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AI / Cloud Support Engineer

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  • Posted 12 hours ago
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Job Description

Role Overview

This is an offshore support role providing day-to-day operational support and L2/L3 troubleshooting for the Microsoft Azure cloud platform and AI services that underpin an enterprise Agentic AI solution. The role keeps the live environment healthy across non-production and production — handling incidents, service requests, deployments, and routine operations — and works closely with platform and MLOps engineering within a follow-the-sun delivery model.

Key Responsibilities

  • Provide L2/L3 operational support for Azure platform services including Service Bus, Managed Redis, Cosmos DB, API Management, Azure Functions, Key Vault, and Storage.
  • Monitor platform and AI service health using Application Insights, Azure Monitor, and Dynatrace, and respond to alerts using KQL-based log analysis.
  • Triage, diagnose, and resolve incidents, perform root cause analysis, and escalate to engineering when required.
  • Support the AI agent runtime (Azure Functions / orchestration) and the consumption of a centrally-managed AI foundry / Cognitive Services offering.
  • Support MLOps pipelines and AI model/prompt deployment operations, and assist with CI/CD pipeline runs using GitHub Actions.
  • Assist with Terraform-based configuration and platform changes under change management.
  • Support operational health of integration endpoints such as Kafka consumers and API Management.
  • Maintain operational runbooks and knowledge-base articles, and track incident and request metrics against SLAs.
  • Provide follow-the-sun / on-call coverage through a rotation schedule.

Qualifications & Experience

  • 4+ years experience in cloud operations or application support on Microsoft Azure.
  • Hands-on experience with Azure PaaS services and platform diagnostics.
  • Familiarity with AI/LLM services such as Azure OpenAI or Cognitive Services.
  • Experience with monitoring tools such as Application Insights, Azure Monitor, and Dynatrace, and with KQL.
  • Exposure to CI/CD pipelines and Infrastructure as Code (Terraform).
  • Proficiency in scripting with PowerShell, Python, or Bash.
  • Experience with ITIL-based incident, problem, and change management.
  • Strong communication and stakeholder engagement skills.
  • Bachelor's degree in Computer Science, Information Technology, or a related discipline.

Preferred Skills

  • Microsoft Azure certification such as AZ-104.
  • Exposure to MLOps pipelines or AI/LLM platform operations.
  • Familiarity with Terraform and GitHub Actions.
  • Experience supporting agentic AI or LLM platforms.
  • Experience working within follow-the-sun support models.

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About Company

Job ID: 150892675