Operates and maintains enterprise virtualization platforms across multiple client environments. Responsibilities include VMware Cloud Foundation, NSX, ESXi, vCenter, vSAN, capacity planning, performance troubleshooting, lifecycle management, incident leadership, automation, migrations, root cause analysis, change management, documentation, and client communication. The role also supports KVM and Hyper-V environments, leads virtualization projects, and mentors junior engineers.
This is a remote position.
ITTConnect is seeking an Senior Infrastructure Engineer expert in Virtualization / VMWare / VCF to work remotely for a client in the US.
Job location: Remote, work from home, anywhere in LATAM.
The Senior Infrastructure Engineer (Virtualization) is a hands-on engineering role in our Managed Services team. You will own the operation and health of the virtualization platforms running our clients' workloads: cluster and host lifecycle, capacity and performance tuning, NSX network and security policy administration, and acting as technical lead when a platform-level incident is live. You will work alongside storage, network, and service desk engineers, supported by a global network operations center that handles first-line monitoring and triage.
Our core platform is VMware Cloud Foundation 9 with NSX, and this is an administration and operations role rather than an installation role. If you have deep vSphere 8 experience but have not yet worked in VCF 9 or VVF 9, we will train and certify you on it. Experience operating KVM-based or Hyper-V environments is a plus as more clients run mixed estates.
Key Responsibilities:
- Operate NSX day to day, including segments, distributed firewall policy, gateways, load balancing, and troubleshooting east-west and north-south traffic.
- Manage ESXi host, vCenter, and vSAN lifecycle including patching, firmware alignment, certificate management, and capacity planning.
- Diagnose and resolve performance and availability problems across compute, storage, and the virtual network, and drive them to root cause.
- Serve as technical lead during platform-level incidents, coordinating with clients, internal teams, and Broadcom or hardware vendor support.
- Administer KVM-based or Hyper-V environments where clients run them, and support workload migrations between hypervisors.
- Automate recurring operations work using scripting and the vSphere and NSX APIs.
- Write formal root cause analyses, execute changes through structured change management, and maintain documentation of baselines, designs, and tuning decisions.
- Lead technical delivery of virtualization projects including upgrades, consolidations, and migrations.
- Give client stakeholders clear status reporting and practical capacity and best-practice guidance.
- Mentor junior engineers and work with storage, network, and service desk teams so the platform fits the wider environment rather than sitting beside it.
Requirements
- 12+ years in infrastructure engineering with at least 4 years administering enterprise VMware environments, in roles where you owned the platform rather than only consumed it.
- MUST BE fluent in English
- Hands-on administration of VMware Cloud Foundation 9 or vSphere Foundation 9 including NSX, or deep vSphere 8 administration (ESXi, vCenter, HA and DRS, vMotion, distributed switches, vSAN) with the aptitude to certify on VCF 9 in your first year.
- Working knowledge of NSX operation: overlay segments, distributed firewall, Tier-0 and Tier-1 gateways, and traffic troubleshooting.
- Strong Windows and Linux server administration as it relates to guest OS, drivers, and tools lifecycle.
- Solid understanding of the storage and networking layers beneath virtualization, including shared storage protocols, VLANs, MTU, routing, and multipathing.
- Automation ability using AI tooling, scripting (PowerCLI, Python, or an equivalent), and direct work against platform APIs.
- Experience writing formal root cause analyses and working inside a structured change management process.
- Clear client-facing communication and the ability to work independently across many client environments at once without losing track of any of them.
- Prior MSP or other multi-client experience, ideally supporting several customer environments at once.
- Associate's or bachelor's degree in information technology or a related field, or equivalent hands-on experience.
Preferred Qualifications:
- VMware certifications such as VCP-VCF Administrator, VCP-DCV, or VCP-NV, or a comparable virtualization certification.
- Hands-on experience administering a KVM-based platform or Microsoft Hyper-V with Failover Clustering.
- Experience with VMware Aria Operations or similar for capacity and performance management, and with hyper-converged hardware such as Dell VxRail or PowerFlex.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Architect and deploy production-grade autonomous AI agents for semiconductor manufacturing. Responsibilities include designing multi-agent systems, RAG and agent pipelines, evaluation and profiling frameworks, MCP/A2A integrations, security controls, and Kubernetes-based CI/CD deployments. The role requires optimizing inference workloads, transforming AI prototypes into scalable systems, collaborating with data teams and manufacturing experts, and mentoring engineers.
Top Skills:
A2AAgent-To-Agent ProtocolAgentic AiCi/CdCloud ComputingComputer VisionCrewaiDockerFunction CallingGenerative AiGoogle Agent Development KitKubernetesLangchainLanggraphLangsmithLarge Language ModelsMcpMicrosoft Agent FrameworkModel Context ProtocolOpentelemetryPrompt EngineeringPythonPyTorchPytorch ProfilerRagRustScikit-LearnSignal ProcessingTensorFlowTensorrt-LlmTypescriptVector SearchVllm
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Leads a team of 6–10 Solution Consultants supporting enterprise sales pursuits. Responsibilities include coaching, recruiting, performance management, technical sales strategy, proof-of-value execution, customer engagement, cross-functional collaboration, forecasting, QBRs, and revenue attainment. The role partners closely with Sales, Product, Engineering, Professional Services, Customer Success, and Marketing while driving team productivity and regional sales initiatives.
Top Skills:
Cloud TechnologyDigital Experience MonitoringItilSaaSService Management
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Supports DraftKings Predictions’ financial crimes compliance program by analyzing AML requirements and emerging risks, optimizing transaction monitoring controls, advising on compliant product features, conducting risk assessments, supporting audits and regulatory responses, and managing compliance escalations. The role partners with Compliance, Risk, Product, and Analytics teams to strengthen governance, quality assurance, and ongoing program improvements in prediction markets and regulated financial services.
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
