Responsibilities

• Deploy, monitor, and recover containerized AI training environments.
• Troubleshoot infrastructure bottlenecks and resolve system failures in real time.
• Build and manage resilient systems for stability and performance optimization.
• Collaborate with engineering teams to improve CI/CD pipelines and automation.
• Manage filesystem structures, storage, and process scheduling in containerized environments.
• Execute dynamic replanning during runtime issues and system failures.
• Document system processes, solutions, and best practices.

Requirements

• Strong experience with terminal-based system administration and troubleshooting.
• Expertise in containerized environments such as Docker or Kubernetes.
• Strong Python skills for scripting, automation, and debugging.
• Proficiency in Bash and familiarity with additional programming languages.