DevSecOps Engineer (Azure, Kubernetes & AI/ML Platforms) | IDC Technologies | Abu Dhabi, UAE

Tech Junction Ltd; Abu Dhabi; On-site; AED 350,000 - 550,000; Full time

Job summary

IDC Technologies is seeking a highly skilled DevSecOps Engineer to support enterprise cloud platforms, secure delivery pipelines, and AI/ML infrastructure in Abu Dhabi. You will design secure cloud-native platforms, automation, and MLOps workflows while collaborating with cross-functional teams.

The role requires deep expertise in Azure, Kubernetes, Terraform, and security controls across the SDLC. Onsite in Abu Dhabi with a focus on scalable and compliant cloud solutions.

Qualifications

• 7+ years in DevSecOps, Cloud or Platform Engineering.
• Strong hands-on in secure software delivery and DevSecOps practices.
• Expertise with Azure, Kubernetes, IaC and automation tools.

Responsibilities

• Design, implement, and maintain secure cloud-native platforms and CI/CD pipelines.
• Collaborate with dev, security, and data teams to secure AI/ML workloads.
• Optimize deployment processes and automate operational tasks across enterprise environments.

Skills

DevSecOps

Azure

Kubernetes

Terraform

Python

Bash

PowerShell

CI/CD

Security & Compliance

Tools

Azure DevOps

GitHub Actions

Jenkins

Job description

Job Title: DevSecOps Engineer (Azure, Kubernetes & AI/ML Platforms) | IDC Technologies | Abu Dhabi, UAE

Recruiting Company: IDC Technologies

Job Location: Abu Dhabi, United Arab Emirates (Onsite)

Job Type: Full-Time

Additional Information

• Experience Required: 7+ Years
• Notice Period: Maximum 30 Days
• MOFA-Attested Certificate Preferred
• Azure Cloud & DevSecOps Environment
• AI/ML Platform and Automation Focus

Position Summary

IDC Technologies is seeking a highly skilled DevSecOps Engineer to support enterprise cloud platforms, secure software delivery pipelines, and AI/ML infrastructure initiatives in Abu Dhabi. This role combines cloud engineering, security automation, infrastructure as code, container orchestration, and MLOps practices to drive scalable and secure digital transformation programs.

Detailed Job Description

As a DevSecOps Engineer, you will be responsible for designing, implementing, and maintaining secure cloud-native platforms and automated CI/CD pipelines across enterprise environments. You will work closely with development, security, infrastructure, and data science teams to ensure secure and efficient delivery of applications and AI/ML workloads. The role requires strong expertise in Microsoft Azure, Kubernetes, infrastructure automation, monitoring, and security integration throughout the software development lifecycle. You will be expected to optimize deployment processes, strengthen platform security, automate operational tasks, and support large-scale cloud and AI-driven initiatives. This is an excellent opportunity for professionals who are passionate about cloud engineering, security, and modern DevOps practices.

Key Responsibilities

• Design, implement, and maintain DevSecOps frameworks and best practices across enterprise environments.
• Develop and manage CI/CD pipelines using Azure DevOps, GitHub Actions, and Jenkins.
• Automate infrastructure provisioning and configuration management using Terraform.
• Build and maintain Azure cloud infrastructure and platform services.
• Implement security controls and compliance requirements throughout the application lifecycle.
• Deploy, manage, and optimize Kubernetes-based environments.
• Develop automation scripts using Python, Bash, and PowerShell.
• Support AI/ML platforms including MLflow, Kubeflow, Azure Machine Learning, and Amazon SageMaker.
• Design and manage MLOps pipelines and AI/ML deployment workflows.
• Monitor platform health through comprehensive logging, monitoring, and incident management solutions.
• Troubleshoot infrastructure, deployment, security, and performance issues.
• Collaborate with development, security, operations, and data engineering teams to improve delivery efficiency and platform reliability.

Required Qualifications & Skills

• Minimum 7 years of experience in DevOps, DevSecOps, Cloud Engineering, or Platform Engineering.
• Strong hands-on experience with DevSecOps practices and secure software delivery.
• Expertise in Azure DevOps, GitHub Actions, and Jenkins.
• Proven experience using Terraform for Infrastructure as Code (IaC).
• Strong scripting skills using Python, Bash, and PowerShell.
• Extensive experience with Microsoft Azure cloud services.
• Hands-on experience managing Kubernetes environments.
• Experience with MLflow, Kubeflow, Azure Machine Learning, or Amazon SageMaker.
• Strong understanding of AI/ML pipelines and data workflow automation.
• Experience implementing monitoring, logging, observability, and incident management solutions.
• Knowledge of cloud security, vulnerability management, and compliance frameworks.
• Strong troubleshooting, analytical, and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Availability to join within 30 days.

Nice-to-Have Skills

• Experience with container security, DevSecOps scanning tools, and policy enforcement frameworks.
• Knowledge of service mesh technologies and cloud-native networking.
• Experience with Azure Kubernetes Service (AKS).
• Relevant certifications such as Microsoft Azure Solutions Architect, Azure DevOps Engineer Expert, CKA, CKAD, or Terraform Associate.
• Experience supporting enterprise-scale AI, data science, or machine learning platforms.