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    • Years of Experience 5+ Years.
    • Lead deployment and configuration of on-prem Linux-based platformsfor AI workloads.
    • Design and configure KVM virtualization.
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Job Post Details

DevOps Engineer - job post

Comspark International
Qatar

Job details

Job type

  • Contract

Location

Qatar

Full job description

Position DevOps Engineer
Duration 2 months
Location Qatar (Onsite)
Years of Experience 5+ Years
Notice Period Immediate

Responsibilities

  • Lead deployment and configuration of on-prem Linux-based platformsfor AI workloads.
  • Design and configure KVM virtualization
  • Architect and implement GPU-enabled environments for production LLM inference.
  • Deploy and operate containerized LLM serving stacksin 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.environments.equivalent).runtimes.Inference Server.vector databases (e.g., Qdrant), and observability tools.

  • Hands-on experience deploying and operating LLMs in production on on-premises
  • Proven experience managing GPU infrastructure using NVIDIA GPUs (H100, A100, H200 or
  • Hands-on experience installing, configuring, and troubleshooting CUDA drivers and GPU
  • Experience with containerized workloads using Docker or OCI-compliant runtimes.
  • Hands-on experience with LLM serving frameworks such as vLLM, TensorRT-LLM, or Triton
  • 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,
  • 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-premisessetup.
  • Strong understanding and practical implementation experience of DevSecOps practices,
  • including secure pipelines, SAST integration, secrets management, and least-privilege access.
  • Experience designing orsupporting high availability and disasterrecovery strategies, including

backup, restore, and failover concepts.

  • Strong experience working in on-prem, air-gapped, orregulated environments

Work Location: In person

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