Position Summary
The Research Data Infrastructure Technician is a temporary position in the Research Data Management Core ( RDMC ) unit that performs technical infrastructure support functions. Reporting to the Senior Infrastructure Engineer this position follows established protocols to deploy configure and maintain research data management infrastructure in support of RDMC services. These activities contribute to a unified campus-wide ecosystem of research data management and sharing infrastructure and services that promote compliance with funding agency policies and support the goals of open and reproducible research. The Research Data Infrastructure Technician has experience in systems administration scripting and cloud infrastructure with a working knowledge of tools such as Azure Ansible and Terraform. They are familiar with research data platforms such as Dataverse REDCap Globus and iRODS and are capable of supporting deployments and integrations involving APIs databases and storage systems. The technician is also expected to work collaboratively with IT professionals and data architects to support infrastructure needs across a variety of research projects. The primary purpose of the Research Data Infrastructure Technician position is to: 1. deploy and configure infrastructure to support research data platforms and services; 2. develop and maintain automation scripts and CI/CD pipelines; 3. document infrastructure configurations and deployment procedures; and 4. collaborate with RDMC and campus IT staff to support infrastructure operations and project-specific needs.
Required Qualifications Competencies And Experience
- Demonstrated experience with Linux/ UNIX system administration and scripting (e.g. Bash Python) for infrastructure deployment and automation. - Hands-on experience with cloud infrastructure (preferably Azure) including provisioning configuration and monitoring. - Familiarity with infrastructure-as-code tools such as Ansible and Terraform. - Experience supporting or deploying research data platforms such as Dataverse REDCap Globus and iRODS. - Working knowledge of CI/CD pipelines and DevOps practices. - Ability to work with APIs databases and storage systems in a research or enterprise environment. - Strong technical documentation skills and a commitment to reproducible infrastructure practices. - Excellent communication skills and the ability to collaborate across interdisciplinary teams.
Preferred Qualifications Competencies And Experience
- Course work in computer science information systems engineering or a related field or equivalent combination of education and experience. - Experience deploying or supporting research data platforms (e.g. Dataverse REDCap Globus iRODS) in academic or research settings. - Familiarity with research computing environments such as HPC clusters container orchestration (e.g. Docker Kubernetes) or hybrid cloud deployments. - Understanding of infrastructure security identity and access management and compliance frameworks relevant to research data. - Demonstrated ability to write and maintain clear reproducible technical documentation for infrastructure and automation. - Awareness of emerging trends in research data infrastructure DevOps practices and institutional IT governance. - Flexibility to work across diverse technical projects and adapt to shifting priorities.
Work Schedule
Flexible scheduling 30 hours per week / Monday Friday 9:00 AM 5:00 PM. Flexible work location hours with a minimum of 3 in-office days per week and additional in-office days as work duties require.
Required Experience:
Staff IC