AI DevOps Engineer 2542
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Summary
L2/L3 production support and DevOps engineer for critical applications, keeping Linux/Unix, Java/J2EE, Oracle Database, and WebLogic systems stable and on-SLA. Also designs Agentic AI solutions, self-healing systems, and automated runbooks integrated with monitoring and ITSM tools, working APAC/US shifts in a 24x7 model.
- 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.