DevOps Engineer - Cloud & MLOps - Government Sector

Apt Resources; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A key recruitment agency is seeking an experienced DevOps Engineer for a government client in Abu Dhabi. In this critical role, you will build and maintain robust cloud infrastructure while implementing cutting-edge CI/CD pipelines to support advanced AI/ML solutions. Candidates should have 7-8 years of experience and strong expertise in CI/CD tools, Infrastructure as Code, and container orchestration, preferably in a government environment.

Benefits

To be discussed

Qualifications

• 7-8 years of professional DevOps experience.
• Strong expertise in CI/CD tools, Infrastructure as Code, and container orchestration.
• Knowledge of security best practices for government systems.

Responsibilities

• Design and implement secure CI/CD pipelines using Jenkins or GitHub Actions.
• Automate cloud infrastructure provisioning with Terraform (Azure preferred).
• Manage and optimize Kubernetes clusters for containerized applications.
• Develop MLOps workflows using tools like MLflow for model deployment.
• Implement comprehensive monitoring solutions for infrastructure and ML models.
• Collaborate with AI/ML teams to streamline model deployment processes.

Skills

CI/CD tools (Jenkins/GitHub Actions)

Infrastructure as Code (Terraform)

Container orchestration (Kubernetes)

Cloud platforms (Azure preferred)

Scripting with Bash/Python

MLOps tools and workflows

Security best practices for government systems

Job description

Description

Apt Resources is seeking an experienced DevOps Engineer for a government client in Abu Dhabi. In this critical role youll build and maintain robust cloud infrastructure while implementing cutting-edge CI/CD pipelines to support advanced AI/ML solutions in a secure government environment.

Key Responsibilities:

• Design and implement secure CI/CD pipelines using Jenkins or GitHub Actions
• Automate cloud infrastructure provisioning with Terraform (Azure preferred)
• Manage and optimize Kubernetes clusters for containerized applications
• Develop MLOps workflows using tools like MLflow for model deployment
• Implement comprehensive monitoring solutions for infrastructure and ML models
• Maintain strict compliance with government security standards
• Collaborate with AI/ML teams to streamline model deployment processes

Requirements

• 7-8 years of professional DevOps experience
• Strong expertise in:
• CI/CD tools (Jenkins/GitHub Actions)
• Infrastructure as Code (Terraform)
• Container orchestration (Kubernetes)
• Cloud platforms (Azure preferred)
• Proficiency in scripting with Bash/Python
• Experience with MLOps tools and workflows
• Knowledge of security best practices for government systems

Benefits

To be discussed