AI Platform & Cloud DevOps Engineer

Nivabiz; Singapore; Hybrid; SGD 90,000 - 150,000; Full time

Job summary

Nivabiz is seeking an experienced DevOps Engineer to design, build, and operate scalable AI platforms across Azure and AWS. You will implement Terraform IaC, CI/CD pipelines, and robust observability for AI/ML workloads, with a focus on security and governance.

The role collaborates with infrastructure engineers, cloud architects, and security teams to deliver reliable, scalable platforms for enterprise AI solutions.

Qualifications

• Diploma or Degree in Information Technology, Computer Engineering, or a related discipline.
• Minimum three years of experience in Cloud Engineering, Platform Engineering, DevOps, or Infrastructure Automation.
• Hands-on experience with Terraform and Infrastructure as Code.
• Strong experience designing and managing CI/CD pipelines.
• Experience with Docker and Kubernetes.
• Proficiency in at least one cloud platform: Azure or AWS.
• Experience with scripting languages such as Python, PowerShell, Bash, or Shell scripting.
• Strong understanding of Git, version control, and software-delivery best practices.
• Experience supporting AI/ML platforms and MLOps environments.
• Knowledge of Large Language Models and Generative AI.
• Experience with Azure OpenAI Service, Azure ML, or AWS Bedrock.
• Knowledge of monitoring and observability tools such as Prometheus, Grafana, Azure Monitor, Datadog, or Splunk.
• AI, Cloud, Kubernetes, Terraform, or DevOps certifications will be advantageous.
• Good working knowledge of DevOps, GitHub Actions, GitLab CI/CD, Jenkins, Git, Docker, and Kubernetes.

Responsibilities

• Design, implement, and maintain cloud infrastructure using Terraform and Infrastructure as Code principles.
• Build and manage AI platform environments across Microsoft Azure and AWS.
• Develop reusable Terraform modules and infrastructure standards.
• Implement infrastructure automation to improve scalability, reliability, and operational efficiency.
• Design and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins.
• Automate build, testing, deployment, and release processes for AI and application workloads.
• Implement GitOps and DevSecOps best practices.
• Support the deployment and lifecycle management of AI, ML, and Generative AI applications.
• Build and maintain MLOps capabilities, including model deployment, versioning, monitoring, and governance.
• Enable integration with AI services such as Azure OpenAI, Azure AI Services, AWS Bedrock, or Vertex AI.
• Deploy and manage containerised workloads using Docker and Kubernetes.
• Maintain scalable Kubernetes environments for AI and enterprise applications.
• Troubleshoot performance, security, and reliability issues within container platforms.
• Implement cloud-security best practices, IAM, secrets management, and compliance controls.
• Ensure platform reliability, observability, logging, and monitoring.
• Collaborate with security and governance teams to enforce enterprise standards.

Skills

Cloud engineering

CI/CD practices

Scripting

Git workflows

Collaborative work

Education

Diploma or Degree in IT/Computer Engineering

Tools

Terraform

Docker

Kubernetes

Azure

AWS

GitHub Actions

GitLab CI/CD

Jenkins

Prometheus

Grafana

Azure Monitor

Datadog

Splunk

Job description

Nivabiz is seeking an experienced DevOps Engineer to design, build, and operate scalable AI platforms across Azure and AWS. You will implement Terraform IaC, CI/CD pipelines, and robust observability for AI/ML workloads, with a focus on security and governance.

The role collaborates with infrastructure engineers, cloud architects, and security teams to deliver reliable, scalable platforms for enterprise AI solutions.