FDE Engineer

Quantum Talent Group; Dubai; On-site; AED 400,000 - 560,000; Full time

Job summary

Quantum Talent Group seeks an experienced FDE Engineer to design and deploy secure, scalable cloud and AI solutions for enterprise clients. You will work hands-on, bridging business needs with production-grade cloud platforms and GenAI use cases.

The role requires strong Terraform/Bicep, Docker, Kubernetes, CI/CD and a proven track record delivering to enterprise clients. Expect client-facing engagement and a high-impact, production-oriented environment.

Qualifications

• 5+ years in DevOps, Cloud, Platform Engineering or SRE.
• 3+ years with major cloud platforms, ideally Microsoft Azure.
• Strong experience with Terraform/Bicep, CI/CD, Docker and Kubernetes.
• Strong understanding of cloud networking, security and production operations.
• Scripting/automation experience, ideally Python.
• Experience working directly with enterprise clients and senior stakeholders.

Responsibilities

• Design and manage production cloud infrastructure using Infrastructure as Code.
• Build and own CI/CD pipelines and automated deployment processes.
• Deploy and operate containerised applications using Docker and Kubernetes.
• Implement cloud security, IAM, networking, secrets management and compliance controls.
• Build monitoring, logging and observability for production environments.
• Own production releases, troubleshooting, incident response and reliability.
• Work directly with clients to translate requirements into technical solutions.
• Identify and shape practical AI/GenAI use cases and prototypes.

Skills

DevOps

Cloud Platforms (Azure)

Terraform/Bicep

CI/CD

Docker

Kubernetes

Python

AI/GenAI

Enterprise clients

Tools

Terraform

Bicep

GitOps

AKS

Cloud Networking

Job description

We're hiring an experienced FDE Engineer to work directly with enterprise clients, designing and deploying secure, scalable cloud and AI solutions into production.

This is a hands-on, client-facing role requiring strong cloud/platform engineering expertise combined with the ability to understand business challenges and identify where AI can deliver practical value.

Key Responsibilities

• Design and manage production cloud infrastructure using Infrastructure as Code
• Build and own CI/CD pipelines and automated deployment processes
• Deploy and operate containerised applications using Docker and Kubernetes
• Implement cloud security, IAM, networking, secrets management and compliance controls
• Build monitoring, logging and observability for production environments
• Own production releases, troubleshooting, incident response and reliability
• Work directly with clients to understand requirements and translate them into technical solutions
• Identify and shape practical AI/GenAI use cases, prototypes, automations and agentic workflows
• Take solutions from initial concept through to secure, scalable production deployment

Experience Required

• 5+ years in DevOps, Cloud, Platform Engineering or SRE
• 3+ years working with major cloud platforms, ideally Microsoft Azure
• Strong experience with Terraform/Bicep, CI/CD, Docker and Kubernetes
• Strong understanding of cloud networking, security and production operations
• Scripting/automation experience, ideally Python
• Experience working directly with enterprise clients and senior stakeholders
• Good practical understanding of AI/GenAI and the ability to explain AI concepts in business terms

Experience with Azure, AKS, GitOps, enterprise AI solutions and regulated environments would be advantageous.