Key Responsibilities:

• Deploy and configure Red Hat OpenShift clusters according to best practices.
• Experience with MLOps, A.I., ML, MLFlow.
• Set up and maintain cluster authentication, RBAC (Role-Based Access Control), and security policies.
• Customize cluster configurations to meet specific application requirements.
• Implement monitoring solutions to track the health and performance of OpenShift clusters.
• Troubleshoot and resolve issues related to cluster operations and application deployments.
• Perform regular system checks and updates to ensure optimal cluster performance.
• Manage cluster scaling, including the addition and removal of nodes as needed.
• Implement high availability and disaster recovery strategies for OpenShift clusters.
• Ensure the security of OpenShift environments by applying security patches, access controls, and network policies.
• Monitor and enforce compliance with security standards and regulations.
• Develop and maintain backup and recovery procedures for OpenShift clusters.
• Test and verify disaster recovery plans to minimize downtime and data loss.
• Automate repetitive tasks using scripting and orchestration tools.
• Create and manage CI/CD pipelines for application deployment.

Qualifications:

• Experience building end-to-end systems as a Platform Engineer, ML DevOps Engineer, or Data Engineer (or equivalent)
• Strong software engineering skills in complex, multi-language systems
• Fluency in Python
• Comfort with Linux administration
• Experience working with cloud computing and database systems
• Experience building custom integrations between cloud-based systems using APIs
• Experience developing and maintaining ML systems built with open source tools
• Experience developing with containers and Kubernetes in cloud computing environments.

Education:

• Bachelor’s degree/University degree or equivalent experience.