DevOps Engineer AI Platform and Cloud - NIVABIZ PTE. LTD.

OpenTalent; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

NivaBiz is seeking an experienced DevOps Engineer to design, build, and operate scalable AI platforms that support deployment, management, and monitoring of AI solutions across enterprise environments.

The ideal candidate should possess strong expertise in Infrastructure as Code using Terraform, CI/CD automation, cloud-native technologies, and a solid understanding of AI, Machine Learning, and Generative AI ecosystems.

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 working with Docker and Kubernetes.
• Proficiency in at least one cloud platform: Microsoft 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.

Responsibilities

• Design, implement, and maintain cloud infrastructure using Terraform and IaC 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, Machine Learning, 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, OpenAI APIs, 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, Identity and Access Management, 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

DevOps

CI/CD

Scripting (Python/PowerShell/Bash)

Education

Bachelor's or Diploma in IT/CS/related

Tools

Terraform

Docker

Kubernetes

Azure

AWS

Git

CI/CD tools

Job description

JOB SUMMARY

NivaBiz is seeking an experienced DevOps Engineer to design, build, and operate scalable AI platforms that support the deployment, management, and monitoring of AI and Generative AI solutions across enterprise environments.

The ideal candidate should possess strong expertise in Infrastructure as Code using Terraform, CI/CD automation, cloud-native technologies, and a solid understanding of AI, Machine Learning, and Generative AI ecosystems.

The successful candidate will work closely with infrastructure engineers, application teams, cloud architects, security teams, and other stakeholders to deliver secure, reliable, and scalable AI platforms.

KEY 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, Machine Learning, 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, OpenAI APIs, 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, Identity and Access Management, secrets management, and compliance controls.


• Ensure platform reliability, observability, logging, and monitoring.


• Collaborate with security and governance teams to enforce enterprise standards.

REQUIREMENTS

• 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 working with Docker and Kubernetes.


• Proficiency in at least one cloud platform: Microsoft 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.