Lead virtualization initiatives including hypervisor refreshes, VM migrations, and private cloud management across datacenters. Oversee hosted Kubernetes, automation, capacity and performance engineering for HCI/3-tier/cloud, implement FinOps/reporting, maintain security baselines, mentor junior engineers, and coordinate stakeholders to deliver scalable, secure virtualization services.
The Senior Systems Engineer will play a pivotal role in our organization, leading virtualization projects and ensuring optimal performance and scalability of our systems. This role involves managing private cloud virtual estates, executing hypervisor refresh projects, and providing strategic input to enhance our infrastructure. The ideal candidate will have a strong background in enterprise systems engineering, with hands-on experience in virtualization technologies and a passion for continuous improvement.
Responsibilities
- Execute large-scale hypervisor refresh projects, including architecture, design, cluster builds, and VM migrations.
- Manage private cloud virtual estates across multiple datacenters, with a focus on scaling to public cloud providers.
- Oversee hosted Kubernetes solutions and virtualization-native automation for self-service.
- Perform capacity management and performance engineering for HCI, 3-tier, and cloud deployments.
- Adopt a customer-centric approach to product management for the virtualization offering.
- Implement FinOps and reporting for the virtualization platform.
- Configure hypervisors to maintain security baselines and automate processes.
- Train and mentor junior engineers, fostering a culture of knowledge sharing.
- Liaise with internal and external stakeholders to ensure smooth project execution.
- 5+ years of experience in enterprise systems engineering, with deep virtualization expertise (Nutanix, VMware, Hyper-V) in large-scale environments.
- Proven track record in planning and executing large hypervisor migrations, with experience in environments exceeding 100 hosts/1000 VMs.
- Strong grasp of VM capacity and performance analysis, including right-sizing memory and CPU allocations.
- Experience with private cloud solutions from Nutanix or VMware, and HCI deployments.
- Proficiency in PowerShell/scripting for reporting and automation tasks.
- Ability to operate in a regulated environment with formal change management processes.
- Excellent communication skills and the ability to work independently on complex technical problems.
- Enthusiasm for AI tooling and automation, with a focus on improving operational efficiency.
- Experience with Kubernetes on hypervisors and expanding virtualization to public cloud is desirable.
- Familiarity with charge-back/show-back for virtual offerings and micro-segmentation technologies is a plus.
Compensation Expectations: $205,000 - $230,000 Base Salary
#LI-JM3
Cantor Fitzgerald New York, New York, USA Office
499 Park Avenue, New York, NY, United States, 10022
Similar Jobs
Artificial Intelligence • Fintech • Payments • Social Impact • Analytics • Financial Services • Automation
Own and build January’s foundational data systems, including end-to-end pipelines, data quality standards, legacy migrations, recovery processes, and documentation. Partner with engineers, analysts, operations, and product teams to establish trusted, scalable data infrastructure. Prioritize high-impact improvements, manage stakeholder needs, define ownership boundaries, and use AI to create increasingly self-healing systems.
Top Skills:
AIData PipelinesData Platforms
Artificial Intelligence • Cloud • Information Technology • Consulting
Provides technical presales consulting for advanced networking and security solutions. Partners with sales teams, customers, and industry partners to design architectures, proposals, bills of materials, and implementation specifications. Delivers technical presentations, demonstrations, proofs of concept, training, and executive-level engagements. Advises on WAN, data center, cloud, routing, switching, automation, and cybersecurity technologies while maintaining strong customer relationships and competitive product knowledge.
Top Skills:
AnsibleAWSChefClos ArchitectureCloud NetworkingData Center NetworkingDdos ProtectionEgpEvpnGoogle Cloud PlatformHpe Aruba NetworkingIgpIpsIpsecJSONJuniperLayer 2 VpnLayer 3 VpnLdpMacsecAzureMplsNetconfNetwork SecurityNgfwPuppetPythonRoutingRsvpSegment Routing Traffic EngineeringSIEMSrv6SwitchingUtmVxlanWanYang
Aerospace
Lead systems engineering for radar, direction-finding, and surveillance sensor products across development, integration, testing, deployment, and maintenance. Responsibilities include designing algorithms and analysis tools, supporting hardware system architecture, planning and conducting sensor validation tests, providing field support, and producing data-driven test reports and recommendations. The role also involves customer integration and adoption activities and requires collaboration across disciplines.
Top Skills:
Cots DevicesCustom HardwareDigital Signal ProcessingMatlabPythonRadarSensor Performance ModelingSimulationSoftware-Defined Radios
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory



