Infrastructure Architect - Cloud, DevOps & AI/ML

GSS Group

Dubai

On-site

AED 350,000 - 550,000

Full time

3 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

We are looking for Infrastructure Architects and experienced Cloud Infrastructure professionals to design and support secure, resilient, scalable, high-performance, and cost-effective infrastructure acrosscloud, on-premises, and hybrid environments.

The role focuses on designing the infrastructure foundation for modern enterprise solutions, with particular emphasis oncloud platforms, compute, storage, networking, containerisation, Infrastructure-as-Code, high availability, disaster recovery, and data-intensive/AI/ML workloads.

Candidates with different levels of experience are encouraged to apply, from strong infrastructure/cloud engineers looking to move into architecture through to experienced Infrastructure Architects.

Key Responsibilities
  • Design end-to-end infrastructure architectures acrosscloud, on-premises, and hybrid environments.
  • Define architecture acrosscompute, storage, networking, databases, and platform servicesbased on business and technical requirements.
  • Design infrastructure requirements fordata-intensive and AI/ML workloads, including GPU compute, high-throughput storage, scalable processing, and inference environments.
  • Establish and maintain standards forInfrastructure-as-Code (IaC), environment management, automation, and configuration consistency.
  • Design highly available infrastructure architectures with appropriatebackup, disaster recovery, business continuity, RTO and RPOrequirements.
  • Ensure infrastructure designs meetsecurity, compliance, data residency, and regulatory requirements.
  • Perform capacity planning andcost optimisation, including resource right-sizing based on workload requirements.
  • Review infrastructure architecture and technical changes and provide guidance to infrastructure, cloud, DevSecOps, and engineering teams.
  • Support implementation teams by providing architecture guidance, technical standards, and recommended design patterns.
  • Evaluate emerging cloud and infrastructure technologies and provide recommendations for adoption where appropriate.
  • Contribute to infrastructure modernization, cloud migration, scalability, resilience, and performance improvement initiatives.
Core Technical Skills
Cloud & Hybrid Infrastructure

Experience with one or more major cloud platforms:

  • AWS
  • Microsoft Azure
  • Google Cloud Platform (GCP)
  • Hybrid cloud environments
  • On-premises infrastructure

Candidates with strong expertise in one cloud platform are welcome, while multi-cloud experience will be an advantage.

Compute, Networking & Storage

Strong understanding of infrastructure architecture across:

  • Compute
  • Networking
  • Storage
  • Virtualisation
  • Load balancing
  • High availability
  • Disaster recovery
  • Backup and recovery
  • Business continuity
  • Performance and capacity planning
Containers & Platform Technologies

Experience with:

  • Docker
  • Kubernetes
  • Container orchestration
  • Container-based infrastructure
  • Cloud-native platform architectures
Infrastructure-as-Code & Automation

Experience with Infrastructure-as-Code and configuration management tools such as:

  • Terraform
  • AWS CloudFormation
  • Azure Bicep
  • Ansible
  • Other infrastructure automation tools

Strong understanding ofenvironment management, configuration consistency, automation, and repeatable infrastructure deploymentis required.

AI/ML & Data Infrastructure

Experience designing infrastructure fordata-intensive and AI/ML workloadsis highly desirable.

Relevant experience may include:

  • GPU compute infrastructure
  • High-throughput storage
  • Scalable compute environments
  • AI/ML infrastructure
  • Model training infrastructure
  • Model inference environments
  • Data processing workloads
  • Performance and capacity optimisation for AI/ML workloads
Security & Compliance

Strong understanding of:

  • Infrastructure security
  • Security architecture
  • Identity and Access Management (IAM)
  • Authentication and authorization
  • Network security
  • Cloud security
  • Data protection
  • Compliance requirements
  • Data residency
  • Secure infrastructure design

The successful candidate should be able to incorporate security and compliance requirements into infrastructure architecture rather than treating them as an afterthought.

High Availability & Disaster Recovery

Experience designing resilient infrastructure with consideration for:

  • High Availability (HA)
  • Disaster Recovery (DR)
  • Backup strategies
  • Business Continuity
  • RTO – Recovery Time Objective
  • RPO – Recovery Point Objective
  • Failure recovery
  • Resilience and redundancy
Architecture & Leadership Responsibilities

For senior-level candidates, responsibilities may include:

  • Reviewing and approving infrastructure designs.
  • Establishing infrastructure architecture standards and reference patterns.
  • Providing technical direction to infrastructure and DevSecOps engineers.
  • Leading architecture discussions and design reviews.
  • Conducting technology evaluations and making adoption recommendations.
  • Mentoring engineers and supporting technical capability development.
  • Driving infrastructure modernization and optimization initiatives.
Required Qualifications

Depending on seniority, candidates should demonstrate relevant experience across:

  • Cloud infrastructure architecture or engineering
  • AWS, Azure and/or GCP
  • Networking and virtualisation
  • Docker and Kubernetes
  • Infrastructure-as-Code
  • Infrastructure automation
  • Security and IAM
  • High availability and disaster recovery
  • Infrastructure performance and capacity planning

For senior/architect-level positions:proven experience designing and governing enterprise-scale infrastructure architectures is expected.

For junior/mid-level candidates:strong hands-on infrastructure/cloud engineering experience with the ability and ambition to progress into architecture will also be considered.

Certifications – Desirable

Relevant certifications are advantageous, including:

  • AWS Solutions Architect
  • AWS Certified Advanced Networking / Security
  • Microsoft Azure Solutions Architect
  • Google Cloud Architect
  • Kubernetes certifications
  • HashiCorp Terraform certifications
  • TOGAF
  • Other relevant cloud, infrastructure, security, or architecture certifications
Preferred Experience

Experience in one or more of the following environments will be an advantage:

  • Enterprise infrastructure
  • Cloud transformation
  • Hybrid cloud
  • Cloud migration
  • AI/ML platforms
  • Data platforms
  • DevSecOps
  • Financial services / banking
  • Highly regulated environments
  • Large-scale distributed systems
What We're Looking For

We are looking for people who candesign, not just operate infrastructure— professionals who understand how compute, networking, storage, cloud, security, automation, resilience, and cost come together to support business-critical workloads.

Candidates should demonstrate strong problem-solving skills, technical curiosity, ownership, and the ability to work collaboratively with architecture, engineering, security, data, AI/ML, and DevSecOps teams.

Experience Levels

0–5 Years:Cloud/Infrastructure Engineers with strong hands-on exposure and a clear interest in architecture.

5–10 Years:Senior Cloud/Infrastructure Engineers with architecture and design experience.

10–15 Years:Infrastructure/Cloud Architects with enterprise-scale design and governance experience.

15+ Years:Lead/Principal Infrastructure Architects capable of owning complex enterprise and hybrid-cloud architecture strategies.

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