AI Platform DevOps Engineer - Cloud, MLOps & Kubernetes

Xcellink Pte Ltd; Singapore; On-site; SGD 70,000 - 130,000; Full time

Job summary

Xcellink Pte Ltd is seeking an experienced DevOps Engineer to design, build, and maintain scalable AI platforms that support enterprise AI, ML, and Generative AI initiatives in Singapore. This role blends Cloud Engineering, DevOps, Platform Engineering, and MLOps to automate and optimize AI platform operations.

You will collaborate with cloud architects, infrastructure teams, and developers to deliver secure, scalable, and highly available AI platforms using Terraform, Azure/AWS, and modern

Qualifications

• Diploma or Degree in Information Technology, Computer Science, Computer Engineering, or related discipline.
• Minimum 3 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Automation.
• Strong hands‑on experience with Terraform and Infrastructure-as-Code.
• Experience building and maintaining CI/CD pipelines.
• Strong knowledge of Docker and Kubernetes.
• Hands‑on experience with Azure and/or AWS cloud platforms.
• Scripting experience in Python, PowerShell, Bash, or Shell scripting.
• Knowledge of Git, version control, and DevOps best practices.
• Experience supporting AI/ML platforms, MLOps environments, or Generative AI workloads is advantageous.

Responsibilities

• Design, implement, and manage cloud infrastructure using Terraform and IaC practices.
• Build and maintain AI platform environments across Azure and AWS.
• Develop and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, or Jenkins.
• Automate application and platform deployments using DevOps and GitOps methodologies.
• Support AI/ML and Generative AI workloads including deployment, monitoring, and lifecycle management.
• Manage containerized environments using Docker and Kubernetes.
• Implement platform monitoring, logging, observability, security, and governance best practices.
• Support MLOps capabilities including model deployment, versioning, monitoring, and automation.
• Collaborate with engineering, security, and architecture teams to improve platform reliability and operational efficiency.
• Troubleshoot infrastructure, performance, security, and platform-related issues.

Skills

Terraform expertise

CI/CD pipelines

Docker & Kubernetes

Python / Bash scripting

Cloud platforms

Git version control

MLOps familiarity

Education

Diploma or Degree in IT/CS/Engineering

Tools

Terraform

Azure DevOps

GitHub Actions

GitLab CI

Jenkins

Docker

Kubernetes

Prometheus/Grafana

Azure Monitor

Job description

Xcellink Pte Ltd is seeking an experienced DevOps Engineer to design, build, and maintain scalable AI platforms that support enterprise AI, ML, and Generative AI initiatives in Singapore. This role blends Cloud Engineering, DevOps, Platform Engineering, and MLOps to automate and optimize AI platform operations.

You will collaborate with cloud architects, infrastructure teams, and developers to deliver secure, scalable, and highly available AI platforms using Terraform, Azure/AWS, and modern