Site Reliability Engineering Jobs

This DevOps Engineer role focuses on architecting, implementing, and optimizing scalable infrastructure solutions across dynamic cloud environments. The engineer will drive production reliability, automation, and security for high-traffic systems, while mentoring new hires and fostering a culture of technical excellence. The position is remote, full-time, and requires deep expertise in AWS, Kubernetes, and Docker.

This Site Reliability Engineer role involves applying domain expertise to help train next-generation AI systems by designing and maintaining scalable infrastructure. The engineer will monitor system health, automate operations, respond to incidents, and collaborate with development teams to ensure high availability. No prior AI experience is required—only deep knowledge of Linux, Kubernetes, and Prometheus.

This Site Reliability Engineer role involves deploying, monitoring, and recovering containerized AI training environments. You will use advanced terminal techniques to manage infrastructure, automate tasks, and ensure system stability. The work directly supports training next-generation AI systems, leveraging your domain expertise rather than prior AI experience.

In this role, you'll apply your expertise to help train next-generation AI systems by designing, deploying, and managing scalable cloud and on-premises infrastructure. You will monitor performance, automate processes, and ensure security and compliance. No prior AI experience is needed—your infrastructure domain knowledge is what matters.

This role involves applying system administration expertise to help train next-generation AI systems. You will administer and maintain Linux and Windows server environments, manage configurations, enforce security policies, troubleshoot issues, and monitor performance. Your work provides high-quality, real-world input to shape how AI models learn and reason.

This role involves supporting production infrastructure including servers, containers, storage, and networks, while also contributing to the training of next-generation AI systems by providing real-world operational input. Responsibilities include monitoring, troubleshooting, incident response, managing CI/CD pipelines with Jenkins and Kubernetes, and collaborating with DevOps teams. The position is remote, contract-based, and requires strong Linux and cloud platform expertise.

This role involves applying electrical engineering expertise to train next-generation AI systems. As a contractor in micro1's Super Star Program, you will consult with clients, create sample tasks, and advise on engineering decisions. Your domain knowledge will shape how AI models learn, reason, and perform through high-quality, real-world input.