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Capgemini Engineering

Migration Deployment Specialist - Scheduling (IBM Z Workload Scheduler)

Buenos Aires, AR

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hirly's read of this role

Seniority
Mid level
Country
AR
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

We are seeking an experienced scheduling migration specialist to support large-scale migrations to IBM Z Workload Scheduler (IZWS / IWS) . This role serves as a subject matter expert in batch scheduling conversion across development, test, and production environments.

Key Responsibilities

  • Lead and support migration of batch scheduling workloads to IBM Z Workload Scheduler.
  • Analyze legacy scheduling definitions from CA-7, CA ESP, Jobtrac, BMC Control-M, and ASG Zeke/Zebb and map them to IBM scheduler structures.
  • Execute parallel tracking, schedule validation, dependency analysis, and issue resolution.
  • Monitor workload execution using TSO/ISPF and IBM scheduler interfaces.
  • Provide technical guidance and training to scheduling teams and operational staff.

Mandatory Skills and Experience

  • Strong mainframe background in OS/390 or z/OS environments.
  • Deep hands-on experience with IBM Z Workload Scheduler (IZWS / IWS).
  • Hands-on migration experience from Non-IBM / ISV scheduling platforms such as CA-7, CA ESP, CA Workload Automation ESP, Jobtrac, BMC Control-M, or ASG Zeke/Zebb to IBM Z Workload Scheduler.
  • Strong TSO/ISPF editing skills and expert-level understanding of JCL.
  • Experience with dependency analysis, schedule validation, report review, and iterative parallel tracking cycles.
  • Strong written and verbal communication skills for technical collaboration and customer-facing work.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Original posting on Capgemini Engineering's site ↗

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