Senior infrastructure engineer to design, implement, and troubleshoot enterprise voice/unified communications and virtualization environments. Requires deep hands-on CUCM, VMware, and Citrix expertise, plus multi-system problem solving and infrastructure project delivery experience.
This is a remote position.
ITTConnect is seeking a Senior Infrastructure Engineer - Cisco CUCM expert to work remotely from anywhere in Brazil for a client in the US.
MUST BE fluent in English.
Requirements
- 8+ years of IT Infrastructure experience.
- MUST BE fluent in English.
- Deep, hands-on experience with Cisco Unified Communications Manager (CUCM) and enterprise voice/unified communications infrastructure.
- Deep experience with VMware vCenter and vSphere — including ESXi administration, vMotion, HA/DRS, distributed virtual switches, and VM lifecycle management.
- Deep experience with Citrix Virtual Apps and Desktops (CVAD) or Citrix DaaS — including Delivery Controllers, StoreFront, NetScaler/ADC, machine catalogs, and VDA troubleshooting.
- Strong experience troubleshooting complex multi-system infrastructure issues.
- Experience designing and implementing infrastructure solutions.
Preferred
- Experience working in a Managed Service Provider (MSP) environment with exposure to ITIL-based service deliverymodels.
- Experience delivering customer-facing IT infrastructure projects.
- Experience with enterprise storage platforms.
- Familiarity with identity platforms (Active Directory, Okta), firewalls (Palo Alto, Cisco FTD), and backup/disaster recovery solutions is a plus.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead a team building evaluation infrastructure and benchmarks for agentic and generative AI. Design automated tests, validate RAG and knowledge grounding, benchmark LLMs, optimize model selection, and translate evaluation results into product and risk recommendations while collaborating cross-functionally and growing an AI-native engineering team.
Top Skills:
AnthropicBleuCmdbsG-EvalGoogle (Llms)Hybrid SearchKnowledge GraphsLlm-As-A-JudgeNumpyOpenaiPandasPythonRetrieval-Augmented Generation (Rag)RougeSemantic Re-RankingSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Support the GVP of Product Delivery & Innovation as a strategic partner: provide data-driven decision support, lead ambiguous cross-functional initiatives, run operating cadence and governance (QBRs, planning, exec readouts), shape executive communications, act as proxy in stakeholder forums, and drive alignment and continuous improvement across PD&I and allied teams.
Top Skills:
AISaaSServicenow
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and scale ServiceNow's global brand identity and design systems. Manage and mentor a high-performing brand design team, drive integrated brand solutions across channels, influence cross-functional leaders, and ensure consistent, high-quality execution from strategy through delivery.
Top Skills:
Adobe Creative CloudFigmaMiro
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
