Infrastructure Architect

*** 100% Onsite in Jersey City - No remote or hybrid
*** Please make sure resume specifically talks to your Hyper V experience

Looking for an Infrastructure Engineer/Architect to design and engineer enterprise-scale Microsoft Hyper-V virtual infrastructure across global data centers. You will apply depth and breadth of knowledge across multiple domains hypervisor platforms, storage, networking, clustering, performance engineering, and security compliance to deploy, optimize, and maintain virtual infrastructure that supports tens of thousands of workloads across multiple regions.

This role sits within the Compute Engineering team, which owns the full lifecycle of virtual infrastructure: hypervisor deployment and upgrade, cluster operations, performance engineering, storage optimization, workload management, and compliance remediation. You will collaborate closely with hardware engineering evaluating hardware BOMs for performance characteristics specific to Hyper-V and providing technical feedback but your primary focus is the virtualization platform layer and above.

You will work across Windows Server and Hyper-V clustering, storage subsystems, and automation tooling maintaining and extending a custom .NET-based workload management platform as needed. You will provide stewardship to other engineers through technical guidance, peer review, and design documentation.

Experience with Hyper-V at enterprise scale is a strong differentiator.

Job Responsibilities Architecture & Systems DesignDesign and maintain Hyper-V cluster architectures including failover clustering, live migration, storage configuration, and network topology across global data center pools.
Evaluate hardware BOMs proposed by hardware engineering for Hyper-V performance characteristics processor/memory ratios, storage throughput, network bandwidth, and over commit suitability and provide technical feedback to inform procurement decisions.
Audit performance of complex virtual infrastructure across the full stack compute, storage, networking, and hypervisor layers and maintain architecture artifacts (high-level design documents, decision records, diagrams) using firmwide tooling.
Develop and document reference architectures and best practices for Hyper-V cluster deployment, storage configuration, and workload placement.

CodingCreate and maintain automation for virtual infrastructure lifecycle management provisioning, configuration, patching, compliance enforcement, and decommissioning of Hyper-V workloads using Power Shell, WMI, and the team's .NET-based workload management platform.
Write Power Shell scripts for host configuration management, inventory collection, cluster operations, and firmware deployment across the Hyper-V fleet.
Maintain and extend the existing C# / .NET 8 workload management platform as needed including the server-side orchestration API, distributed worker engine, and Windows client agent components.
Provide stewardship to other engineers in support of quality delivery peer reviewing automation scripts, infrastructure designs, and technical documentation.

Automation & Continuous DeliveryAdvocate for and implement infrastructure automation, identifying opportunities to automate, combine, or simplify operational processes with a focus on scalability versus resource use.
Develop and maintain automation for Hyper-V host configuration, cluster provisioning, rolling upgrades, and compliance enforcement using Power Shell DSC, scripts, and the team's workload management platform.
Support and evolve CI/CD pipelines for infrastructure automation tooling, including multi-environment deployment and automated testing.

Distributed Systems Design & DevelopmentPlan and execute Hyper-V cluster upgrades, Windows Server rolling upgrades, and hypervisor patch rollouts across production environments with zero or minimal downtime.
Troubleshoot production issues across the virtual infrastructure stack hypervisor, clustering, storage, and networking layers using structured logging, event tracing, performance counters, and vendor diagnostic tools.
Consider all risks, potential environmental impacts, and Fin Ops implications when designing and implementing infrastructure changes.

Data FluencyIdentify appropriate data sources and apply appropriate methodologies when making data-based recommendations for capacity planning, performance optimization, and hardware procurement decisions.
Conduct storage and compute performance benchmarking using industry and internal tooling…