DevOps Engineer

Job Title: DevOps Engineer

Job Type: Contractor

Location: Remote

Job Summary:

Join our customers team as a DevOps Engineer on a specialized, high-intensity project dedicated to training and optimizing AI models within advanced containerized environments. This is an expert-level, terminal-intensive engagement where your ability to troubleshoot, recover, and optimize dynamic infrastructure will directly influence project success. Demonstrate elite technical execution in a role that offers the potential for further engagement or transition to subsequent project phases.

Key Responsibilities:

• Architect, maintain, and optimize containerized environments for large-scale AI model training and data processing.
• Rapidly diagnose and resolve issues in live systems, employing advanced terminal-native problem-solving skills.
• Implement dynamic infrastructure recovery protocols to ensure high system availability and resilience.
• Collaborate closely with cross-functional teams to streamline CI/CD pipelines and automate critical workflows.
• Manage, monitor, and troubleshoot long-running server processes, proactively identifying and addressing resource bottlenecks and failures.
• Replan and recover interrupted processes in Dockerized sandboxes, minimizing downtime and maximizing efficiency.
• Contribute technical expertise to system builds, server administration, and infrastructure management for cutting-edge AI workloads.

Required Skills and Qualifications:

• Proven expertise as a DevOps Engineer in production environments, with hands-on terminal proficiency.
• Mastery of dynamic infrastructure recovery, error resolution, and live process management in complex, containerized setups.
• Demonstrated skill in Docker, Kubernetes, and related container orchestration technologies.
• Strong programming abilities in Python, with proficiency in Bash scripting and familiarity with JavaScript/TypeScript, Go, Rust, or C/C++.
• Experience with build systems, package managers, databases, web servers, ML frameworks, version control, and cryptography tools.
• Exceptional troubleshooting ability, especially in multi-step, mid-execution replanning scenarios.
• Systems-first mindset with a passion for optimizing large-scale, mission-critical environments.

Preferred Qualifications:

• Hands-on experience supporting AI/ML model training pipelines or high-availability compute clusters.
• Background in security, cryptography, or compliance within containerized or cloud-driven environments.
• Contributions to open-source DevOps tooling or infrastructure projects.