Job Title: Systems & Infrastructure Specialist
Job Type: Contractor
Location: Remote
Job Summary:
Join our customer’s team as a Systems & Infrastructure Specialist for a high-intensity, expert-level project focused on training and optimizing AI models within intricate, containerized environments. In this terminal-intensive role, you’ll apply a systems-first mindset to solve complex infrastructure challenges in real time. This one-time project offers significant opportunities for extension or transition into future phases for those who demonstrate elite technical execution.
Key Responsibilities:
• Navigate, troubleshoot, and recover dynamic infrastructure and long-running processes in real-time using command-line tools.
• Master and manage highly containerized environments, including orchestrating Dockerized sandboxes and CI/CD workflows.
• Build, maintain, and optimize systems for AI model training and high-throughput compute environments.
• Respond swiftly to system errors, executing dynamic mid-operation replanning and recovery.
• Collaborate with engineering and AI teams to ensure seamless integration, reliability, and performance.
• Document system architectures, incident responses, and recovery protocols with meticulous clarity.
• Contribute expertise to evolving project needs, adapting to new technologies and scaling strategies as required.
Required Skills and Qualifications:
• Demonstrated expert proficiency working in terminal environments for system builds, server administration, and infrastructure management.
• Advanced problem-solving skills for multi-step troubleshooting, filesystem navigation, and process management within containerized settings.
• Hands-on experience with Python, Bash, JavaScript/TypeScript, Go, Rust, and/or C/C++.
• Deep familiarity with build systems, package managers, databases, web servers, ML frameworks, version control, and cryptography tools.
• Proven ability to execute dynamic infrastructure recovery and optimize long-running processes under pressure.
• Strong written and verbal communication skills, with a passion for precise technical documentation.
• Systems multilingualism: versatility across operating systems, languages, and emerging DevOps tools.
Preferred Qualifications:
• Prior experience in high-compute environments for AI/ML workloads.
• Background in Site Reliability Engineering or DevOps roles focused on mission-critical infrastructure.
• Familiarity with advanced container orchestration and distributed system design.