Deployment & Operations Engineer

Position: Deployment & Operations EngineerKey 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.

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.