Job Description
You will be part of the dynamic team responsible for building resilient network infrastructure using cutting-edge technologies such as cloud-based and software-defined networking e.g. SD-WAN, ACI and NSX. You must have a good understanding of IT infrastructure systems, and knowledge in the latest networking technologies and platforms. You will be a technical specialist in a team, and must be keen to take on new challenges and keep abreast with rapidly evolving technology landscape.
Requirements (Minimum Qualifications)
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- 8+ years of experience in managing HPC systems, including experience with Linux, Unix, or other operating systems.
- Strong knowledge of HPC architectures, including clusters, grids, and clouds.
- Experience with HPC job scheduling systems, such as Slurm, Torque and LSF.
- Strong understanding of storage systems, including SANs, NAS, and object storage.
- Experience with high-performance networking, including InfiniBand, Ethernet, and other interconnects.
- Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud.
- Experience with scripting languages, such as Python, Perl, or Bash.
- Experience with containerization (Docker, Kubernetes) and proficient in a range of complementary technologies, including Knative, Run:AI, Grafana, Prometheus, Kyverno, ArgoCD, Rancher, NVIDIA BCM and knowledge of NVIDIA Superpod architecture.
- Experience in leading engineering teams.
Responsibilities
- Lead a team to deliver resilient, scalable and secure HPC platform, including compute nodes, storage systems, networks and job scheduling systems.
- Lead, design, implement and manage the HPC infrastructure platform to meet organisational needs.
- Design and implement storage solutions for HPC workloads to ensure efficient data storage and retrieval.
- Design and implement high-performance networking solutions, including InfiniBand, Ethernet, and other interconnects.
- Plan and manage HPC resource capacity, including forecasting, procurement and deployment of new hardware and software.
- Manage HPC clusters, including optimizing, monitoring and troubleshooting cluster performance, as well as managing job scheduling and resource allocation.
- Ensure the security and compliance of the HPC infrastructure platform, including managing access controls, implementing security patches, and conducting regular security checks.
- Collaborate with stakeholders like data scientists and developers to optimize application performance on the HPC platform and provide technical support on using the HPC infrastructure platform.
As CSIT is an agency under the Ministry of Defence (Singapore), only Singapore Citizens will be considered.
Responsibilities
Responsibilities
- Lead a team to deliver resilient, scalable and secure HPC platform, including compute nodes, storage systems, networks and job scheduling systems.
- Lead, design, implement and manage the HPC infrastructure platform to meet organisational needs.
- Design and implement storage solutions for HPC workloads to ensure efficient data storage and retrieval.
- Design and implement high-performance networking solutions, including InfiniBand, Ethernet, and other interconnects.
- Plan and manage HPC resource capacity, including forecasting, procurement and deployment of new hardware and software.
- Manage HPC clusters, including optimizing, monitoring and troubleshooting cluster performance, as well as managing job scheduling and resource allocation.
- Ensure the security and compliance of the HPC infrastructure platform, including managing access controls, implementing security patches, and conducting regular security checks.
- Collaborate with stakeholders like data scientists and developers to optimize application performance on the HPC platform and provide technical support on using the HPC infrastructure platform.
Requirements
Requirements (Minimum Qualifications)
- Bachelor's degree in Computer Science, Computer Engineering, or a related field.
- 8+ years of experience in managing HPC systems, including experience with Linux, Unix, or other operating systems.
- Strong knowledge of HPC architectures, including clusters, grids, and clouds.
- Experience with HPC job scheduling systems, such as Slurm, Torque and LSF.
- Strong understanding of storage systems, including SANs, NAS, and object storage.
- Experience with high-performance networking, including InfiniBand, Ethernet, and other interconnects.
- Experience with cloud computing platforms, such as AWS, Azure, or Google Cloud.
- Experience with scripting languages, such as Python, Perl, or Bash.
- Experience with containerization (Docker, Kubernetes) and proficient in a range of complementary technologies, including Knative, Run:AI, Grafana, Prometheus, Kyverno, ArgoCD, Rancher, NVIDIA BCM and knowledge of NVIDIA Superpod architecture.
- Experience in leading engineering teams.
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