The VMware Support Engineer will provide level 3 support for VMware technologies, troubleshoot issues, enhance customer satisfaction, and manage critical situations while working in a global team environment.
Spinnaker Support provides global enterprise software support, managed services, and project-based consulting to many of the world’s most recognized and respected brands. Founded in 2008, our customer focus, business integrity, exacting standards, and depth of expertise have earned us the trust and loyalty of over 1,300 organizations located in 104 countries. Our dedicated international team works closely with every customer to ensure they receive exceptional, customized services that clear the way for their operational success. Today, Spinnaker Support is proud to be the industry’s highest-rated provider for third-party software support services for VMware, Oracle, SAP, JD Edwards and Microsoft.
We have an immediate need for an experienced VMware L3 Support Engineer:
- Occasional after hours, weekends and holidays support for urgent customer issues.
- Must have excellent customer focus and communication, friendly interaction and passion to help customers with their software issues.
- Ability to troubleshoot customer issues in an environment where online and remotely connected to the customer’s systems.
- Work as part of a global team ensuring effective collaboration to help resolve customer issues in a 24x7 follow the sun support model.
- Drive customer satisfaction by tracking issues from start to closure, minimizing aging cases.
- Provide when requested root cause analysis for technical issues.
- Assist with creating and maintaining relevant knowledge articles.
- Work with other internal stakeholders as needed to enhance the overall customer experience.
- Strong analytical and problem-solving skills
- Promote best practise and new methodologies
Role skill requirements:
- Minimum 5 years’ experience across VMware core technologies at a senior support level.
- Experience in handling critical customer situations.
- Knowledge of NSX-T Architecture: Understanding Managers, Controllers, Transport Nodes, Edge Nodes, TEPs.
- Understanding of Logical Switching & Routing: Segment creation and management, Tier-0 and Tier-1 gateway design
- Understanding of Distributed Firewall (DFW) and Gateway Firewall (GFW): Micro-segmentation, Rule creation and optimization and Grouping objects and policies
- Understanding of Edge Services: Load balancer configuration, NAT and VPN.
- Knowledge of VMware vSphere is mandatory. Hand-on experience on vCenter, ESXi, VM networking and vDS (vSphere Distributed Switch).
- Knowledge of Rest API, Curl and Postman is mandatory. Understanding of the HTTP response code, able to craft Rest API call (GET, POST, PUT and DELETE).
- Knowledge of Certificates is needed. Understand the concept of Self-signed, CA certificates.
- Proficiency on Linux/UNIX is mandatory. Able to navigate the directories and filing system, to use shell commands in a troubleshooting environment.
- Proficiency in Networking is mandatory. In-depth understanding of L3 networking protocols including switching technologies, routing fundamentals, IP subnetting and Address Management, fire walling, load balancers, Security trust zones, Management Networks, VPN and network design
- Proficiency in Packet Capture/Wireshark is mandatory. Able to navigate through the complexity of the network virtualization.
- Familiarity with systems management concepts, processes and standards (e. g. SNMP); capacity/performance management and tuning; and storage and network management.
- Certifications required: Linux: LPIC-1, LPIC-2. Networking: CCNA, CCNP is a plus, VMware: VCP, VCP-NV, VCAP-NV is a plus
We are committed to fair and equitable compensation practices. As such, compensation will ultimately be in line with the labor market data, and the location in which the position is filled. Final compensation for this role will be determined by various factors such as education, experience, knowledge, skills, and abilities of the candidate, and alignment with labor market data and geographic location.
US - Pay Transparency
$125,000—$135,000 USD
For California based applicants, see our CCPA policy here - Privacy Policy
Similar Jobs
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
Early-career AI Engineer building customer-facing generative AI and agentic solutions. Rapidly prototype and convert prototypes to production MVPs, implement LLM-based reasoning, RAG pipelines, and multi-agent orchestration. Run experiments and benchmarks, contribute to MLOps standards, model lifecycle, monitoring, security, and governance while collaborating with cross-functional teams and cloud-native AI stacks.
Top Skills:
Agentic AiAWSFine-TuningGenerative AiGCPGoogle Cloud Vertex AiLarge Language Models (Llms)Llm TrainingMlops/AimlopsModel Evaluation And MonitoringMulti-Agent OrchestrationPrompt EngineeringRetrieval-Augmented Generation (Rag)
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Lead and scale analyst relations strategy to drive analyst engagement and favorable placements. Build relationships with major analyst firms, prepare executive briefings, manage evaluations (e.g., Gartner, Forrester, IDC), turn analyst feedback into actionable messaging/product recommendations, enable sales with analyst insights, and measure program impact.
Top Skills:
AICold Chain TrackingFleet ManagementPredictive MaintenanceProject Management ToolsSaaSTelematicsTransportation Management
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning • Software
Design, own, and optimize Nexthink's end-to-end ramp and onboarding for all GTM roles. Build structured curricula, define time-to-productivity metrics, close learning-to-field gaps, and coordinate cross-functionally with Sales, CS, Product Marketing, and RevOps to ensure new hires reach and retain competency faster.
Top Skills:
CRMGongLms PlatformsSalesforceSeismic
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
