Linux Admin

TechDigital Group; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

A cloud infrastructure company in the United States is seeking a Cloud Infrastructure Engineer to manage and optimize scalable and secure cloud environments, particularly focusing on GPU workloads. The ideal candidate has over three years of experience in DevOps or site reliability engineering, with a strong background in Linux administration and knowledge of high-speed networking technologies. This role presents an opportunity to work in a dynamic environment supporting cutting-edge AI applications.

Qualifications

• 3+ years of experience in DevOps, SRE, or cloud infrastructure management.
• Strong knowledge of Linux system administration.
• Experience with high-performance networking technologies.

Responsibilities

• Provision and maintain scalable cloud infrastructure for AI workloads.
• Administer and optimize Linux-based servers for GPU compute.
• Implement network security measures in GPU environments.

Skills

DevOps

Linux Administration

High-Speed Networking

GPU Comprehension

Cloud Platforms (AWS/Azure/GCP)

Networking & Security Knowledge

Job description

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).