€’ 7+ years of experience in Cloud Engineering, DevOps, or a related field. β€’ Proven hands-on expertise with Terraform and infrastructure automation. β€’ Experience with at least one major cloud provider (Azure preferred, AWS or GCP acceptable). β€’ Strong knowledge of CI/CD pipelines and associated tools. β€’ Practical experience with Docker and Kubernetes in a production environment. β€’ Solid understanding of monitoring and observability best practices. β€’ Excellent scripting skills in Python, Bash, or PowerShell. β€’ Strong analytical thinking and excellent verbal/written communication skills.