Staff Site Reliability Engineer - job 1 of 8

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 to support internal ML workflows
• Collaborate with various teams to identify infrastructure needs and optimize the ML lifecycle

Required Qualifications

• 7+ years of experience in Site Reliability Engineering (SRE), DevOps, or infrastructure engineering roles
• Expertise with on-premises infrastructure for machine learning workloads (e.g., Kubernetes, Docker)
• Proficiency with infrastructure automation and configuration management tools (e.g., Terraform, Ansible)
• Experience with observability and monitoring for ML systems (e.g., Prometheus, Grafana)
• Familiarity with Python-based ML frameworks (e.g., PyTorch, TensorFlow)