Oracle

Senior Consultant

Job Description

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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