Mainframe Scheduler Engineer
Listed on 2026-06-14
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IT/Tech
Systems Administrator, Systems Engineer, IT Support, Cloud Computing
Client:
State Of New York - NYS Department of taxation and Finance
Duration: 30 Months
Location:
WA Harriman Campus/Bldg. 8, Albany, New York, 12227
Interview Type:
Onsite/Webcam
Ceipal
Job Code: HBITS-07-14824
Scope of ProjectThis 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 of the New York State Department of Taxation and Finance. 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 department's technology environment.
- 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.
- 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.
- 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.
- 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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