Resident Engineer – Cloud Infrastructure & AI (m/f/d)
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Key skills for this role
Role Overview
The client is hiring a Resident Engineer - Cloud Infrastructure & AI in Dubai.
This is a hands-on architecture and engineering role working with customers, technology partners, and internal engineering teams.
The role covers design, integration, optimization, and support of cloud infrastructure platforms, AI/GPU infrastructure, networking, storage, and automation.
Key Skills for This Role
Full Job Posting
Role Overview
The client is hiring a Resident Engineer - Cloud Infrastructure & AI in Dubai.
This is a hands-on architecture and engineering role working with customers, technology partners, and internal engineering teams.
The role covers design, integration, optimization, and support of cloud infrastructure platforms, AI/GPU infrastructure, networking, storage, and automation.
Cloud Infrastructure Architecture and Design
- Design end-to-end cloud infrastructure solutions covering compute, storage, networking, virtualization, containerization, and orchestration.
- Analyze existing infrastructure and recommend architecture improvements, modernization initiatives, and capacity expansion strategies.
- Develop HLDs, LLDs, architecture diagrams, BoQs, and technical specifications.
- Ensure designs meet scalability, availability, performance, and security requirements.
OpenStack and OpenShift Platforms
- Design, deploy, integrate, and troubleshoot OpenStack private cloud environments.
- Support KVM, Ceph, OpenStack services, and network virtualization platforms.
- Design and implement enterprise OpenShift container platforms and support cluster compute, networking, storage, and control-plane components.
- Manage OpenShift upgrades, expansion, troubleshooting, optimization, and integrations with monitoring, security, storage, and identity solutions.
Networking, Storage, and AI Infrastructure
- Design and validate data center networking architectures supporting cloud environments.
- Support Leaf-Spine, VXLAN, EVPN, BGP, MLAG, routing, and switching technologies.
- Design storage solutions for virtualization, containerized workloads, and AI platforms.
- Support AI and GPU infrastructure requirements, including NVIDIA technologies and high-performance computing environments.
Automation and Operations
- Design and integrate cloud orchestration and automation solutions.
- Support automation using Ansible, Terraform, Kubernetes Operators, APIs, and infrastructure-as-code methodologies.
- Troubleshoot complex issues across cloud, networking, storage, and virtualization layers.
- Work with customer stakeholders to deliver and continuously optimize cloud environments.
Qualifications
- At least 10 years of experience in cloud infrastructure, data center, or enterprise infrastructure engineering environments.
- Strong hands-on experience with OpenStack architecture, deployment, and administration.
- Strong experience with Red Hat OpenShift and Kubernetes platforms.
- Deep understanding of server, storage, virtualization, cloud infrastructure, networking, and network virtualization.
- Experience designing and troubleshooting large-scale private cloud environments.
- Proven experience creating HLDs, LLDs, architecture documentation, and technical proposals.
- Strong understanding of high availability, disaster recovery, scalability, and capacity planning.
- Excellent communication skills and ability to engage with customer stakeholders.
- Experience with AI/GPU infrastructure, Ceph, automation tools, or enterprise storage technologies is advantageous.
- Relevant certifications in Red Hat, OpenShift, Kubernetes, OpenStack, cloud, or infrastructure technologies are highly desirable.
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