Job Description
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.