#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