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Sr Lead Infrastructure Engineer - HyperV and VMware Virtualization
LondonSource: WhatJobs
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Overview
In this role, you design and operate enterprise-scale virtualization platforms spanning Microsoft Hyper-V and Broadcom VMware VCF across global data centers. You will partner with cross-functional teams to deliver resilient, high-performing virtualization services that support thousands of workloads. You lead design and automation decisions to boost reliability, performance, and operational excellence, while mentoring peers and codifying runbooks. The role offers visibility and impact in a modern, security-conscious environment that values automation and scalable practices.
Responsibilities
Architect virtualization cluster designs across global pools with software-defined compute and storage
Automate provisioning, configuration, patching, compliance enforcement, and decommissioning via scripting and APIs
Benchmark compute and storage performance to inform capacity decisions
Diagnose full-stack issues across compute, storage, networking, clustering, and hypervisor layers
Evaluate server BOMs with performance-focused feedback on CPU, memory, storage, and network
Harden environments with security partners to remediate vulnerabilities and enforce baselines
Document reference architectures, decision records, and runbooks to improve repeatability
Mentor engineers through design and code reviews to raise platform quality
Utilize enterprise AI capabilities to accelerate analysis and document mitigation options with proper data handling
Lead reuse-first adoption of AI-assisted practices to reduce recurring issues with validated changes
Key requirements
Formal training or certification in infrastructure disciplines with substantial hands-on experience
Expertise in Microsoft Hyper-V and/or VMware VCF in large-scale production environments
Automation and configuration management using Python, PowerShell, vRO, or equivalent
Full-stack performance assessment across compute, storage, networking, and hypervisor layers
Storage performance optimization in virtualized environments
Data-center-scale automation and configuration tooling (DSC, SCCM, Ansible, Salt, or equivalent)
Plan and deliver production changes with disciplined risk management including zero-downtime upgrades
Experience with CI/CD pipelines and automated testing for infra automation artifacts
Experience using AI capabilities to support workflows with validation and data-sensitivity awareness
Ability to review AI-assisted recommendations and ensure resiliency, security, and auditability
collaboration across engineering, operations, security, and capacity teams
mentorship and technical guidance
structured problem-solving and advisory communication
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