Systems & Infrastructure Specialist - Lacy-Lakeview

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.