Azure DevSecOps Engineer for Secure AI Platforms

MEINHARDT (SINGAPORE) PTE LTD; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading engineering firm in Singapore is seeking a Cloud DevSecOps Engineer to enhance AI product security and automation. The ideal candidate will design secure Azure infrastructures and implement DevSecOps practices in a collaborative environment. Key qualifications include a Master’s degree in Computer Science or Cybersecurity and hands-on experience in Azure, Terraform, and CI/CD pipelines. This opportunity offers professional growth in AI infrastructure and engaging with cutting-edge technologies.

Benefits

Opportunity to work on cutting-edge AI products

Collaborative environment

Professional growth with mentorship

Qualifications

• 2–4 years of relevant professional experience in cloud security or DevOps.
• Strong hands-on experience with Azure cloud services and Terraform.
• Knowledge of security best practices, IAM, and encryption.

Responsibilities

• Design and maintain secure, scalable Azure cloud environments.
• Develop and maintain Terraform scripts for Infrastructure-as-Code.
• Embed security practices into DevOps pipelines.

Skills

Azure cloud services

Terraform

CI/CD pipelines

Cloud security

DevOps automation

Education

Master’s degree in Computer Science or Cybersecurity

Tools

Docker

Kubernetes

Job description

A leading engineering firm in Singapore is seeking a Cloud DevSecOps Engineer to enhance AI product security and automation. The ideal candidate will design secure Azure infrastructures and implement DevSecOps practices in a collaborative environment. Key qualifications include a Master’s degree in Computer Science or Cybersecurity and hands-on experience in Azure, Terraform, and CI/CD pipelines. This opportunity offers professional growth in AI infrastructure and engaging with cutting-edge technologies.