Rassem Tamdji

About Rassem Tamdji

Site Reliability Engineer/Datacenter Architect/ Network Operation Center - 15 + of I.T. Experience and solid technical background AWS Cloud, PayPal Cloud System (PCS), Data Center Engineer and good communication skills. I have worked/consulted/contracted with the following companies:PayPal, Credit Suisse, JPMorgan, REUTERS, T-Mobile, Disney Company, Goldman Sachs, AIG and NYSE - My responsibilities are for ensuring maximum uptime in a 24/7 environment with a global footprint through multiple 3rd party vendors with a focus on operations, administration, communicating: issue resolution, network server maintenance, systems monitoring, and infrastructure availability via in-house ticketing systems. Build, Configure, monitor, manage, and maintain global Data Center Infrastructures and ensuring maximum uptime of multiple 3rd party providers. Specialties: Designing Dashboards for NOC monitoring | Config management: Ansible | Linux Administration | Cisco-WAN | Iaas | Professional RESUME available upon addition, I\'m also involved in technology and innovation, philanthropy and volunteerism, helping the world\'s poorest improve their lives, attempt in helping every child in a specific geographical area chosen by the organization to get decent education. The organization, Afridom.net also develops and install water pumps in small remote villages throughout Central Africa.

Experience

1. Solutions Architect Datacenter Technical Engineering

   NVIDIA

   Oct 2025 — Present

   As part of NVIDIA’s Datacenter Solutions Architecture team, I support large-scale infrastructure solutions that power AI, HPC, and enterprise workloads. My work focuses on translating customer requirements into optimized datacenter architectures that leverage NVIDIA’s advanced computing technologies.Key Responsibilities:Architect and implement end-to-end datacenter solutions, including compute, GPU acceleration, storage, and high-performance networking.Collaborate with customers, partners, and internal engineering teams to design and deploy scalable, energy-efficient infrastructure for AI and HPC applications.Provide technical leadership for solution design reviews, system integration, and deployment readiness — including power, cooling (air and liquid), and rack-level optimization.Deliver proof-of-concept implementations, reference architectures, and technical enablement for enterprise and cloud partners.Troubleshoot complex system-level issues, optimize performance, and ensure compliance with industry standards and best practices.Contribute feedback and insights to product and engineering teams to influence future datacenter technologies and reference designs.This role combines deep technical engineering with customer engagement, bridging infrastructure innovation and real-world deployment to advance NVIDIA’s leadership in AI and accelerated computing.

Education

• The City College of New York

  Computer Science

Skills

• Cloud Computing
• Data Center
• Telecommunications
• Linux