Linux Admin
TechDigital Group
Key Responsibilities Infrastructure Management: Provision, deploy, and maintain scalable, secure, and high‑availability cloud infrastructure on platforms such as Cloud to support AI workloads. System Management: Administer and maintain Linux‑based servers and clusters optimized for GPU compute workloads, ensuring high availability and performance. GPU Infrastructure: Configure, monitor, and troubleshoot GPU hardware (e.g., NVIDIA GPUs) and related software stacks (e.g., CUDA, cuDNN) for optimal performance in AI/ML and HPC applications. Troubleshooting: Diagnose and resolve hardware and software issues related to GPU compute nodes and performance issues in GPU clusters. High‑Speed Interconnects: Implement and manage high‑speed networking technologies like RDMA over Converged Ethernet (RoCE) to support low‑latency, high‑bandwidth communication for GPU workloads. CI/CD Pipelines: Build and optimize continuous integration and deployment (CI/CD) pipelines for testing GPU‑based servers and managing deployments using tools like GitHub Actions. Monitoring & Performance: Set up and maintain monitoring, logging, and alerting systems (e.g., Prometheus, Victoria Metrics, Grafana) to track system performance, GPU utilization, resource bottlenecks, and uptime of GPU resources. Security and Compliance: Implement network security measures, including firewalls, VLANs, VPNs, and intrusion detection systems, to protect the GPU compute environment and comply with standards like SOC 2 or ISO 27001. Required Qualifications Experience: 3+ years of experience in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure management, with at least 1 year working on GPU‑based computer environments in the cloud. Linux Administration: Strong knowledge of Linux system administration for managing network services and tools in a GPU compute environment. High‑Speed Interconnects: Experience with high‑performance networking technologies like RoCE or 100 GbE Ethernet in compute‑intensive environments. GPU‑Specific Networking: Proficiency with NVIDIA GPU networking technologies, such as Mellanox ConnectX adapters, and configuring Netplan to support their drivers and firmware. Cloud Platforms: Hands‑on experience with at least one major cloud provider (AWS, Azure, GCP). Networking & Security: Knowledge of networking concepts (VPC, subnets) and security best practices (IAM, encryption, firewall configurations). #J-18808-Ljbffr TechDigital Group
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