The Open-Source Technology Lead joins the BI&T and Data and Quantitative Sciences teams to manage container orchestration and open source package lifecycle. This role involves building, hardening, and maintaining Docker and Kubernetes images while designing registry strategies to ensure secure, reproducible environments. Key responsibilities include managing R and Python packages via CRAN, PyPI, and Artifactory, while driving compliance through license scanning, vulnerability management, and SBOM generation. The successful candidate will apply deep technical expertise in R and Python to optimize production-quality code for multilingual data processing and quality-control workflows. By partnering with engineering teams and contributing to life sciences communities like Pharmaverse and PHUSE, this position ensures that open source components meet rigorous security and data governance standards for complex data quality pipelines.