We are seeking an experienced System Engineer with strong expertise in Wintel environments, Microsoft Azure, and Hyper-V virtualization. The ideal candidate will be responsible for designing, implementing, managing, and supporting Windows-based infrastructure both on-premises and in the cloud, ensuring high availability, performance, and security.
Key Responsibilities:
- Manage and maintain Windows Server infrastructure (2012/2016/2019/2022).
- Administer and support Hyper-V virtualization platforms, including clustering and live migration.
- Deploy, configure, and manage services and workloads in Microsoft Azure (IaaS, PaaS).
- Monitor system performance, troubleshoot issues, and perform root cause analysis.
- Implement and manage Active Directory, DNS, DHCP, Group Policy, and related core services.
- Ensure backup, recovery, and disaster recovery processes are in place and tested.
- Apply patches, updates, and security configurations to all Wintel systems.
- Collaborate with cross-functional teams on infrastructure projects and cloud migrations.
- Maintain documentation for systems architecture, configurations, and procedures.
- Participate in 24/7 on-call rotation and respond to incidents as needed.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or related field.
- 3–5+ years of hands-on experience in Wintel system administration.
- Strong experience with Microsoft Azure (VMs, networking, storage, monitoring).
- Solid knowledge of Hyper-V, including high availability and failover clustering.
- Expertise in Active Directory and Windows-based networking protocols.
- Familiarity with scripting (PowerShell) for automation and task simplification.
- Understanding of security best practices in hybrid cloud environments.
Preferred Qualifications:
- Microsoft certifications (e.g., AZ-104, AZ-900, MCSA, MCSE).
- Experience with Azure Site Recovery, Azure Backup, and Azure Monitor.
- Exposure to hybrid cloud setups or cloud migration projects.
- Knowledge of ITIL practices and change management processes