Our team delivers scientific computing and data-shared infrastructure services supporting research and development organizations to enable science
Job Summary
Our team delivers scientific computing and data-shared infrastructure services supporting research and development organizations to enable science.
The role involves supporting Linux systems, HPC, and scientific applications with a focus on availability, tuning, performance, and continuous improvement using a DevOps approach.
HPE offers a collaborative startup-style culture valuing agility, innovation, continuous learning, and provides comprehensive health, wellbeing, and professional development benefits.
Matching Summary
Our team delivers scientific computing and data-shared infrastructure services supporting research and development organizations to enable science.
Skills & Requirements
Must-have
Linux system administration
High Performance Computing (HPC)
Workload managers like Slurm or LSF
Storage file systems like GPFS or Lustre
Infrastructure automation tools
DevOps platform administration
Scientific Linux application environment
Nice-to-have
Design thinking and lean methodologies
Agile service evolution
Customer centric solutions
Cross-functional teamwork
Continuous improvement mindset
Infrastructure as code tools
Monitoring and observability tools
Key Requirements
Experience as systems engineer in performance cluster environment
Experience with workload managers Slurm or LSF
Experience with storage file systems GPFS or Lustre
Experience with Linux server technologies RedHat, CentOS, Ubuntu
Experience with infrastructure as code tools like Ansible, Jenkins, Puppet
Experience with scripting languages such as Python, shell, YAML
Experience with DevOps principles and agile methodologies