Infrastructure Automation Engineer (Python/LangGraph/Agentic A/

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NTT SINGAPORE PTE. LTD. seeks an experienced engineer to develop and roll out observability and automation solutions for Site Reliability Engineering. You will build AI-powered workflows, automate diagnostics and remediation, and drive predictive incident prevention across infrastructure and applications.

Key tasks include integrating AIOps into CI/CD, enabling self-healing capabilities, and collaborating with cross-functional teams to improve reliability and delivery performance.

Responsibilities

• AIOps & Agentic AI Engineering: Develop Python and/or LangGraph scripts and agentic AI workflows to automate operational tasks, diagnostics, and remediation.
• Build and integrate AIOps capabilities for predictive alerting, anomaly detection, and intelligent event correlation across infrastructure and applications.
• Design and operationalise agentic AI solutions that augment incident response and reduce manual intervention.
• Develop self-healing and auto-remediation workflows driven by AI/ML and event correlation insights.
• Infrastructure Automation and CI/CD: Develop infrastructure automation to provision, configure, and manage systems in a consistent, auditable manner.
• Manage automation and AI code through GitHub, applying version control, code review, and collaboration best practices.
• Integrate AIOps and automation components into CI/CD pipelines for continuous testing, validation, and deployment.
• Observability, Reliability & Collaboration: Implement observability and event correlation across metrics, logs, and traces to enable proactive reliability management.
• Champion SRE frameworks and reliability practices, embedding AIOps into the delivery life cycle.
• Collaborate with Application, Infrastructure, Cloud, and Cyber teams to enable predictive incident prevention and root-cause transparency.
• Maintain documentation and runbooks, and mentor engineers on AIOps and automation best practices.

Job description

Summary:
Develop and roll out new observability and automation solutions, driving increased demand for development capacity for Site Reliability Engineering (AIOps and Agentic AI).

Key Responsibilities:

• AIOps & Agentic AI Engineering
  • Develop Python and/or LangGraph scripts and agentic AI workflows to automateoperational tasks, diagnostics, and remediation.
  • Build and integrate AIOps capabilities for predictive alerting, anomaly detection,and intelligent event correlation across infrastructure and applications
  • Design and operationalise agentic AI solutions that augment incident response and reduce manual intervention.
  • Develop self-healing and auto-remediation workflows driven by AI/ML and event correlation insights.
• Infrastructure Automationand CI/CD
  • Develop infrastructure automation to provision, configure, and manage systems in aconsistent, auditable manner.
  • Manage automation and AI code through GitHub, applying version control, code review,and collaboration best practices.
  • IntegrateAIOps and automation components into CI/CD pipelines for continuous testing,validation, and deployment.
• Observability, Reliability& Collaboration
  • Implement observability and event correlation across metrics, logs, and traces to enable proactive reliability management.
  • Champion SRE frameworks and reliability practices, embedding AIOps into the delivery life cycle
  • Collaborate with Application, Infrastructure, Cloud, and Cyber teams to enable predictive incident prevention and root-cause transparency
  • Maintain documentation and runbooks, and mentor engineers on AIOps and automation best practices.