Open Source Engineer

Role: Open Source Engineer

Location: Pleasanton, CA - HybridJD:We're hiring a self-motivated Open Source Engineer to build, automate, and operate secure, scalable infrastructure for a modern medical research and laboratory environment. You'll focus on medical imaging, laboratory systems, data processing, and research workflows in a regulated, HIPAA-compliant setting. The right candidate brings deep Python and Linux automation skills and is comfortable working across Kubernetes, virtualized, and mixed-OS environments.

Key Responsibilities: Build and maintain production-grade automation in Python and shell, including workflow orchestration with Apache Airflow, secure data transfers (SFTP), and reliability improvements. Design, deploy, and operate on-prem Kubernetes clusters (Rancher RKE2 preferred), manage Helm deployments, and handle secrets with HashiCorp Vault. Administer Linux/UNIX systems (RHEL 9.x focus): OS patching, lifecycle management, security hardening, and Ansible automation. Create repeatable VM provisioning pipelines and standardized system builds; support mixed Linux and Windows environments as required. Develop and maintain medical imaging workflows (DICOM query/retrieve, image pulls, storage, automated de-identification) using tools such as Orthanc, DCMTK, or CTP.Support laboratory and research platforms, including LIMS infrastructure, data ingestion workflows, and Windows batch/integration scripts when needed. Install, test, upgrade, and maintain research and enterprise applications across test and production environments (examples: LIMS, JBOSS-based systems, Appian, data analysis tools).Provision and optimize storage access (NFS, S3) and integrate with high-performance storage solutions (Weka, VAST, EMC).Manage Jupyter, R, and RStudio environments, including package management and researcher support. Implement and maintain GitLab-based CI/CD pipelines, infrastructure-as-code, and version-controlled operational runbooks. Ensure systems meet HIPAA, CAP, and ISO compliance requirements - maintain documentation, change control, audit evidence, and traceability. Provide senior-tier Linux/UNIX support to technical teams and researchers, mentor staff, and document operational best practices. Operate independently across multiple concurrent efforts; adapt to evolving laboratory and research needs.

Required Qualifications: Advanced Python automation skills; strong Bash/shell scripting experience. Hands-on Linux administration experience (RHEL preferred), including patching, security, and lifecycle management. Proven experience managing on-prem Kubernetes platforms and Helm-based deployments. Solid understanding of Apache Airflow, HashiCorp Vault, and workflow-driven automation. Experience supporting DICOM-based medical or research imaging systems. Working knowledge of NFS and S3 storage models and high-performance storage environments. Demonstrated experience supporting regulated research or healthcare systems, with audit and compliance readiness. Proficiency with GitLab repositories, CI/CD pipelines, and automation workflows. Strong communication, documentation, and cross-disciplinary collaboration skills.