Platform​/Site Reliability Engineer

We are looking for a skilled Platform Engineer / SRE to design, implement, and maintain our cloud infrastructure and platforms. The ideal candidate will have a strong background in Kubernetes administration, Azure cloud services, infrastructure as code, and automation. You will play a crucial role in ensuring the scalability, reliability, and security of our systems while supporting our AI/ML initiatives.

• Design, deploy, and manage infrastructure solutions using Terraform, ensuring scalability, security, and reliability.
• Develop and maintain infrastructure as code scripts to automate the provisioning and configuration of resources.
• Ensure version-controlled, repeatable deployments using IaC best practices.
• Implement and manage Kubernetes clusters for containerized applications.
• Collaborate with development teams to deploy, scale, and optimize applications in Kubernetes environments.
• Leverage scripting languages (e.g. Python) to automate routine tasks and streamline workflows.
• Implement continuous integration and continuous deployment (CI/CD) pipelines for efficient software delivery.
• Ensure seamless integration of infrastructure components with CI/CD pipelines.
• Design, deploy, and maintain scalable and reliable infrastructure for AI/ML platforms.
• Implement containerization (Docker) and orchestration (Kubernetes) solutions for deploying and managing AI/ML applications.
• Ensure containerized applications are secure, scalable, and easily deployable.
• Enable seamless integration of AI/ML models into the platform, ensuring data pipelines are efficient and reliable.
• Establish monitoring and alerting systems to ensure the health and performance of AI/ML platforms.
• Implement security best practices for AI/ML platforms, ensuring data privacy and compliance with industry standards.

• Bachelor's degree in computer science, Engineering, or a related field.
• Proven experience in Kubernetes administration, specifically with Azure Kubernetes Service (AKS).
• Strong proficiency in Azure cloud services and Azure ARM templates.
• Expert-level scripting skills in Power Shell and Python.
• Hands-on experience with Terraform for infrastructure as code.
• Solid understanding of CI/CD principles and experience with Azure Dev Ops.
• Experience with containerization technologies, particularly Docker.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.