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Systems Engineer (CBDS/HPC)

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Job Description

This position is for a Systems Engineer at Duke-NUS Medical School's Centre for Biomedical Data Science, focusing on maintaining and upgrading the center's servers and HPC clusters within a Linux environment. Key responsibilities include installing, configuring, and managing Linux operating systems, ensuring system security, performing data backups, and providing technical support to research staff. A Bachelor's or Master's degree in IT or a related field and proficiency in Linux, Bash, R, and Python are required.

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Requirements

  • We regret that only shortlisted candidates will be notified.
  • Bachelor’s or Master’s Degree in IT/Computer Engineering/Computer Science or equivalent. Candidates with higher credentials may be considered for more senior appointments.
  • Ability to work extensively in Linux operating system environments such as Fedora/Red Hat/Rocky Linux and Ubuntu/Debian, or equivalent distributions.
  • Proficiency in Bash, R, and Python.
  • Experience with operating system–level virtualisation technologies such as Apptainer/Singularity and Docker is an advantage.
  • Familiarity with HPC cluster management tools such as NVIDIA Base Command Manager or Warewulf is an advantage.
  • Knowledge of job scheduling and workload management in HPC environments, such as Slurm or PBS, is an advantage.
  • Experience with installation and configuration of the Open OnDemand HPC web portal is an advantage.
  • Experience in implementing user authentication by integrating Linux systems with Microsoft Azure AD (now Microsoft Entra ID) is an advantage.

About This Position

Where is this position based?

The position is based at National University of Singapore (NUS), in Singapore, SG. Check the job description above for flexible or hybrid arrangements.

How do I apply for this job?

Click the Apply button on this page — it takes you to National University of Singapore (NUS)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.