GPU AI Cloud DevOps Engineer

Singtel Group; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Full suite of health and wellness benefits

Ongoing training and development programs

Internal mobility opportunities

Job summary

A leading telecommunications company in Singapore is seeking a DevOps Engineer to enhance its GPU-as-a-Service (GPUaaS) operations. The role involves designing and supporting GPU clusters for AI workloads, implementing CI/CD pipelines, and troubleshooting compute resources. Candidates should possess a Bachelor's degree in a related field and experience with DevOps tools like Jenkins and Kubernetes. This position offers health benefits and opportunities for career growth in a dynamic environment.

Qualifications

• Experience with implementing CI/CD pipelines.
• Strong understanding of automation and monitoring solutions.
• Knowledge of AI frameworks such as TensorFlow and PyTorch.

Responsibilities

• Design and support large-scale GPU clusters for AI and ML workloads.
• Implement CI/CD pipelines for applications.
• Troubleshoot system-level compute resource issues.

Skills

Experience with DevOps tools such as Jenkins

Solid understanding of DevOps practices

Proficiency in scripting languages

Strong technical problem solving

Team player with cross‑functional coordination

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Kubernetes

Terraform

Ansible

Python

Bash

Zabbix

Prometheus

Job description

A leading telecommunications company in Singapore is seeking a DevOps Engineer to enhance its GPU-as-a-Service (GPUaaS) operations. The role involves designing and supporting GPU clusters for AI workloads, implementing CI/CD pipelines, and troubleshooting compute resources. Candidates should possess a Bachelor's degree in a related field and experience with DevOps tools like Jenkins and Kubernetes. This position offers health benefits and opportunities for career growth in a dynamic environment.