Key Responsibilities:

• Azure Expertise: Set up, configure, and manage Azure environments through automation, ensuring optimized performance, cost, and security.
• Automation and CI/CD: Collaborate with development teams to design and implement CI/CD pipelines, integrating automation from code integration to deployment.
• Terraform Mastery: Automate infrastructure provisioning and management using Terraform, ensuring reproducibility and scalability.
• Container Orchestration: Work with Docker for containerization and Kubernetes for orchestration, ensuring seamless deployment and scaling.
• Collaborate with Data Scientists: Assist data scientists in deploying, managing, and scaling machine learning models in Azure environments.
• Security & CDN Configuration: Implement and manage security best practices, set up and optimize CDN configurations, and possess knowledge of CDN distributed edge functions.
• Stay Updated: Keep abreast of the latest Azure services, AI technologies, and other relevant tech advancements

Working time: 8h/day

Required Skills & Experience:

• Strong hands-on experience with Azure cloud services and automation.
• Proficiency in Terraform for infrastructure as code.
• Solid understanding of Node.js.
• Demonstrated experience with Docker and Kubernetes.
• Prior experience with CI/CD tools and methodologies.
• Knowledge of security best practices, especially within Azure.
• Experience with CDN configurations and distributed edge functions.
• Familiarity with Python or similar scripting languages.
• Additional proficiency in AWS and knowledge in ML and SageMaker are highly regarded.

Desirable Experience:

• Azure Certification (highly regarded but not mandatory).
• Prior experience working with data scientists and machine learning deployments.
• Understanding and interest in AI technologies, especially OpenAI.
• Proactive attitude with the ability to work independently and deliver results.

Personal Attributes:

• Strong problem-solving skills.
• Excellent communication and collaboration skills.
• A passion for innovation and continuous learning.
• Self-driven with the ability to work independently and take initiative.

How to Apply:

• Send the CV
• Interested candidates are requested to send in a short video recording (2-5 minutes) with their webcam turned on, explaining their relevant experience and skills. This will help us assess communication skills and better understand the applicant‘s fit for the role.