DevSecOps Engineer; Azure, Kubernetes & AI​/ML Platforms IDC Technologies | UAE

Job Title:

Dev Sec Ops  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

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

IDC Technologies is seeking a highly skilled Dev Sec Ops  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.

As a Dev Sec Ops  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 Dev Ops practices.

• Design, implement, and maintain Dev Sec Ops  frameworks and best practices across enterprise environments.
• Develop and manage CI/CD pipelines using Azure Dev Ops, Git Hub 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 Power Shell.
• Support AI/ML platforms including MLflow, Kubeflow, Azure Machine Learning, and Amazon Sage Maker.
• 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.

• Minimum 7 years of experience in Dev Ops, Dev Sec Ops , Cloud Engineering, or Platform Engineering.
• Strong hands-on experience with Dev Sec Ops  practices and secure software delivery.
• Expertise in Azure Dev Ops, Git Hub Actions, and Jenkins.
• Proven experience using Terraform for Infrastructure as Code (IaC).
• Strong scripting skills using Python, Bash, and Power Shell.
• Extensive experience with Microsoft Azure cloud services.
• Hands-on experience managing Kubernetes environments.
• Experience with MLflow, Kubeflow, Azure Machine Learning, or Amazon Sage Maker.
• 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.

• Experience with container security, Dev Sec Ops  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 Dev Ops Engineer Expert, CKA, CKAD, or Terraform Associate.
• Experience supporting enterprise-scale AI, data science, or machine learning platforms.