Cloud DevOps Engineer (Azure/AI)

SCIENTEC CONSULTING PTE. LTD.; Singapore; On-site; SGD 134,000 - 212,000; Full time

Job summary

ScienTec Consulting Pte. Ltd. in HarbourFront, Singapore, seeks an experienced Azure Cloud Engineer to design, automate and manage enterprise Azure infrastructure and platform services.

You will implement IaC with Terraform, build CI/CD pipelines with DevSecOps, run containerised workloads on Kubernetes, and enhance observability while supporting AI initiatives.

This role requires strong troubleshooting, automation passion, and collaboration with security and product teams.

Qualifications

• 4–7 years of hands-on experience with Microsoft Azure cloud services and enterprise infrastructure.
• Experience with Terraform or other IaC tools.
• Experience designing and maintaining CI/CD pipelines, DevOps and DevSecOps practices.
• Hands-on experience with Docker, Kubernetes and cloud-native platforms.
• Strong knowledge of Azure networking, identity, security and monitoring.

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.

Skills

Automation mindset

Analytical thinking

Problem-solving

Team collaboration

Tools

Terraform

Docker

Kubernetes

GitOps

CI/CD tooling

Job description

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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