Build and operate back-end services, internal tools, and the platform layer (VMs, APIs, Docker/K8s, git, CI/CD, backups), drive incidents to resolution, and lead implementation of new manufacturing tools, coordinating upgrades, testing, validation, and deployment with vendors and stakeholders. Direct experience managing data in a manufacturing or industrial environment, with an understanding of manufacturing processes and workflows, working with production, lab, sensor, or other equipment-generated data and bridging the gap between raw machine output and analytics-ready datasets.