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.