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.