Cloud DevOps Engineer (Azure/AI)

Location: Harbourfront

Key Responsibilities

• Design, automate and manage Azure cloud infrastructure using Infrastructure as Code (Terraform), ensuring scalable and consistent deployments.
• Build and maintain CI/CD pipelines, implement DevSecOps practices, and improve deployment reliability through automation.
• Deploy and support containerised applications using Kubernetes, GitOps and modern cloud-native platform engineering practices.
• Develop monitoring, logging and observability solutions to improve platform performance, reliability and operational visibility.
• Support AI initiatives by enabling AI platforms, integrating AI services, and implementing intelligent automation solutions.
• Administer Azure infrastructure, identity, networking, backup, disaster recovery, and provide operational support, troubleshooting and root cause analysis.

Requirements

• Min. 4 - 7 years of experience with Microsoft Azure cloud services and enterprise infrastructure.
• Experience with Terraform or other Infrastructure as Code (IaC) tools.
• Experience designing and maintaining CI/CD pipelines, DevOps and DevSecOps practices.
• Hands-on experience with Docker, Kubernetes and cloud-native platforms.
• Good understanding of Azure networking, identity management, security and monitoring solutions.
• Strong troubleshooting, analytical and problem-solving skills, with a passion for automation and modern cloud technologies.

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Elaine Wong (Zoe) l Outsourcing Team

ScienTec Consulting Pte Ltd - 11C5781