Labs System Engineer

  • Remote
  • Specialism : Engineer
  • Post Date: October 25, 2025
  • Expires In : 89 Days
  • Apply Before: January 23, 2026
  • Applications 0
  • Views 543
Job Overview

Our client is seeking a Labs System Engineer to support and expand our lab infrastructure. This role focuses on virtualization technologies, operating system management, and server deployment. The ideal candidate will have hands-on experience with VMware, Hyper-V, and related tools, and will play a key role in scaling lab capabilities to meet evolving technical and business needs. Responsibilities:

  • Design, deploy, and maintain virtual environments using VMware vSphere, Hyper-V, and other virtualization platforms
  • Install, configure, and manage various operating systems (Windows Server, Linux distributions) across lab environments
  • Automate server provisioning and configuration using tools like PowerShell, Ansible, or Terraform
  • Monitor lab infrastructure performance and ensure high availability and reliability
  • Collaborate with engineering and product teams to support testing, development, and validation efforts
  • Maintain documentation for lab configurations, procedures, and best practices
  • Evaluate and recommend new technologies to enhance lab capabilities
  • Ensure compliance with security and data protection standards within lab environments

Requirements

  • 3+ years of experience in virtualization and server deployment
  • Strong expertise in VMware vSphere, ESXi, and/or Microsoft Hyper-V
  • Solid understanding of Windows Server, Linux, and networking fundamentals
  • Experience with scripting and automation (PowerShell, Bash, Python)
  • Familiarity with CI/CD pipelines and integration with lab environments is a plus
  • Excellent troubleshooting and problem-solving skills
  • Strong communication and documentation abilities

Preferred Qualifications:

  • Certifications such as VMware VCP, Microsoft Certified: Azure Administrator, or CompTIA Server+
  • Experience with cloud platforms (Azure, AWS) in hybrid lab setups
  • Knowledge of containerization (Docker, Kubernetes) is a bonus

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