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IT Search Corp logo
IT Search Corp

This is a remote position.

AI Infrastructure and Kubernetes Platform Architect Remote

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteMid LevelTeam 2-10

Location

United States

Posted

80 days ago

Salary

$95 - $130 / hour

Seniority

Mid Level

No structured requirement data.

Job Description

AI Infrastructure and Kubernetes Platform Architect Remote

IT Search Corp

AI Infrastructure and Kubernetes Platform Architect – DGX Systems Remote 6 months to 2 years USC or GC Must be articulate and speak clearly $95-$125+ p/h Job Description: We are seeking a highly skilled AI Infrastructure and Kubernetes Platform Architect with deep expertise in managing GPU-accelerated workloads on NVIDIA DGX systems. The ideal candidate will have hands-on experience with Kubernetes at the administrator, application developer, and security levels (CKA, CKAD, CKS), and will be responsible for designing, deploying, securing, and maintaining large-scale AI infrastructure powered by DGX BasePODs and SuperPODs. This role involves optimizing AI workloads, managing high-performance networking (InfiniBand), and ensuring operational excellence across NVIDIA AI systems and BlueField DPU environments. Key Responsibilities: Kubernetes and AI Platform Orchestration - Architect and maintain containerized AI/ML platforms using Kubernetes on DGX systems. - Integrate NVIDIA Base Command Manager with Kubernetes for workload scheduling and GPU resource optimization. - Design multi-tenant GPU resource partitioning strategies using MIG (Multi-Instance GPU) to maximize hardware utilization across concurrent AI workloads. - Implement and manage Helm charts, custom controllers, and GPU operators for scalable ML infrastructure. DGX Infrastructure Administration - Administer and optimize NVIDIA DGX BasePODs and SuperPODs. - Ensure optimal GPU, CPU, and storage performance across AI clusters. - Leverage DGX System Administration best practices for lifecycle management and updates. - Coordinate capacity planning for DGX cluster expansion including rack power, cooling, and storage integration with NVIDIA AI Enterprise software stack. High-Performance Networking & DPU - Deploy, monitor, and manage InfiniBand networks using Unified Fabric Manager (UFM). - Integrate BlueField DPUs for offloaded security, networking, and storage tasks. - Optimize end-to-end data pipelines from storage to GPUs. Security and Compliance - Apply best practices from the CKS certification to harden Kubernetes clusters and AI workloads. - Implement secure service mesh and microsegmentation with BlueField DPU integration. - Conduct regular audits, vulnerability scanning, and security policy enforcement. Automation & Monitoring - Automate deployment pipelines and infrastructure provisioning with IaC tools (Terraform, Ansible). - Monitor performance metrics using GPU telemetry, Prometheus/Grafana, and NVIDIA DCGM. - Troubleshoot and resolve complex system issues across hardware and software layers. - Implement MLOps workflows integrating KubeFlow Pipelines, NVIDIA Triton Inference Server, and model registry tooling to support end-to-end model training and production deployment. Required Skills and Qualifications: - CKA, CKAD, CKS certifications – demonstrating full-stack Kubernetes expertise. - Proven experience with NVIDIA DGX systems and AI workload orchestration. - Hands-on expertise in InfiniBand networking, UFM, and BlueField DPU administration. - Strong scripting and automation skills in Python, Bash, YAML. - Familiarity with Base Command Manager, NVIDIA GPU Operator, and KubeFlow is a plus. - Ability to work across teams to support ML researchers, DevOps engineers, and infrastructure teams. This is a remote position.

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