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NVIDIA

Senior Solutions Architect – Cloud Infrastructure, DevOps

NVIDIA

. Advise on and help maintain large-scale computational and AI infrastructure .

Posted 4/20/2026full-timeRemote • 🇦🇪 United Arab EmiratesSeniorWebsite

Tech Stack

Tools & technologies
CloudGrafanaKubernetesLinuxPrometheusPython

About the role

Key responsibilities & impact
  • Advise on and help maintain large-scale computational and AI infrastructure
  • Provide consultative guidance and perform hands-on solving across the full stack
  • Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms
  • Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines
  • Support Research & Development activities and engage in POCs/POVs to validate new features
  • Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides
  • Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture

Requirements

What you’ll need
  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience)
  • 8+ years of professional experience in leading scalable cloud environments and automation engineering roles
  • Shown understanding of networking fundamentals, data center architectures, and hands-on experience leading HPC/AI clusters
  • Validated hands-on experience deploying, configuring, and optimizing NVIDIA GPU-accelerated infrastructure
  • Extensive experience with Kubernetes for container orchestration, resource scheduling, scaling, and integration with GPU-accelerated and HPC environments
  • Strong familiarity with HPC and AI technologies (CPUs, GPUs, high-speed interconnects) and supporting software stacks
  • Deep knowledge of Linux (RedHat, Ubuntu), OS-level security, and protocols
  • Proficiency in Python and Bash scripting, configuration management, and Infrastructure-as-Code tools
  • Experience with observability stacks (Grafana, Loki, Prometheus)
  • Strong background in crafting scalable solutions and providing consultative support to customers

Benefits

Comp & perks
  • Professional development opportunities
  • Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
KubernetesNVIDIA GPUHPCAILinuxPythonBash scriptingInfrastructure-as-Codeconfiguration managementobservability stacks
Soft Skills
consultative guidancetechnical leadershipstrategic guidancedocumentationcustomer supportproblem-solvingcommunicationcollaborationorganizationmentorship