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
Fintech • Machine Learning • Payments • Software • Financial Services
Lead and deliver large-scale AI/ML programs and the next-generation Generative AI platform. Build and grow a world-class TPM discipline, manage cross-functional delivery, mitigate technical risk, and drive execution across product, engineering, design, and data science to achieve business impact in regulated environments.
Top Skills:
AgileAIAWSCloud ComputingData PlatformsDistributed ComputingDistributed SystemsGenerative AiLow-Latency SystemsMachine Learning
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Provide physician leadership for utilization management: conduct coverage reviews, render determinations, document findings, engage in peer-to-peer discussions, collaborate with providers and internal teams, participate in clinical rounds, and ensure cost-effective, evidence-based care for members.
Top Skills:
ExcelMs WordOutlook
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Perform quantitative and qualitative research and analysis to identify fraud, waste, and abuse in government health programs; support project teams with data review, ad hoc analyses, deliverable improvement, and client-ready presentations while managing multiple priorities and maintaining high accuracy.
Top Skills:
ExcelPowerPointSpssSQLStataWord
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
