AI DevOps Engineer

Job Summary

We are looking for an experienced AI DevOps Engineer to provide L2/L3 application support and AI-driven automation across enterprise applications running on Linux/Unix, Java/J2EE, Oracle Database, and WebLogic Server.

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

The role requires a strong combination of Application Support, DevOps, enterprise technology, and Agentic AI automation skills.

Key Responsibilities Application Support & Operations

• 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 high availability, operational stability, and adherence to defined SLAs.
• Perform detailed Root Cause Analysis (RCA) for recurring and critical incidents.
• Implement permanent fixes and remediation to prevent recurrence.
• Support application deployments, environment management, and production releases.
• Collaborate with Development, Infrastructure, Database, and other technology teams to resolve technical issues.
• Proactively identify potential incidents and performance issues.

DevOps Responsibilities

• Support application deployment and release activities across environments.
• Integrate application support processes with CI/CD pipelines.
• Assist with environment configuration and management.
• Automate repetitive operational and deployment activities.
• Improve application reliability and operational efficiency through automation.
• Support monitoring, alerting, and incident-management processes.

Agentic AI & Intelligent Automation

• Design, develop, and implement Agentic AI solutions for IT Operations.
• Build AI-powered automation to reduce manual operational effort.
• Develop self-healing systems capable of detecting issues and initiating automated remediation.
• Create intelligent and automated runbooks for common operational incidents.
• Integrate AI agents with:
  • Monitoring tools
  • Alerting platforms
  • IT Service Management (ITSM) tools
  • Application support processes
• Use AI agents to support proactive incident detection, diagnosis, and resolution.
• Identify opportunities where Agentic AI can improve operational efficiency.
• Deliver measurable improvements in areas such as:
  • Incident reduction
  • Mean Time to Resolution (MTTR)
  • Manual effort reduction
  • Operational overhead
  • Application availability

Required Technical Skills Application Support

Hands-on experience supporting enterprise applications running on:

• Linux / Unix
• Java / J2EE
• Oracle Database
• WebLogic Server

DevOps

• Experience with application deployment and environment management.
• Understanding of CI/CD integration and release processes.
• Experience with production monitoring and incident management.
• Strong troubleshooting and problem-solving skills.
• Experience working with development, infrastructure, and database teams.

Agentic AI / AI Automation

• Proven hands-on experience with Agentic AI.
• Experience designing and implementing AI agents for IT Operations.
• Experience building AI-driven automation and intelligent workflows.
• Knowledge of AI-powered incident management and remediation.
• Experience developing automated runbooks or self-healing solutions.
• Ability to integrate AI agents with monitoring, alerting, and ITSM platforms.

Key Deliverables

• Stable and reliable production application support.
• Timely resolution of L2/L3 incidents.
• Effective RCA and permanent remediation.
• Improved application availability and SLA compliance.
• Automated operational processes and runbooks.
• AI-driven self-healing and proactive incident management.
• Measurable reduction in manual support effort and operational overhead.
• Continuous improvement of application support and DevOps processes.