WebLogic Middleware Admin – High Availability & DR
MACHINE LEARNING TECHNOLOGIES LLC
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Job summary
MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX is seeking a Middleware (WebLogic) Administrator to join a 12-month engagement (with extension). The role requires hands-on delivery of WebLogic Server domains, clusters, and authentication providers, plus planning, installation, and secure operation of WebLogic infrastructure.
You will provide 24x7 on‑call support, disaster recovery testing, and ongoing patching and deployments in a high‑availability environment, collaborating with global teams to
Qualifications
- Experience administering WebLogic Server domains and clusters.
- Experience with disaster recovery testing.
- Experience in 24x7 on-call support and rotation.
Responsibilities
- Create, configure, backup and restore a WebLogic Server domain, cluster, and authentication provider
- Ensures installations meet standards and technical specifications
- Plan, install, build, manage, support, configure, secure and test Weblogic infrastructure components and connectivity
- Support multiple WebLogic 11g Servers and J2EE applications in a High Availability environment
- Provide troubleshooting and technical support services for web infrastructure
- Assist in the planning and execution of disaster recovery failover testing
- Perform 24x7 on call duties on a rotation basis with the other Weblogic administrator
- Perform scheduled maintenance, patching, and security compliance
- Perform and automate manual application deployments
Skills
Tools
Job description
MACHINE LEARNING TECHNOLOGIES LLC in Plano, TX is seeking a Middleware (WebLogic) Administrator to join a 12-month engagement (with extension). The role requires hands-on delivery of WebLogic Server domains, clusters, and authentication providers, plus planning, installation, and secure operation of WebLogic infrastructure.
You will provide 24x7 on‑call support, disaster recovery testing, and ongoing patching and deployments in a high‑availability environment, collaborating with global teams to
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