# Infrastructure Architect - Cloud, DevOps & AI/ML

**Company:** [GSSTech Group](http://jobs.workable.com/companies/cu9XaZB8i9r9X8CdwN62f7.md)
**Location:** Dubai, United Arab Emirates
**Workplace:** on site

[Apply for this job](http://jobs.workable.com/view/beeea62c-5ed0-4d3f-8342-de7e0d204e24)

## 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.

## Requirements

### 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 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 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:

-   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 can **design, 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.
