# Infrastructure Architect - Cloud DevOps And AI ML — Global Software Solutions Group

Canonical: https://jobxdubai.com/jobs/li-4458751653-infrastructure-architect-cloud-devops-and-ai-ml
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 30,000 to 90,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-08-25
Apply: https://www.linkedin.com/jobs/view/infrastructure-architect-cloud-devops-and-ai-ml-at-global-software-solutions-group-4458751653?_l=en

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## Description

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 across cloud, on-premises, and hybrid environments.

The role focuses on designing the infrastructure foundation for modern enterprise solutions, with particular emphasis on cloud 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 across cloud, on-premises, and hybrid environments.

• Define architecture across compute, storage, networking, databases, and platform services based on business and technical requirements.

• Design infrastructure requirements for data-intensive and AI/ML workloads, including GPU compute, high-throughput storage, scalable processing, and inference environments.

• Establish and maintain standards for Infrastructure-as-Code (IaC), environment management, automation, and configuration consistency.

• Design highly available infrastructure architectures with appropriate backup, disaster recovery, business continuity, RTO and RPO requirements.

• Ensure infrastructure designs meet security, compliance, data residency, and regulatory requirements.

• Perform capacity planning and cost 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 SkillsCloud & 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 of environment management, configuration consistency, automation, and repeatable infrastructure deployment is required.

AI/ML & Data Infrastructure

Experience designing infrastructure for data-intensive and AI/ML workloads is 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



## Requirements

Cloud infrastructure architecture or engineering; AWS, Azure and/or Google Cloud Platform (GCP); Networking and virtualization; Docker and Kubernetes; Infrastructure-as-Code; Infrastructure automation; Security and IAM; High availability and disaster recovery; Infrastructure performance and capacity planning. Certifications are advantageous (e.g., AWS Solutions Architect, Azure Solutions Architect, Google Cloud Architect, Kubernetes, Terraform). Senior/architect-level positions expect experience designing and governing enterprise-scale infrastructure architectures; junior/mid-level candidates with strong hands-on infrastructure/cloud engineering experience progressing into architecture will also be considered.

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