Cubestech Ltd
Senior Infrastructure Engineer — Hyper-V Virtualization & Infrastructure Engineering

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Hyper-V Fleet Engineer
Responsibilities
Maintain and Extend Workload Management Platform
- 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 Delivery
- Advocate 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 PowerShell 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 & Development
- Plan 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 FinOps implications when designing and implementing infrastructure changes.
Data Fluency
- Identify 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 (e.g., elbencho, VMFleet, diskspd) to validate hardware configurations and inform deployment decisions.
- Deliver against defined SLOs and SLAs; track and reduce events leading to errors or risks.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
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Cross-Functional
- Collaborate with hardware engineering on server platform evaluation, providing Hyper-V-specific performance requirements and validation feedback.
- Collaborate with vendor partners (Microsoft) on Hyper-V roadmap alignment, feature adoption, and escalation support.
- Collaborate effectively across infrastructure engineering, operations, security, and capacity planning teams.
- Leverage AI-assisted tooling for research, prototyping, and automation development to accelerate engineering cycles.
- Contribute to team and organizational goals.
- Champion the firm's culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
- 5+ years of hands-on experience in infrastructure engineering with demonstrated depth and breadth of knowledge across multiple domains (virtualization, storage, networking, Windows Server administration).
- Strong expertise in Microsoft Hyper-V at enterprise scale: failover clustering, live migration, storage spaces / S2D, virtual networking (Hyper-V virtual switch, SET), and Windows Server administration.
- Strong proficiency in PowerShell scripting for infrastructure automation, host configuration management, WMI-based inventory collection, and operational tooling.
- Demonstrated ability to audit performance of complex infrastructure architecture across the full stack and to maintain architecture artifacts (design documents, decision records, diagrams).
- Experience with storage performance analysis and optimization in virtualized environments — benchmarking, capacity planning, and storage policy design.
- Ability to evaluate hardware BOMs for Hyper-V suitability — assessing processor/memory ratios, storage I/O characteristics, network throughput, and overcommit profiles.
- Experience with infrastructure automation and configuration management tools (DSC, SCCM, Ansible, or equivalent) at data center scale.
- Experience advocating for and implementing infrastructure automation — CI/CD pipelines, operational process improvement, and configuration-as-code — with a focus on scalability versus resource use.
- Track record of providing stewardship to other engineers through technical guidance, design review, and documentation.
- Degree in Computer Science, Computer Engineering, Information Systems, or a related technical field.


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Preferred Qualifications, Capabilities, and Skills
- Experience with Windows Server Failover Clustering (WSFC) and Storage Spaces Direct (S2D) at enterprise scale.
- Experience with additional hypervisors (VMware ESXi, KVM, etc.) — production experience with dual-hypervisor environments are a plus.
- Familiarity with server hardware architecture (Intel Xeon, AMD EPYC, NVMe storage, GPU accelerators) sufficient to evaluate hardware proposals for Hyper-V workload suitability.
- Experience with network fabric integration in virtualized environments — VLAN, SDN, load balancing, and network adapter teaming.
- Working knowledge of C# /.NET for maintaining and extending infrastructure automation platforms.
- Experience with Microsoft System Center (VMM, SCOM, SCCM) at enterprise scale.
- Experience with security compliance remediation — Qualys vulnerability management, break management, and security baseline enforcement.
- Experience with performance testing frameworks (elbencho, VMFleet, diskspd, fio or similar) for storage and compute validation.
- Familiarity with using generative AI tools to accelerate engineering and research cycles.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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