Scheduled Hours
40
Position Summary
Join us as an HPC Engineering Intern (DevOps) and get hands‑on with the infrastructure that powers large‑scale computing: you’ll help automate and harden cluster provisioning and configuration using tools like Ansible and container platforms, build and extend monitoring and alerting dashboards to surface performance and health metrics, write and maintain clear runbooks and documentation, and collaborate with engineers to troubleshoot real production problems—all while receiving mentorship, learning industry‑grade tooling, and building tangible projects for your resume.
Job Description
Primary Duties & Responsibilities:
Level up automation — Convert legacy scripts into Ansible playbooks to help move our infrastructure toward Infrastructure as Code.
Build a single pane of glass — Create custom dashboards in Datadog that surface high‑level system health and daily highlights.
Refine the playbook — Update and improve operational procedures and runbooks so daily tasks are clear, accurate, and easy to follow.
Test and debug — Validate and troubleshoot code and automation to ensure reliable operation of HPC workflows and AI pipelines.
Integrate AI workloads — Assist with integrating AI algorithms into existing systems and CI/CD pipelines for scientific and production workloads.
Collaborate and learn — Work closely with engineers, receive mentorship, and document your work so others can reproduce and build on it.
Working Conditions:
Job Location/Working Conditions
Physical Effort
Equipment
The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.
Required Qualifications
Education:
A diploma, certification or degree is not required.
Certifications/Professional Licenses:
No specific certification/professional license is required for this position.
Work Experience:
No specific work experience is required for this position.
Skills:
Not Applicable
Driver's License:
A driver's license is not required for this position.
More About This Job
WashU seeks highly motivated individuals who are able to perform duties in a manner consistent with our core mission and guiding principles.
Preferred Qualifications
Education:
No additional education unless stated elsewhere in the job posting.
Certifications/Professional Licenses:
No additional certification/professional licenses unless stated elsewhere in the job posting.
Work Experience:
No additional work experience unless stated elsewhere in the job posting.
Skills:
Analytical Thinking, Ansible (Software), Bash (Scripting Language), Communication, Dashboard Development, Data Analysis, GitHub, Independent Learning, Independent Problem Solving, IT Documentation, Performance Monitoring, Python (Programming Language), Self Reliance, Work Collaboratively, Working Independently
Grade
G11-H
Questions
For frequently asked questions about the application process, please refer to our External Applicant FAQ.
Accommodation
If you are unable to use our online application system and would like an accommodation, please emailCandidateQuestions@wustl.eduor call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.
All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship.
Pre-Employment Screening
All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.
EEO Statement
Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University’s policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.
