Cloud Operations Engineer

Key Responsibilities

• Monitor the availability, performance, and health of Azure cloud services supporting AI platforms.
• Investigate and resolve production incidents, perform root cause analysis, and implement preventive improvements.
• Support disaster recovery and business continuity initiatives to maintain platform resilience.
• Collaborate with engineering, MLOps, and platform teams to enhance monitoring, automation, and operational best practices.
• Contribute to platform security by supporting compliance, governance, and security monitoring activities.
• Develop and maintain automation using Infrastructure-as-Code and scripting to improve operational efficiency.
• Drive continuous improvements in platform reliability, observability, and operational excellence.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related discipline.
• At least 2 years of experience in cloud infrastructure, cloud operations, or platform administration.
• Hands-on experience with Microsoft Azure and its monitoring tools, including Azure Monitor, Log Analytics, and Application Insights.
• Familiarity with Infrastructure-as-Code tools such as Terraform, Bicep, or ARM templates.
• Experience with scripting using PowerShell and/or Python.
• Basic understanding of Kubernetes (AKS), cloud infrastructure, or AI/ML environments is advantageous.
• Strong analytical and troubleshooting skills with the ability to respond effectively during production incidents.
• Good communication skills and a collaborative mindset.

Interested candidates may apply through the application system or send it to [Confidential Information]. Shortlisted candidates will be notified.

Morgan McKinley Pte Ltd

Ho Ji Keat, Joey

EA Licence No: 11C5502

EA Registration No. R1983255