Oracle

Senior Principal Weblogic Administrator

Posted On

Jan. 5, 2026

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

July 4, 2026

Job Description

We are seeking an Oracle WebLogic Administrator responsible for deploying and supporting middleware applications using Oracle WebLogic products. The ideal candidate will have a minimum of 5 years of experience administering middleware in a large enterprise environment, with a focus on WebLogic. Experience integrating AI-driven tools and practices to optimize operations and automate workflows is highly desirable.

Responsibilities:

Oracle FUSION WebLogic Software installation and maintenance (11.x, 12.x, and 14.x versions)
Installing WebLogic patches, service packs, etc.
WebLogic Application server administration
Performance monitoring and tuning – Basic
Carrying out Thread Dump Analysis, Heap dump analysis, etc.
Configuring LDAP and Security realms – Basic
Developing automation scripts, including leveraging AI or machine learning-based solutions for process improvements and operational insights
Applying utilities like WebLogic.Admin, WebLogic.Deployer, etc.
Integrating with HTTP servers
Troubleshooting deployment issues (JAR, EAR, WAR, etc.)
Utilizing AI-powered monitoring tools to proactively identify and resolve system performance and security issues
Engaging in continual learning and application of emerging AI technologies relevant to middleware and DevOps
Deploy, administer, support, and maintain middleware applications to enable communication between financial applications on diverse platforms with varying interfaces
Installation, maintenance, and configuration of WebLogic environments
Assess and identify appropriate changes; make recommendations for implementation, including adoption of innovative solutions such as AI-powered automation
System administration, troubleshooting, monitoring, problem resolution, system security, and change implementation
Installation, administration, and thorough documentation of WebLogic systems and AI workflows
Work individually or in a team on various system projects related to UNIX, Linux, Windows, and Application support
Plan, prepare, and apply maintenance fixes/upgrades to WebLogic software
Assist application support team with high-level debugging, including AI-driven analysis of logs, thread, and heap dumps
Provide system support, including off-shift/on-call as required, and increase staff skill levels through cross-training, including training on AI-based monitoring and analytics tools
Familiarity with implementing or supporting AI-based monitoring/alerting or self-healing systems within the middleware environment
Experience with AI or ML scripting libraries or platforms for automation (e.g., Python with AI toolkits)
Demonstrated ability to stay current with developments in AI tools and practices applicable to enterprise middleware

Required Skills:

Deploy, administer, support, and maintain middleware applications to enable communication between financial applications on diverse platforms with varying interfaces
Installation, maintenance, and configuration of WebLogic environments
Assess and identify appropriate changes; make recommendations for implementation, including adoption of innovative solutions such as AI-powered automation
System administration, troubleshooting, monitoring, problem resolution, system security, and change implementation
Installation, administration, and thorough documentation of WebLogic systems and AI workflows
Work individually or in a team on various system projects related to UNIX, Linux, Windows, and Application support
Plan, prepare, and apply maintenance fixes/upgrades to WebLogic software
Assist application support team with high-level debugging, including AI-driven analysis of logs, thread, and heap dumps
Provide system support, including off-shift/on-call as required, and increase staff skill levels through cross-training, including training on AI-based monitoring and analytics tools

Preferred Experience:

Familiarity with implementing or supporting AI-based monitoring/alerting or self-healing systems within the middleware environment
Experience with AI or ML scripting libraries or platforms for automation (e.g., Python with AI toolkits)
Demonstrated ability to stay current with developments in AI tools and practices applicable to enterprise middleware

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