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. Strong understanding of infrastructure, build systems, and version control. Ability to manage dynamic infrastructure recovery in high-pressure scenari...