Deployment & Operations Engineer

Position: Deployment & Operations Engineer Key Responsibilities: - Deploy the AI platform to production environments, including cloud GPU, managed services, and future on-premise or self-hosted deployments. - Ensure system stability, scalability, and adaptability to meet evolving business needs. - Establish and maintain CI/CD pipelines to streamline deployment processes. - Monitor system performance and handle incidents to ensure high availability and reliability. - Ensure Service Level Agreements (SLA) are met across all environments. - Optimize operational costs and maintain security compliance. - Select and implement optimal deployment solutions based on specific business requirements. - Support multi-region and multi-environment deployments for large-scale AI platforms or systems. Requirements: - Proficient in cloud platforms such as AWS and Azure. - Experienced with containerization technologies, particularly Kubernetes. - Capable of deploying solutions across both cloud and on-premise infrastructures. - Demonstrated experience in AI platform operations or managing large-scale system deployments. - Ability to support and maintain deployments in multiple regions and environments.