Senior IBM Workload Scheduler Specialist (Hybrid)

TekWissen LLC

Riverwoods (IL)

Hybrid

USD 96,000 - 138,000

Full time

14 days+

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Job summary

TekWissen LLC seeks a Senior Associate in Riverwoods, IL for a 6-month hybrid assignment. The role focuses on IBM Workload Scheduler architecture, CLI-based management, and Linux system administration.

The candidate will install IWS components, apply patches, monitor logs, and troubleshoot performance. Strong scripting and cloud knowledge are required, with collaboration across teams.

Qualifications

  • Extensive experience with IBM Workload Scheduler architecture and related components (MDM/BMDM/FTA/DA).
  • Proficient in using conman, composer and planman CLIs to manage scheduling objects and production plans.
  • Experience installing IWS components and applying patches/fixes.
  • Strong Linux system administration and shell scripting background.
  • Familiar with monitoring logs (logs, FFDC) and trace levels.
  • Knowledge of AWS cloud infrastructure and secrets management.

Responsibilities

  • Monitor and control production plans using DWC and CLIs.
  • Install and configure IWS components and apply Fix Packs.
  • Troubleshoot based on logs (logs, FFDC), adjust trace levels.
  • Manage systemd services for IWS agents and MDM.
  • Monitor system performance and diagnose bottlenecks.
  • Collaborate with DBAs on Oracle connectivity and SQL basics.

Skills

IBM Workload Scheduler
Linux administration
Scripting (Bash, Python)
Networking principles
Log analysis
Cloud (AWS)
Systemd/journalctl
Java/Oracle basics

Tools

IBM Workload Scheduler components (MDM, DWC, FTA, DA)
WebSphere Liberty
Conman/Composer/Planman CLIs
Red Hat Enterprise Linux 8+

Job description

TekWissen LLC seeks a Senior Associate in Riverwoods, IL for a 6-month hybrid assignment. The role focuses on IBM Workload Scheduler architecture, CLI-based management, and Linux system administration.

The candidate will install IWS components, apply patches, monitor logs, and troubleshoot performance. Strong scripting and cloud knowledge are required, with collaboration across teams.

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