DevOps Engineer (Azure/AI)

Location: Harbourfront Key ResponsibilitiesDesign, 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.RequirementsMin. 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.By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).This authorizes us to:• Contact you about potential opportunities.• Delete personal data as it is not required at this application stage.All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.Elaine Wong (Zoe) l Outsourcing TeamScienTec Consulting Pte Ltd - 11C5781