Staff Site Reliability Engineer

Job Summary

A company is looking for a Staff Site Reliability Engineer focused on Machine Learning Infrastructure.

Key Responsibilities

• Design and implement robust ML infrastructure for training, deployment, monitoring, and scaling of machine learning models
• Improve reliability, availability, and scalability of ML infrastructure while ensuring efficient workflows for internal teams
• Collaborate with various teams to identify infrastructure requirements, resolve operational issues, and streamline the ML lifecycle

Required Qualifications

• 7+ years of experience in Site Reliability Engineering, DevOps, or infrastructure engineering roles with exposure to production-grade machine learning systems
• Proven expertise with on-premises infrastructure for machine learning workloads (e.g., Kubernetes, Docker, GPU acceleration)
• Strong proficiency with infrastructure automation and configuration management tools (e.g., Terraform, Ansible)
• Experience implementing observability and monitoring for ML systems (e.g., Prometheus, Grafana)
• Familiarity with popular Python-based ML frameworks (e.g., PyTorch, TensorFlow)