$85,000 – $85,000Full Time
Job Description
Reporting to the Director for IT Operations , the Systems Engineer, designs, builds, and maintains on-premise and cloud-based infrastructure supporting library systems and research computing. Maintains production services including repository platforms, search and indexing systems, metadata pipelines (including ML/AI-driven metadata generation workflows), and associated data stores. Develops automated deployment and configuration workflows using infrastructure-as-code and configuration management practices, ensuring that systems are configured and operated in accordance with university policy and standard security practices. Supports containerized services and contributes to deployment practices and orchestration platforms. Works with library faculty to provision and maintain computational environments, including GPU-backed systems for machine learning workloads.
Required Qualifications
-Bachelor’s degree in computer science, computer engineering, information science, or a related field, (or a Bachelor’s in another field with equivalent professional experience directly related to the position).
-Experience administering Linux-based systems, including networking, security practices, and system performance management, as demonstrated through professional experience, academic coursework, or applied projects.
-Experience with version control workflows using Git in a collaborative environment, including branching strategies, pull requests, code review, and integration with CI/CD pipelines in team-based projects.
-Demonstrated scripting experience in languages such as Bash, Python, or Powershell for automation and systems integration. Evidence may include development of scripts or small utilities that automate system administration tasks, interact with APIs, or support data or metadata processing workflows.
-Experience deploying and managing containerized applications using Docker, including building images, defining services with Dockerfiles or Compose, managing multi-service deployments, and troubleshooting containerized environments.
-Experience working independently and in coordination with other engineers on diagnosing and resolving system-level issues, debugging production or lab environments, analyzing logs and system metrics.
Preferred Qualifications
-Experience supporting research computing or digital scholarship environments, including repository systems, metadata workflows, or data/ML processing pipelines.
-Experience with cloud services, including compute, networking, and storage (e.g., S3, Glacier).
-Experience building or maintaining CI/CD pipelines (e.g., GitLab CI or similar systems).
-Experience with infrastructure-as-code concepts and tools (e.g., Terraform or equivalent).
-Experience with centralized logging and monitoring platforms (e.g., Splunk or equivalent).
-Experience working with storage systems, including network-attached storage or distributed storage platforms (e.g., TrueNAS, Ceph).
-Experience supporting GPU-backed compute environments for machine learning training or inference workloads.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Regular
Salary Information
$85,000 minimum dependent on qualifications and experience
Hours per week
40
Review Date
6/10/26
Additional Information
The application package needs to include a resume, cover letter addressing the candidate’s experience with the responsibilities associated with the position, and the required and preferred qualifications, and the names of three(3) references and their contact information.
PORTFOLIO REQUIREMENT:
To be considered, applicants are required to submit a portfolio that demonstrates experience related to the Required Qualifications. The portfolio or a URL to the portfolio must be submitted separately from the résumé. Portfolio materials may include professional, educational, or personal projects.
Examples of appropriate portfolio content may include, but are not limited to:
-Infrastructure: Documentation demonstrating experience with virtualization technologies, storage solutions, and other core infrastructure services. Materials should include architecture diagrams, tools utilized, security considerations, and relevant configuration documentation.
-Configuration and Automation: Examples of scripts or automation tools used for provisioning, backups, or other repeatable tasks; configuration-as-code samples; or continuous integration/continuous delivery (CI/CD) workflows.
-Security: Sample firewall configurations, backup and recovery processes, patch management workflows, or other documentation or code illustrating the implementation of layered security practices.
-Troubleshooting: Documentation of a representative technical issue, including diagnostic approach, tools used, resolution steps, and actions taken to prevent future occurrences.
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Rebecca Osborne at Rebeccaao@vt.edu during regular business hours at least 10 business days prior to the event.
