Kerja Sepenuh Masa, Systems Engineer di Fujitsu - Maukerja

Responsibilites:

• Manage the day-to-day operations of the HPE Cray EX supercomputing environment, ensuring high availability, stability, performance, and reliability of HPC services.
• Administer and maintain HPE Cluster Manager (HPCM) for cluster provisioning, monitoring, health management, software deployment, and lifecycle management.
• Manage AMD-based HPE Cray EX compute infrastructure delivering up to 10 PFLOPS of computational performance, ensuring optimal resource utilization and system efficiency.
• Administer and optimize HPE ClusterStor Lustre parallel file system with over 10 PB of storage capacity, ensuring high-performance I/O, data integrity, and storage availability.
• Manage IBM Storage Scale (formerly GPFS) parallel file system with over 15 PB of storage capacity, including performance tuning, capacity planning, and filesystem maintenance.
• Configure, administer, and maintain the PBS Professional workload manager, including queue configuration, scheduling policies, fair-share management, resource allocation, and job troubleshooting.
• Manage and troubleshoot the HPE Slingshot high-speed, low-latency interconnect fabric to ensure efficient communication between compute nodes and storage systems.
• Monitor overall cluster health, identify performance bottlenecks, perform root cause analysis, and implement corrective and preventive actions to maximize system availability.
• Collaborate with infrastructure, storage, networking, and application teams to support HPC platform deployments, upgrades, maintenance activities, and production operations.
• Manage and troubleshoot the HPE Slingshot high-speed, low-latency interconnect fabric to ensure efficient communication between compute nodes and storage systems.
• Monitor overall cluster health, identify performance bottlenecks, perform root cause analysis, and implement corrective and preventive actions to maximize system availability.
• Collaborate with infrastructure, storage, networking, and application teams to support HPC platform deployments, upgrades, maintenance activities, and production operations.
• Provide technical support to a diverse community of researchers, scientists, engineers, and academic users by troubleshooting application, storage, scheduler, and system-related issues.
• Assist users in optimizing HPC applications through performance analysis, job scheduling best practices, parallel computing techniques, and efficient resource utilization.
• Conduct user onboarding sessions, technical workshops, and training programs on HPC environment usage, job submission, parallel file systems, and cluster best practices.
• Perform software installation, upgrades, patch management, and validation for HPC operating systems, middleware, compilers, MPI libraries, and scientific applications.
• Develop and maintain automation scripts using Shell, Python, or similar scripting languages to streamline system administration, monitoring, reporting, and operational tasks.
• Maintain comprehensive operational documentation, standard operating procedures (SOPs), architecture diagrams, and technical knowledge base articles.
• Participate in incident response, planned maintenance activities, disaster recovery exercises, and root cause analysis to ensure continuous improvement of HPC infrastructure.
• Ensure adherence to security policies, operational standards, and best practices while maintaining a secure and highly available HPC environment.
Continuously evaluate emerging HPC technologies and recommend improvements to enhance system performance, scalability, reliability, and operational efficiency.

Requirements:

• 5–7 years of hands-on experience administering High Performance Computing (HPC) environments in enterprise, research, or academic organizations.
• Familiarity with configuration management and automation tools such as Ansible, xCAT, Bright Cluster Manager, or Infrastructure-as-Code solutions is an advantage.
• Understanding of GPU computing technologies (NVIDIA CUDA, AMD ROCm) and accelerator-based HPC environments is an added advantage.