Staff Site Reliability Engineer (SRE) - Machine Learning Infrastructure - Remote

Overview

The Wikimedia Foundation is seeking a Staff Site Reliability Engineer (SRE) to focus on Machine Learning Infrastructure, working with a distributed team across various time zones.

In Short

• Design and implement robust ML infrastructure for training and deploying models.
• Improve reliability and scalability of ML systems.
• Collaborate with ML engineers and product teams.
• Monitor and optimize system performance.
• Provide guidance and documentation for ML infrastructure usage.
• Mentor team members in infrastructure management.

Requirements

• 7+ years of experience in SRE or infrastructure engineering.
• Expertise with on-premises ML infrastructure (Kubernetes, Docker).
• Proficiency in infrastructure automation tools (Terraform, Ansible).
• Experience with observability tools (Prometheus, Grafana).
• Familiarity with Python-based ML frameworks (PyTorch, TensorFlow).
• Strong English communication skills.

Benefits

• Remote-first organization with a diverse workforce.
• Competitive and equitable salary structure.
• Support for open-source software and volunteer communities.
• Opportunities for professional growth and mentorship.