DevOps Engineer, GPUaaS
Singtel is hiring a DevOps Engineer for its RE:AI division to support its GPU-as-a-Service infrastructure. The role involves designing, deploying, and maintaining large-scale GPU clusters for AI and HPC workloads. Candidates will work with CI/CD pipelines, system monitoring, and infrastructure automation using tools like Kubernetes, Terraform, and Python. The position requires strong Linux administration skills and provides exposure to advanced GPU-accelerated environments.
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Experience
Experience not specified
Function
Engineering
Work mode
Onsite, Singapore
Company
Tier 2
What you will work on
Singtel is hiring a DevOps Engineer for its RE:AI division to support its GPU-as-a-Service infrastructure. The role involves designing, deploying, and maintaining large-scale GPU clusters for AI and HPC workloads. Candidates will work with CI/CD pipelines, system monitoring, and infrastructure automation using tools like Kubernetes, Terraform, and Python. The position requires strong Linux administration skills and provides exposure to advanced GPU-accelerated environments.
TAL's take
Solid tier-2 role in a major infrastructure division, though the role specificity is slightly diluted by the wide breadth of requested technologies.
Clear mission and responsibilities related to GPU infrastructure, though the list of desirable technologies is quite broad.
Must haves
- Bachelor's degree in Computer Science, Engineering, or related field
- Strong Linux system administration skills
- Experience with DevOps tools such as Jenkins, Kubernetes, Ansible and Terraform
- Proficiency in scripting languages (Python, Bash)
- Experience in implementing monitoring solutions such as Zabbix, Prometheus
Tools and skills
Nice to have: mpi, rdma, nccl, docker, slurm, infiniband, roce, dpu, nvidia sdk.
About the company
Large established telecommunications provider with significant regional presence and infrastructure investment, but not a primary high-growth tech-native company.