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DevOps Engineer

Reflections Info SystemsDoha, QAT3 days agoMid-Senior
Mid-Seniorcontract

Skills

CI/CDAutomationCloud Computing (AWS

About This Role

Responsibilities

  • ·Lead deployment and configuration of on-prem Linux-based platforms for AI workloads.
  • Design and configure KVM virtualization
  • Architect and implement GPU-enabled environments for production LLM inference.
  • Deploy and operate containerized LLM serving stacks in production.
  • Design and validate GPU utilization, isolation, and health monitoring.
  • Integrate deployments with CI/CD pipelines and security controls.
  • Apply security hardening, RBAC, encryption, and audit-ready configurations.
  • Design HA and DR strategies and prepare systems for future scale-out.
  • Lead troubleshooting, performance tuning, and stabilization.
  • Produce architecture documentation, runbooks, and handover materials.

Primary Skills

  • 5+ years of experience in DevOps, Platform Engineering, or Infrastructure Engineering roles.
  • Strong Linux system administration skills, including networking, storage, performance tuning, and security hardening.
  • Hands-on experience deploying and operating LLMs in production on on-premises environments.
  • Proven experience managing GPU infrastructure using NVIDIA GPUs (H100, A100, H200 or equivalent).
  • Hands-on experience installing, configuring, and troubleshooting CUDA drivers and GPU runtimes.
  • Experience with containerized workloads using Docker or OCI-compliant runtimes.
  • Hands-on experience with LLM serving frameworks such as vLLM, TensorRT-LLM, or Triton Inference Server.
  • Experience designing and supporting GPU utilization, isolation, and performance monitoring.
  • Strong hands-on experience with KVM virtualization in production.
  • Experience working with modern AI application stacks, including backend APIs, PostgreSQL, vector databases (e.g., Qdrant), and observability tools.
  • Strong experience using Infrastructure as Code and automation tools, including Ansible.
  • Hands-on experience designing and operating CI/CD pipelines in enterprise environments.
  • Hands-on experience with Kubernetes on-premises setup.
  • Strong understanding and practical implementation experience of DevSecOps practices, including secure pipelines, SAST integration, secrets management, and least-privilege access.
  • Experience designing or supporting high availability and disaster recovery strategies, including backup, restore, and failover concepts.
  • Strong experience working in on-prem, air-gapped, or regulated environments

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