Build and operate reliable infrastructure, backend systems, data pipelines, and MLOps platforms for an AI-powered QA platform. Responsibilities include AWS and GCP infrastructure, container management, Terraform, SLO improvement, CI/CD for machine learning model training and deployment, production observability, data governance, and scaling ML systems. The role collaborates with engineering and research teams and may participate in on-call rotations.