Cloud & AI/ML Infrastructure Architect (Hybrid Cloud)

GSS Group

Dubai

On-site

AED 350,000 - 550,000

Full time

4 days ago
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Job summary

GSS Group in Dubai, United Arab Emirates, is seeking Infrastructure Architects and Cloud Infrastructure professionals to design secure, resilient, scalable infrastructure across cloud, on‑premises, and hybrid environments.

The role focuses on building the infrastructure foundation for modern enterprise solutions, emphasizing cloud platforms, compute, storage, networking, IaC, high availability, DR, security, and data-intensive AI/ML workloads. Seniority levels welcome.

Qualifications

  • Experience designing enterprise-grade cloud infrastructure.
  • Strong knowledge of compute, storage, networking, and platform services.
  • Proven ability to lead architecture discussions and set standards.

Responsibilities

  • Design end-to-end infrastructure across cloud, on-premises, and hybrid environments.
  • Define architecture for compute, storage, networking, databases, and platform services.
  • Design for data-intensive and AI/ML workloads, including GPU compute and high-throughput storage.
  • Establish IaC standards and automation for repeatable deployments.
  • Ensure security, compliance, and data residency in designs.
  • Lead reviews and provide guidance to engineering and DevSecOps teams.
  • Drive modernization, cloud migration, and cost optimization initiatives.

Skills

Cloud architecture
Kubernetes
Terraform
Multi-cloud
Security architecture
IaC
AI/ML Infra

Education

Bachelor's degree in Computer Science or related

Tools

Docker
Azure DevOps

Job description

GSS Group in Dubai, United Arab Emirates, is seeking Infrastructure Architects and Cloud Infrastructure professionals to design secure, resilient, scalable infrastructure across cloud, on‑premises, and hybrid environments.

The role focuses on building the infrastructure foundation for modern enterprise solutions, emphasizing cloud platforms, compute, storage, networking, IaC, high availability, DR, security, and data-intensive AI/ML workloads. Seniority levels welcome.

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