G42
Infrastructure Architect
- Permanent
- Abu Dhabi, United Arab Emirates
- Experience 10 - 15 yrs
Job expiry date: 11/01/2026
Job overview
Date posted
27/11/2025
Location
Abu Dhabi, United Arab Emirates
Salary
Undisclosed
Compensation
Comprehensive package + relocation
Experience
10 - 15 yrs
Seniority
Senior & Lead
Qualification
Bachelors degree
Expiration date
11/01/2026
Job description
Architects scalable, secure, and high-performance cloud and on-prem infrastructure to support Inceptionās advanced AI platforms, with deep ownership over networking, storage, automation, and infrastructure resilience for large-scale AI/ML environments.
Required skills
infrastructure architecture
cloud architecture (AWS, Azure, GCP)
AI/ML workload optimization
on-prem & hybrid infrastructure
network architecture
storage architecture
high availability design
disaster recovery planning
DevOps collaboration
Terraform
Ansible
CloudFormation
Infrastructure as Code
containerization
Docker
Kubernetes
security architecture
firewalls
VPNs
network protocols
distributed storage
HPC infrastructure
cost optimization
cloud governance
automation
performance tuning
Key responsibilities
- Design scalable, secure, and highly available infrastructure for AI platforms
- Architect cloud and on-prem environments optimized for AI/ML workloads
- Collaborate with engineering, DevOps, and product teams on infrastructure integration
- Develop high availability and disaster recovery strategies for mission-critical AI systems
- Design and implement advanced networking architectures
- Drive Infrastructure as Code adoption using Terraform, Ansible, and Kubernetes
- Optimize cloud usage for cost efficiency and performance
- Evaluate and integrate emerging technologies in cloud, storage, and networking
- Ensure infrastructure security, regulatory compliance, encryption, and access control
- Provide technical leadership and mentor infrastructure engineers
- Stay ahead of industry and AI infrastructure trends
Experience & skills
- Minimum 12 years in infrastructure architecture, cloud platforms, or systems engineering
- Hands-on experience building infrastructure for AI/ML workloads
- Expertise across AWS, Azure, and/or GCP
- Strong knowledge of cloud computing, networking, storage, and IaC tools
- Proficiency with Docker and Kubernetes
- Deep understanding of security protocols, firewalls, VPNs, and hybrid architectures
- Experience with distributed storage and HPC environments
- Strong background in DR, business continuity, and high-availability architectures
- Ability to collaborate across engineering, DevOps, and security teams
