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AI Infrastructure Ops engineer

3-5 Years
SGD 5,500 - 7,500 per month
Early Applicant
  • Posted a month ago
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Job Description

We are looking for an AI-driven AutomationEngineer to build and implement self-healing infrastructure automation usingAI, RPA, and orchestration tools.

This role focuses on event-driven automation,integrating tools like Ansible, AI models, and infrastructure platforms to movefrom manual operations to intelligent automation.

Role

  • Develop AI-enabled automation workflows for incident detection, analysis, and remediation
  • Build event-driven automation pipelines (Detect → Analyze → Trigger → Remediate)
  • Integrate AI models (e.g., OpenAI /LLM) for intelligent decision-making and root cause analysis
  • Develop Ansible playbooks for automated remediation and configuration management
  • Automate infrastructure across domains (Unix, Network, Wintel, Firewall)
  • Integrate automation with orchestration tools (Ansible Tower, APIs)
  • Implement key AI use cases such as:
  • Backup failure analysis & auto-remediation Intelligent incident handling
  • Work with APIs (e.g., NetBackup) and system integration
  • Integrate: Monitoring tools (Elastic / Dynatrace)CMDB (Device42)AI platforms (OpenAI / Claude)
  • Build end-to-end AI+ automation ecosystem across tools
  • Work closely with infra platform teams to build shared automation capability
  • Drive Build → Upskill → Transfer model to domain teams

Requirements

  • Minimum of 3 years of experience in IT
  • Strong with Ansible / automation scripting, Python / scripting
  • Infrastructure systems (Unix, Windows, Network)
  • Good understanding of: APIs, system integration, Event-driven architecture
  • Exposure to: AI/LLM integration (OpenAI, etc.)
  • RPA tools (UiPath / others)
  • Experience with AIOps / observability tools (Elastic, Dynatrace)
  • Experience with infrastructure automation at enterprise scale
  • Able to connect infra + AI+ automation together

EA Reg. No. 25C2690 | EA License No. R1330510 | [Confidential Information]

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Job ID: 149760269

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