AI DevOps Engineer 2542

• Provide L2/L3 production support for critical applications, including 24x7 support as required.


• Ensure high availability, SLA adherence, and operational stability.


• Monitor, troubleshoot, and resolve issues across Linux/Unix, Java/J2EE applications, Oracle Database, and WebLogic Server.


• Perform root cause analysis (RCA) and implement permanent remediation.


• Support application deployments, CI/CD integration, and environment management.


• Collaborate with Development, Infrastructure, and Database teams to resolve production issues.


• Design and implement Agentic AI solutions for IT Operations.


• Build self-healing systems and automated runbooks.


• Integrate AI agents with monitoring, alerting, and ITSM tools.


• Drive continuous improvement through AI-driven automation and deliver measurable reductions in incidents and operational overhead.

Key Responsibilities

• Provide L2/L3 production support for critical applications, including 24x7 support as required.


• Ensure high availability, SLA adherence, and operational stability.


• Monitor, troubleshoot, and resolve issues across Linux/Unix, Java/J2EE applications, Oracle Database, and WebLogic Server.


• Perform root cause analysis (RCA) and implement permanent remediation.


• Support application deployments, CI/CD integration, and environment management.


• Collaborate with Development, Infrastructure, and Database teams to resolve production issues.


• Design and implement Agentic AI solutions for IT Operations.


• Build self-healing systems and automated runbooks.


• Integrate AI agents with monitoring, alerting, and ITSM tools.


• Drive continuous improvement through AI-driven automation and deliver measurable reductions in incidents and operational overhead.

Qualifications

• Proven hands‑on experience in Application Support and DevOps.


• Strong experience with Linux/Unix environments, Java/J2EE applications, Oracle Database, and WebLogic Server.


• Experience in production support, troubleshooting, RCA, application deployments, CI/CD integration, and environment management.


• Proven hands‑on expertise in Agentic AI and AI-driven automation.


• Experience designing and implementing Agentic AI solutions for IT Operations.


• Experience building self‑healing systems and automated runbooks.


• Experience integrating AI agents with monitoring, alerting, and ITSM tools.


• Ability to work in APAC and US shifts and support a 24x7 operating model as required.