Urwah Admin

Dautom

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 Role: OpenShift Administrator, 6-9 yr experience.
 
 
 
 
 
 
 
 
 Permanent Role - Egypt
 
 
 
 
 
 
 
 JD: As OpenShift engineer, this person is required to estimate, plan, setup, monitor and troubleshoot OpenShift Environment. Work will span multiple environments such as development, staging and production. Work will also include evaluation of new technology and internalizing it.
 
 
 
 
 
 Skills:
 
 
 
 
 
 A Good understanding of OpenStack
 
 
 
 
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 Kubernetes/OpenShift (4.x) administration (Installation, Patching, migration, application on-boarding, SSL certificates deployment, configuring ingress controllers, integrating with load balancers, storage solutions, container registry, integrating with identity management tools, integrating with vaults, etc)
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 Work in Operations team during office hours and on call as required.
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 Linux/Unix Administration
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 Configuring/administering monitoring tools (Prometheus, Grafana, similar tools) on Kubernetes/OpenShift clusters.
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 Working experience with IBM Cloudpak for Integration(CP4I).
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 Logging Tools (EFK Stack, similar tools) administration.
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 Experience with OpenShift Data Foundation.
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 Understanding the DevOps Tools/process would be added advantage
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 Knowledge on CI/CD tools (Jenkins, Nexus, JFROG, Container Registry, SonarQube, etc.,).
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 Container Native Storage tools (NFS,S3,PortWorx,Ceph,etc) administration.
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 Good Knowledge/Understanding in Microservices.
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 Knowledge with Hypervisors and Kubernetes, docker would be added advantage
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 Maintaining lab environment to assess technical solutions and support SDN and NFV product POC testing
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 Shell Scripting and Software development experience, including API development (REST, XML, etc.)
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 Adhering to SLAs
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 ITIL Processes awareness and adhering to
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 Handling tickets / requests
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 Has worked on Redhat OpenShift Containerization.
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 Experience on Cluster Upgrade &amp; updates
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 Experience on RHEL Linux Operating system.
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 Knowledge on ODF and NFS file system and Nexus repository
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 building and managing Infra, storage and worker nodes.
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 POD management and resource scaling.
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 Knowledge on docker and Kubernetes
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 Knowledge on CP4I (cloud pak for integration) and ELK will be added benefit.
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</div>

System Administrator

<div>
 
 The AI Infrastructure Engineer is a platform specialist responsible for architecting, building, and operating high-performance AI infrastructure to support advanced AI workloads, including LLMs, GenAI, Computer Vision, and MLOps. This role will focus on managing GPU clusters (NVIDIA A100/H100), deploying and maintaining Red Hat OpenShift AI (RHODS), and ensuring secure, scalable, and cost-efficient AI platforms across SDD&rsquo;s Sovereign Cloud and hybrid/multi-cloud environments. The engineer will enable enterprise-grade AI adoption for 200+ government entities.
 
 
 
 
 
 Key Responsibilities &amp; Deliverables
 
 
 
 
 
 GPU &amp; AI Platform Architecture
 
 
 Design and implement GPU-based compute clusters. Define reference architectures for LLM hosting, Vector Databases, MLOps, and high-performance storage/networking.
 
 
 Fully operational GPU-based AI infrastructure. GPU Cluster Uptime and Performance Utilization. Reduction in Cost per Training/Inference Workload.
 
 
 GPU Cluster Operations
 
 
 Install, configure, and optimize core components: CUDA, cuDNN, NCCL, NVIDIA Drivers, and GPU Operators. Implement GPU partitioning, scheduling, and performance tuning for high-end GPUs (e.g., A100/H100).
 
 
 High-availability architecture for all AI workloads. Complete documentation and runbooks.
 
 
 OpenShift AI (RHODS) Management
 
 
 Deploy, configure, and maintain the Red Hat OpenShift AI (RHODS) platform for multi-tenant use. Manage the integration of NVIDIA GPU Operator for efficient GPU scheduling and support Data Scientists with Notebooks, Training, and Inference Endpoints.
 
 
 Production-ready OpenShift AI (RHODS) platform. AI Project Onboarding Speed.
 
 
 LLM &amp; Model Serving
 
 
 Build and manage infrastructure for hosting and serving open-source LLM frameworks (Llama, Falcon, Mistral) and supporting RAG pipelines, LoRA adapters, and Vector Databases (Milvus, pgvector).
 
 
 Multi-model LLM serving environment for entities. MLOps Pipeline Success Rate and Deployment Frequency.
 
 
 MLOps &amp; Automation
 
 
 Implement IaC (Terraform, Ansible) and GitOps for the automated lifecycle management of the AI platform (node onboarding, scaling, model rollout/rollback). Build robust MLOps pipelines for data prep, training, evaluation, and monitoring (using tools like MLflow/Kubeflow).
 
 
 Infrastructure automation via Terraform &amp; Ansible. Automation Coverage for AI Infrastructure.
 
 
 
 
 
 Required Qualifications &amp; Experience
 
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 Experience: 7&ndash;12 years in Cloud Infrastructure, DevOps, ML Infrastructure, or Platform Engineering.
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 Deep Hands-On Expertise:
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 GPU Systems (NVIDIA A100/H100), Linux, Containers, and Kubernetes.
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 OpenShift AI (RHODS) or equivalent Kubernetes GPU orchestration.
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 LLM Hosting (Llama, Mistral, Falcon, etc.) and supporting Vector Databases/RAG systems.
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 Strong Experience In: TensorFlow, PyTorch, Hugging Face, Distributed Training (DDP, Deep Speed), and ML Ops Stacks (ML flow, Kubeflow).
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 Essential Skills &amp; Competencies
 
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 Technical: Deep understanding of GPU compute, HPC architectures, and ML performance profiling. Strong skills in IaC (Terraform/Ansible), CI/CD, and OpenShift/Kubernetes operators.
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 Soft Skills: Strong troubleshooting, optimization, and performance engineering mindset. Excellent cross-functional collaboration and documentation skills.
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 Preferred Certifications
 
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 NVIDIA Deep Learning / AI Infrastructure Certification
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 Red Hat OpenShift AI specialization
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 Kubernetes CKA/CKAD
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 Azure AI or Oracle Cloud AI certifications
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 Terraform &amp; Ansible certifications
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</div>

AI Infrastructure Engineer

<div>
 
 Presales Consultant - Riyadh location
 
 
 Permanent role - Riyadh KSA (Transferrable Iqama)
 
 
 
 
 
 
 
 
 Educatio
 
 
 nBachelor&rsquo;s in Computer Science / IT / Engineering (Master&rsquo;s in Public Sector or Digital Transformation is a plus)
 
 
 .Key Skills &amp; Competencies (Common
 
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 )Proven presales experience in bid management and client-facing presentations/workshops
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 .Strong solutioning and analytical thinking; ability to translate business needs into technical solutions
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 .Experience with estimation/effort sizing and commercial inputs, with strong attention to quality and detail
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 .Strong communication and stakeholder management skills; ability to collaborate across presales, delivery, finance, and partners
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 .Excellent command of English; Arabic capability as per role requirements
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 .Certifications (nice to have): TOGAF, ITIL, PMP, AWS/Azure foundations
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 .Government/compliance exposure is strongly preferred
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 .
 
</div>

Presales Consultant

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System Administrator

AI Infrastructure Engineer

Presales Consultant