Azur Automation Engineer

Tasks

• Development and implementation of AI agents and intelligent automation tools.
• Automation of cloud deployments, including network, storage, compute, and monitoring resources.
• Practical experience and implementation of scalable IaC projects and data pipeline solutions.
• Managing the migration and onboarding of complex, diverse data sources via the security platform.
• Promote the adoption of Infrastructure-as-Code (IaC) frameworks and best practices using Terraform and ARM templates.
• Implementation of CI/CD pipelines for automated deployment, testing, and infrastructure management.
• Mentoring and guiding junior engineers in Azure best practices, IaC, and cloud architecture design.
• Design and implement robust security practices and policies in accordance with Azure security principles (e.g., Azure Security Center, Key Vault, etc.).

Requirements

• Demonstrable hands-on experience in the design, implementation, and management of Azure cloud infrastructure.
• Experience in the architecture, design, and development of AI agents.
• Expertise in Azure services, including compute, networking, storage, security, and monitoring.
• Extensive experience with Infrastructure-as-Code (IaC) tools such as Terraform and ARM templates.
• Proven experience in setting up CI/CD pipelines for deploying cloud-based infrastructure.
• Bachelor's or Master's degree in computer science, engineering, or a related field (or equivalent experience).

Skills and competencies

• Excellent communication skills, both written and oral.
• Strong problem-solving and analytical skills.
• Ability to adapt to changing requirements in a dynamic environment.
• A proactive approach to continuous learning and self-improvement.
• Familiarity with DevOps practices and tools such as Git, Ansible, or Docker.
• Experience with containerization and Kubernetes within Azure (AKS).