Drimva

JPMorgan Chase

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

$162K–$210K

Jersey City, NJ +4 · Senior · Full-time · Posted Oct 2, 2026

Location
Jersey City, NJ
Plano, TX
Houston, TX
Seattle, WA
San Francisco, CA
Experience
5+ years of relevant hands-on experience.
Education
Formal training or certification in infrastructure disciplines.

About the job

Engineers and operates enterprise-scale Hyper-V infrastructure across global data centers, building resilient virtualization services and automation for large workloads.

What you'll do

  • Design Hyper-V clusters and automate provisioning, configuration, patching, compliance, and decommissioning.
  • Develop workload-management and orchestration capabilities, benchmark platform performance, and troubleshoot infrastructure across its stack.
  • Harden and document the platform, apply validated AI-assisted practices, and mentor engineers.

What they ask for

  • Formal training or certification in infrastructure disciplines, plus 5+ years of relevant hands-on experience in enterprise or large-scale environments.
  • Deep Microsoft Hyper-V expertise at scale, including WSFC, live migration, S2D, and vSwitch/SET; strong PowerShell skills.
  • Experience with full-stack performance auditing, virtualized storage optimization, and data-center-scale automation/configuration tooling.
  • Production change and risk-management experience, working proficiency in C#/.NET or equivalent, CI/CD and automated testing experience, and demonstrated use and validation of enterprise-authorized AI capabilities.

Nice to have

  • Experience operating VMware ESXi and/or KVM alongside Hyper-V.
  • Experience with Microsoft System Center tooling, vulnerability remediation, or performance benchmarking tools.

Pay

USD 161,500.00-$210,000.00 base salary (Jersey City, NJ); USD 161,500.00-$210,000.00 base salary (Seattle, WA); USD 161,500.00-$210,000.00 base salary (San Francisco, CA)

Tools

Microsoft Hyper-V, WSFC, PowerShell, DSC, C#/.NET 8, SCCM, Ansible, VMware ESXi

AI focus

Uses enterprise-authorized AI to analyze infrastructure signals and document mitigation options, and adopts AI-assisted practices in delivery and automation. Requires validating recommendations and protecting sensitive data while maintaining resiliency, security, traceability, and auditability.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)