Back
Tier-1 employer, metro location, and senior hybrid cloud role increase competition, but specialized skills narrow pool.
Highly domain-specific infrastructure, HPC and GPU expertise reduces cross-industry transferability.
Explicit 8+ years requirement plus deep Kubernetes, HPC, GPU and infrastructure skills make filters strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Own design and delivery of Kubernetes and HPC infrastructure solutions integrating GPU-accelerated AI/ML workloads in hybrid/private cloud environments.
Architect and implement HPC clusters including compute nodes, storage, and high-speed networking, ensuring alignment with customer enterprise architecture needs.
Lead infrastructure project delivery focusing on AI/ML platforms and HPC workloads, collaborating cross-functionally to meet business goals.
Minimum 8+ years professional experience with a Bachelor’s degree in computer science or related field, or 11+ years without a degree.
Proficiency in Kubernetes platforms such as Red Hat OpenShift and SUSE Rancher, including GPU workload integration (NVIDIA GPU Operator/DCGM).
Experience architecting HPC clusters with relevant storage (Lustre/WEKA) and networking (InfiniBand, Mellanox) technologies.
Strong Linux system administration skills (RHEL/SLES/Ubuntu) and virtualization experience (KVM/OpenShift Virtualization).
Experienced in designing complex infrastructure solutions combining HPC, AI/ML workloads, and GPU acceleration in enterprise or hybrid cloud settings.
Capable of leading teams delivering multiple technical projects with innovation and cross-technology coordination.
Technical depth in compute, storage, networking, and hybrid cloud integration with strong understanding of customer IT architectural dependencies.