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.