Site Reliability Engineer

As a Site Reliability Engineer, you will play a crucial role in training and optimizing AI models within advanced containerized infrastructures. This position focuses on real-time troubleshooting and dynamic process recovery, providing an opportunity to engage in a high-intensity project with potential for future extensions based on performance.

• Lead the deployment, monitoring, and recovery of complex, containerized AI training environments using advanced terminal techniques.
• Proactively identify, diagnose, and resolve infrastructure bottlenecks and failures in long-running processes.
• Orchestrate resilient system builds and manage infrastructure to ensure stability and optimal resource utilization.
• Collaborate closely with engineering teams to refine CI/CD pipelines and automate routine operational tasks.
• Manage and optimize filesystem structures, networked storage, and process scheduling in Dockerized sandboxes.
• Conduct rapid mid-execution replanning during error states and unforeseen runtime issues.
• Document best practices, emergent solutions, and contribute to knowledge transfer across the team.

• Demonstrated expert proficiency with terminal-based problem solving and complex system administration.
• Mastery of dynamic infrastructure recovery and long-running operational process management.
• Deep expertise in containerized environments (e.g., Docker, Kubernetes) and sandbox orchestration.
• Strong Python skills, with the ability to script, automate, and debug real-world production systems.
• Proficiency in Bash and familiarity with JavaScript/TypeScript, Go, Rust, C/C++.
• Experience with build systems, package managers, databases, version control, and cryptography tools.
• Adept at troubleshooting, documenting, and replanning in high-velocity technical environments.

• Background in machine learning operations or AI infrastructure.
• Familiarity with ML frameworks and distributed computing.
• Experience supporting multi-phase, high-intensity engineering projects.

Employment Type: Contract

Hourly rate ranges from $40 to $70.

This position is fully remote.