Open Source Engineer

JD:

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.

Preferred Qualifications

• Hands-on experience with LIMS platforms, laboratory instrument integrations, or imaging research workflows.
• Experience supporting data science platforms or research computing environments.
• Familiarity with Windows batch scripting for laboratory/data ingestion workflows.
• Prior experience in healthcare, research, or regulated laboratory environments.