GPU AI/HPC DevOps Engineer: Build & Auto-Scale Clusters

Singtel

Singapore

On-site

Confidential

Full time

12 days ago

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Job summary

Singtel is seeking a DevOps Engineer to design, deploy and operate GPUaaS infrastructure for AI/HPC workloads. The role spans on-prem and cloud resources, with a focus on automation, monitoring, and robust CI/CD pipelines for GPU-accelerated applications.

You will work with Slurm, Kubernetes, and GPU drivers, contributing to performance optimizations and scalable, secure multi-tenant environments. Strong Linux skills and scripting are essential.

Qualifications

  • Bachelor’s degree in a relevant field.
  • Strong Linux system administration.
  • Experience with DevOps tools (Jenkins, Kubernetes, Ansible, Terraform).
  • Strong CI/CD, automation, and monitoring skills.
  • Scripting in Python or Bash.
  • Experience with monitoring solutions like Zabbix, Prometheus.
  • Familiarity with AI frameworks (TensorFlow, PyTorch).

Responsibilities

  • Design, deploy and support large-scale GPU clusters for AI/ML workloads.
  • Manage provisioning of GPU resources on-prem and cloud.
  • Design and manage CI/CD pipelines for AI models and GPU apps.
  • Monitor cluster usage, health, performance and availability.
  • Automate infrastructure provisioning and monitoring.
  • Troubleshoot Slurm, Kubernetes, GPU drivers, CUDA, IB networking.
  • Set up monitoring/logging with Zabbix, Prometheus, DCGM.
  • Provide technical support to users of GPU-accelerated systems.

Skills

Linux system administration
Jenkins
Kubernetes
Ansible
Terraform
CI/CD
Automation
Monitoring
Python
Bash
Zabbix
Prometheus
TensorFlow
PyTorch

Education

Bachelor’s degree in Computer Science/Engineering or related field

Tools

Docker
Slurm
NVIDIA DCGM
NVIDIA GPU drivers

Job description

Singtel is seeking a DevOps Engineer to design, deploy and operate GPUaaS infrastructure for AI/HPC workloads. The role spans on-prem and cloud resources, with a focus on automation, monitoring, and robust CI/CD pipelines for GPU-accelerated applications.

You will work with Slurm, Kubernetes, and GPU drivers, contributing to performance optimizations and scalable, secure multi-tenant environments. Strong Linux skills and scripting are essential.

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