Sr Lead Infrastructure Engineer - HyperV and VMware Virtualization

Job summary

Lead the design and operation of enterprise-scale virtualization platforms across global data centers, supporting tens of thousands of workloads with resilient compute and storage services. Architect Microsoft Hyper-V and Broadcom VMware VCF clusters, automate platform operations, assess performance across infrastructure layers, and improve security and reliability through disciplined engineering practices and validated use of enterprise-authorized AI.

Qualifications

• Formal infrastructure training or certification and substantial hands-on experience in enterprise-scale environments.
• Expertise in Microsoft Hyper-V and/or VMware VCF in large-scale production environments.
• Proficiency with scripting and configuration tools such as Python, PowerShell, vRO, DSC, SCCM, Ansible, or Salt.
• Experience assessing performance across compute, storage, networking, and hypervisor layers.
• Ability to optimize virtualized storage performance, including throughput, latency, IOPS, and queuing.
• Experience planning production changes with disciplined risk management, including zero-downtime upgrades.
• Experience building or operating CI/CD pipelines and automated tests for infrastructure automation.
• Experience using and validating enterprise-authorized AI capabilities with awareness of data sensitivity.
• Ability to review AI-assisted recommendations, escalate uncertainty, and ensure outcomes meet resiliency, security, and auditability expectations.
• Knowledge of server hardware, including Intel Xeon, AMD EPYC, NVMe, or GPUs.
• Experience with virtual networking concepts such as VLANs, SDN, teaming/SET, and load balancing.
• Experience with Microsoft and Broadcom management tooling in large environments.
• Familiarity with vulnerability remediation workflows and baseline enforcement.

Responsibilities

• Architect virtualization clusters across global pools, including software-defined compute and storage.
• Automate provisioning, configuration, patching, compliance enforcement, and decommissioning.
• Benchmark compute and storage performance to validate changes and inform capacity decisions.
• Troubleshoot issues across compute, storage, networking, clustering, and hypervisor layers.
• Evaluate server bills of materials and provide performance-focused feedback on hardware characteristics.
• Partner with security teams to remediate vulnerabilities and enforce platform baselines.
• Document reference architectures, decision records, and operational runbooks.
• Mentor engineers through design reviews, code reviews, and technical guidance.
• Use authorized AI capabilities to analyze infrastructure signals and document mitigation options, validating outputs and protecting sensitive operational data.
• Promote reusable AI-assisted practices while ensuring changes are validated, traceable, auditable, resilient, and secure.

Skills

Industry

Relocation