GPUaaS DevOps Engineer for AI & HPC
Singtel
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Job summary
Singtel is seeking an DevOps Engineer for its GPU-as-a-Service (GPUaaS) within the RE:AI division. You will design and operate large GPU clusters for AI/ML workloads, automate provisioning, and build CI/CD pipelines for AI models.
You will monitor performance and troubleshoot GPU frameworks, drivers, and networking in a multi-tenant cloud environment. You will collaborate with software and admin teams, enhance automation, and support users of GPU-accelerated systems across on‑prem and cloud
Qualifications
- Bachelor’s degree in CS/Engineering or related field.
- Strong Linux system administration skills.
- Experience with Jenkins, Kubernetes, Ansible, Terraform.
- CI/CD, automation and monitoring principles.
Responsibilities
- Design, deploy and support large-scale GPU clusters for AI/ML workloads.
- Automate provisioning of GPU resources on‑prem and cloud.
- Implement CI/CD pipelines for AI models and GPU apps.
- Monitor cluster health, performance and availability.
- Troubleshoot Slurm, Kubernetes, GPU drivers and CUDA.
- Ensure security for multi-tenant GPUaaS environments.
- Collaborate with software and admin teams to streamline workflows.
- Provide user support for GPU-accelerated systems.
Skills
Education
Tools
Job description
Singtel is seeking an DevOps Engineer for its GPU-as-a-Service (GPUaaS) within the RE:AI division. You will design and operate large GPU clusters for AI/ML workloads, automate provisioning, and build CI/CD pipelines for AI models.
You will monitor performance and troubleshoot GPU frameworks, drivers, and networking in a multi-tenant cloud environment. You will collaborate with software and admin teams, enhance automation, and support users of GPU-accelerated systems across on‑prem and cloud
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