AI Infrastructure Engineer
Dautom is seeking an AI Infrastructure Engineer to design and operate high-performance compute clusters for government AI workloads. You will be responsible for managing GPU hardware, maintaining the OpenShift AI platform, and deploying MLOps pipelines. Success requires deep expertise in Kubernetes, distributed training frameworks, and infrastructure-as-code automation. This role serves as a foundational platform engineer enabling enterprise-grade AI adoption across 200+ entities.
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Experience
7-12 years
Function
Engineering
Work mode
Onsite, United Arab Emirates
Company
Tier 2
What you will work on
Dautom is seeking an AI Infrastructure Engineer to design and operate high-performance compute clusters for government AI workloads. You will be responsible for managing GPU hardware, maintaining the OpenShift AI platform, and deploying MLOps pipelines. Success requires deep expertise in Kubernetes, distributed training frameworks, and infrastructure-as-code automation. This role serves as a foundational platform engineer enabling enterprise-grade AI adoption across 200+ entities.
TAL's take
Mid-tier firm with a well-defined infrastructure engineering role for government AI projects.
Very clear scope, specific hardware requirements, and defined operational goals for AI infrastructure.
Must haves
- 7-12 years experience in cloud or ML infrastructure
- Hands-on expertise with NVIDIA A100/H100 systems
- Deep knowledge of Kubernetes and Linux
- Proficiency with OpenShift AI (RHODS)
- Experience in LLM hosting and RAG pipelines
- Strong skills in Terraform and Ansible
Tools and skills
Nice to have: nvidia deep learning certification, red hat openshift ai certification, kubernetes cka/ckad, azure ai certification, oracle cloud ai certification, terraform certification, ansible certification.
About the company
Unfamiliar company, default mid-tier.