Build and maintain Python software for life science instruments, including experiment orchestration, data processing, operational tools, deployment, monitoring, diagnostics, and recovery. Investigate issues spanning software, infrastructure, data, and physical equipment. Drive releases, CI/CD, reliability, and production readiness while gradually taking ownership of architecture and technical decisions.