Site Reliability Engineer

Job Summary

Provider of platform for machine learning model training and deployment. It offers tools for fine-tuning, deploying, and observing machine learning models. Own platform uptime, reliability, scalability, and performance.

Join a fast-growing GenAI startup as an SRE and take ownership of the reliability, scalability, and operational excellence of a platform powering the end-to-end ML lifecycle. You ll work across Kubernetes, cloud infrastructure, production systems, observability, automation, and model-serving workloads, while helping build strong SRE and incident-management practices.

Responsibilities

• Manage Kubernetes clusters, cloud infrastructure, and production environments
• Establish and improve incident response, on-call, RCA, and postmortem processes
• Drive deployment, rollback, and change-management practices
• Handle capacity planning and disaster recovery
• Build and enhance monitoring, alerting, and operational dashboards
• Automate deployments, scaling, and repetitive operational workflows
• Troubleshoot complex production infrastructure and application issues
• Support GPU workloads and model-serving infrastructure