Sr Lead Infrastructure Engineer - Hyper-V Virtualization & Infrastructure Engineering

Job Description

We're looking for a talented, senior engineering professional ready to take their career to new heights at one of the world's most influential companies.

As a Senior Lead Infrastructure Engineering at JPMorgan Chase within Enterprise Technology, Compute Platform Engineering team, you will engineer enterprise-scale Microsoft Hyper-V infrastructure across global data centers, partnering inclusively across engineering, operations, security, and capacity teams to deliver resilient, performant virtualization services that support tens of thousands of workloads.

Job Responsibilities

• Architect Hyper-V cluster designs across global pools, including WSFC, live migration, S2D, and vSwitch/SET topologies.
• Automate provisioning, configuration, patching, compliance enforcement, and decommissioning using PowerShell, DSC, and platform APIs.
• Develop and enhance a custom C#/.NET 8 workload management platform to scale operational workflows and orchestration.
• Benchmark compute and storage performance using industry-standard tooling to validate changes and guide capacity decisions.
• Diagnose full-stack issues across compute, storage, networking, clustering, and hypervisor layers using structured troubleshooting methods.
• Evaluate proposed server BOMs for Hyper-V suitability, providing performance-focused feedback on CPU, memory, storage, and network characteristics.
• Harden environments by partnering with security teams to remediate vulnerabilities and enforce platform baselines at scale.
• Document reference architectures, decision records, and operational runbooks to improve repeatability and auditability.
• Mentor engineers through design reviews, code reviews, and technical guidance that raises the bar for platform quality.
• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validat...

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