AI DevOps Engineer: AI-Driven IT Operations & Automation

Lancesoft APAC

Malaysia

On-site

MYR 120,000 - 180,000

Full time

14 days+
Application generator

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Job summary

Lancesoft APAC seeks an experienced AI DevOps Engineer to provide L2/L3 support and drive AI-driven automation across critical enterprise applications running on Linux/Unix, Java/J2EE, Oracle Database, and WebLogic Server.

The ideal candidate will have hands-on experience in Agentic AI, intelligent automation, and the ability to design AI-powered solutions that improve operational efficiency, automate repetitive tasks, enable proactive incident management, and reduce manual intervention.

Qualifications

  • Hands-on experience supporting enterprise applications in Linux/Unix environments.
  • Experience with Agentic AI and AI-driven automation advocated for IT Operations.
  • Proven ability to design and implement AI-driven automation to improve efficiency.

Responsibilities

  • Provide L2/L3 production support for critical enterprise applications.
  • Participate in 24x7 production support as required.
  • Monitor application health, availability, and performance.
  • Troubleshoot and resolve complex production incidents.
  • Ensure SLA adherence and perform RCA for recurring issues.
  • Collaborate with Development, Infrastructure, and Database teams to resolve issues.
  • Support deployments, environment management, and production releases.
  • Develop and maintain AI-driven automation and runbooks.
  • Design self-healing and proactive incident management capabilities.
  • Integrate AI agents with monitoring, alerting, and ITSM tools.

Skills

AI DevOps
L2/L3 support
Agentic AI
Automation
Linux/Unix
Java/J2EE
Oracle Database
WebLogic Server
CI/CD
Monitoring
Incident management
Runbooks

Tools

CI/CD pipelines
Monitoring tools
ITSM platforms
Automation tooling

Job description

Lancesoft APAC seeks an experienced AI DevOps Engineer to provide L2/L3 support and drive AI-driven automation across critical enterprise applications running on Linux/Unix, Java/J2EE, Oracle Database, and WebLogic Server.

The ideal candidate will have hands-on experience in Agentic AI, intelligent automation, and the ability to design AI-powered solutions that improve operational efficiency, automate repetitive tasks, enable proactive incident management, and reduce manual intervention.

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