Senior Cloud, AI & Platform Engineering Professionals – Azure, AWS & AI Ops | UAE

Location: UAE

Job Category: Information Technology (IT) & Software; Engineering & Technical; Telecommunications; Science & Research

Job Overview

Talent Arabia is hiring experienced technology professionals for multiple Senior Cloud, AI, and Platform Engineering positions with a client in the UAE. The opportunities cover Azure and AWS platform engineering, AI Operations, AI quality and reliability engineering, and AI agent runtime platform engineering.

These positions are suited to professionals with strong hands-on technical expertise and experience working with enterprise-scale cloud and AI environments. Candidates will contribute to cloud infrastructure, platform engineering, DevOps, AI/ML operations, reliability engineering, automation, monitoring, distributed systems, and production-scale technology platforms.

The opportunities provide strong scope for career growth and professional development across cloud computing, artificial intelligence, DevOps, MLOps, SRE, Kubernetes, platform engineering, and distributed systems. Relevant cloud and technology certifications, technical training, and continuous upskilling can support long-term career progression.

Open Positions & Vacancies

1. Senior Platform Engineer – Azure Focus

Vacancies: 8

• Strong expertise in Microsoft Azure.
• Azure infrastructure and cloud automation.
• Platform engineering experience.
• CI/CD and Kubernetes experience.
• Infrastructure as Code (IaC).
• DevOps practices.

2. Senior Platform Engineer – AWS Focus

Vacancies: 8

• Strong expertise in AWS cloud services.
• Platform engineering and cloud infrastructure.
• Cloud automation.
• Kubernetes and CI/CD.
• Terraform and Infrastructure as Code (IaC).
• DevOps practices.

3. AI Ops Engineer

Vacancies: 8

• AI/ML operations experience.
• Experience working in production environments.
• MLOps and AI Operations.
• Automation, monitoring, and observability.
• Cloud platform experience.
• Deployment pipelines and AI workloads.

4. AI Quality & Reliability Engineer (QA/SRE)

Vacancies: 8

• Strong QA, SRE, and reliability engineering background.
• Experience testing AI/ML applications and platforms.
• Automation and performance testing.
• Monitoring and observability.
• Incident management.
• AI platform quality and reliability practices.

5. Agent Runtime Platform Engineer

Vacancies: 8

• Experience building and supporting AI agent platforms and runtime environments.
• Strong knowledge of distributed systems.
• APIs and container technologies.
• Kubernetes expertise.
• Cloud platform experience.
• Automation and production-scale systems experience.

Total advertised vacancies: 40

Key Responsibilities

Responsibilities will vary according to the selected position and may include:

• Design, implement, and support enterprise-scale cloud infrastructure.
• Develop and maintain cloud platform engineering solutions.
• Automate infrastructure and deployment processes.
• Build and manage CI/CD pipelines.
• Deploy and manage Kubernetes-based environments.
• Implement Infrastructure as Code using relevant tools such as Terraform.
• Support Microsoft Azure or AWS cloud environments.
• Manage AI/ML workloads in production environments.
• Implement MLOps and AI Operations processes.
• Monitor application, infrastructure, and AI platform performance.
• Develop observability and reliability practices.
• Conduct automation and performance testing.
• Support incident management and service reliability.
• Build and support AI agent platform and runtime environments.
• Work with distributed systems, APIs, containers, and production-scale platforms.
• Collaborate with engineering, DevOps, QA, SRE, AI, and technology teams.

Requirements & Qualifications

• Strong hands-on technical expertise in the relevant technology area.
• Experience working with enterprise-scale cloud and/or AI environments.
• Relevant experience in Azure, AWS, AI Ops, SRE, QA, platform engineering, or AI agent platforms depending on the position.
• Experience with cloud infrastructure and automation.
• Knowledge of Kubernetes and container technologies for relevant roles.
• Experience with CI/CD and DevOps practices.
• Infrastructure as Code experience, including Terraform where applicable.
• Strong monitoring, observability, reliability, and incident management capabilities for relevant roles.
• Experience with AI/ML production environments for AI-focused positions.
• Strong knowledge of distributed systems and APIs for the Agent Runtime Platform Engineer position.
• Candidates currently based in the UAE or willing to relocate are encouraged to apply.
• Relevant cloud, DevOps, AI, SRE, or platform engineering certifications are advantageous.

Salary, Benefits & Career Growth

Salary: Not provided by the employer.

These positions offer opportunities for professional development across cloud computing, AI/ML operations, platform engineering, DevOps, MLOps, SRE, Kubernetes, automation, and distributed systems. Technical certifications, specialized training, enterprise-scale project exposure, and continuous upskilling can support long-term career progression.

Specific compensation, employee benefits, and employment conditions should be confirmed directly with the employer during the recruitment process.

Application Process

Application Process (Website)

Interested candidates should follow the recruitment process and submit their updated CV for the relevant position.

HR Email for Application

Send your updated CV directly