Senior Infrastructure / HPC

Senior HPC / Infrastructure Engineer

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• **RHCE – Red Hat Certified Engineer (Active)**
• **CKA – Certified Kubernetes Administrator (Active)**

• NVIDIA AI Blueprints

• CUDA, GPU Drivers, and Performance Optimization

• CI/CD Pipeline Design & Implementation

• Infrastructure Automation

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• Design, deploy, and operate large-scale HPC and AI infrastructure environments from bare metal through workload orchestration.
• Architect and manage NVIDIA GPU platforms, including BCM, AI Enterprise, GPU Operator, and AI service enablement.
• Configure, optimize, and maintain Slurm scheduling environments for high-throughput and GPU-intensive workloads.
• Design and operate highly available Kubernetes clusters supporting AI/ML, analytics, and containerized workloads.
• Enable and support NVIDIA NIM services and AI Blueprint deployments for enterprise AI initiatives.
• Administer and optimize RHEL and Ubuntu environments, ensuring stability, security, and performance.
• Develop and maintain infrastructure automation frameworks and CI/CD pipelines for platform and application deployment.
• Optimize performance across compute, GPU, storage, networking, and cluster resources.
• Implement monitoring, observability, alerting, capacity planning, and operational best practices.
• Enforce security, patch management, access controls, and compliance standards across the infrastructure stack.
• Lead troubleshooting, root cause analysis, and resolution of complex infrastructure and platform issues.

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• 10+ years of hands-on experience in HPC, Linux infrastructure, and enterprise platform engineering.
• Proven track record of building and operating production-scale HPC, GPU, or AI infrastructure environments.
• Deep expertise in Kubernetes, Slurm, Linux administration, and NVIDIA AI technologies.
• Strong understanding of distributed systems, workload scheduling, cluster management, and performance optimization.
• Experience supporting AI/ML, data science, and high-performance computing workloads at scale.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work across infrastructure, platform, automation, and AI enablement domains.
• Demonstrated ownership mindset with a history of delivering reliable, scalable, and high-performing solutions.