IBM Workload Scheduler
Job Location:
Albany, GA - USA
Monthly Salary:
Not Disclosed
Posted on:
9 days ago
Vacancies:
1 Vacancy
Job Summary
For more details please connect with Praveen H at or call at .
Job Title: IBM Workload Scheduler
Duration: 30 Months
Location: Albany New York 12227
Hours Per Week: 40 Hours
Interview Type: Onsite/Webcam
Ceipal ID: SNYIWS824PH
Scope of Project:
This position is part of the Scheduling and Automation Team within the Platform Operations Team supporting the Tax Modernization Program a multi-year initiative to upgrade and modernize the IT systems and infrastructure. The role focuses on automating and managing enterprise workloads job scheduling and operational processes to improve efficiency reliability and day-to-day IT operations using tools such as IBM Workload Scheduler (IWS) and workload automation technologies. It involves monitoring batch processing troubleshooting scheduling issues implementing automation solutions and supporting the modernization of operational workflows across the tax departments technology environment.
Responsibilities:
- Administer maintain and support the IBM Workload Scheduler (IWS) environment on IBM mainframe systems.
- Monitor daily workload processing to ensure scheduled jobs job streams and dependencies execute successfully and within established service levels.
- Configure schedule and manage batch workloads across enterprise applications and platforms.
- Analyze and resolve job failures scheduling conflicts resource contention issues and workload bottlenecks.
- Perform workload forecasting capacity planning and schedule optimization to improve operational efficiency.
- Create modify and maintain job definitions calendars run cycles workstations and job streams.
- Support production batch processing including incident response troubleshooting and recovery activities.
- Coordinate with application teams system programmers database administrators and business units to implement scheduling requirements.
- Manage workload dependencies between mainframe and distributed systems.
- Develop and maintain scheduling standards procedures and operational documentation.
- Participate in disaster recovery planning testing and workload restoration activities.
- Ensure compliance with organizational security change management and audit requirements.
- Utilize IBM Dynamic Workload Console (DWC) to monitor manage and administer enterprise workloads.
- Configure and maintain DWC dashboards monitoring views alerts and reporting functions.
- Troubleshoot workload execution issues using DWC monitoring and diagnostic tools.
- Support end users and operations staff in the use of DWC scheduling and monitoring capabilities.
- Implement and maintain workload automation policies using DWC administrative functions.
- Generate workload status performance and operational reports for management and technical teams.
Technical Support and Administration
- Perform installation configuration maintenance and upgrades of IBM Workload Scheduler components.
- Manage scheduling agents communication links and workload automation infrastructure.
- Support integration between IWS and enterprise applications databases and middleware platforms.
- Implement workload automation best practices to improve reliability availability and performance.
- Conduct root cause analysis for recurring scheduling issues and recommend corrective actions.
- Participate in system testing application deployments and production implementation activities.
Required/Preferred Skills:
- 84 months Experience using administering IBM Workload Scheduler (IWS/Tivoli Workload Scheduler) in a z/OS mainframe environment.
- 84 months Experience using and administering IBM Dynamic Workload Console (DWC) for workload administration and monitoring.
- 84 Months Experience Knowledge of IBM z/OS operations JCL TSO/ISPF SDSF and batch processing concepts. 15 20
- 60 Months Experience workload automation concepts including calendars dependencies critical paths and event-driven scheduling.
- 60 Months Experience troubleshooting batch processing failures and performing production support.
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