#SGunited Jobs AI Platform Operations Engineer

Job Summary

You will operate and optimize Azure AI cloud platform operations, ensuring high availability, security, and business continuity. Collaborate with cross-functional teams to integrate automation and observability, driving continuous operational excellence.

Responsibilities

• Monitor Azure AI cloud platform availability and detect outages to minimize downtime and operational risks
• Respond to incidents and perform root cause analysis to support rapid recovery and business continuity
• Implement disaster recovery strategies to safeguard critical AI workloads
• Support security audits and compliance reporting to align with policies, regulatory frameworks, and industry best practices
• Collaborate with MLOps, LLMOps, and engineering teams to integrate automation, observability, and security best practices into platform operations and AI/ML workflows
• Drive continuous improvement initiatives in platform operations through automation and enhanced observability
• Use infrastructure-as-code tools (Terraform, Bicep, ARM) and automation scripting (PowerShell, Python) to maintain and optimize cloud infrastructure
• Apply knowledge of AI/ML infrastructure components such as AKS, GPU VMs, data pipelines, and model hosting to meet operational demands
• Demonstrate problem-solving and communication skills to lead effectively during high-pressure incident scenarios
• Anticipate potential failure scenarios and develop effective response plans to mitigate risks

Preferred competencies and qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 1-2 years of experience in cloud administration and/or operations; fresh graduates are encouraged to apply
• Expertise in Azure operations and monitoring services including Azure Monitor, Log Analytics, and Application Insights