Site Reliability Engineer

$40 - $70/hourpay

Required Skills

Terminal-Native Problem Solving
Dynamic Infrastructure Recovery
Containerized Environment Mastery
Python
About micro1
micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.
Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI.

Job Description

Job Title: Site Reliability Engineer


Job Type: Contractor


Location: Remote


Job Summary:

Join our customer's team as a Site Reliability Engineer for a specialized, high-intensity project centered on training and optimizing AI models within cutting-edge containerized infrastructures. This terminal-intensive engagement demands a systems-first approach, real-time troubleshooting, and dynamic process recovery, offering significant potential for future extension or transition into advanced phases for standout performers.


Key Responsibilities:

• 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 infrastructure management, ensuring 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.


Required Skills and Qualifications:

• 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.


Preferred Qualifications:

• Background in machine learning operations or AI infrastructure.

• Familiarity with ML frameworks and distributed computing.

• Experience supporting multi-phase, high-intensity engineering projects.

Apply now

Please note that after completing the interview process, you’ll be added to our talent pool and considered for this and other roles that match your skills.

Have any questions? See FAQs

Refer and Earn$300