Migration Deployment Specialist - Scheduling (IBM Z Workload Scheduler)

Capgemini Engineering; Buenos Aires; Presencial; ARS 1.800.000 - 2.400.000; Jornada completa

Descripción de la vacante

Capgemini Engineering in Argentina is seeking an experienced scheduling migration specialist to support large-scale migrations to IBM Z Workload Scheduler. This role serves as a subject matter expert in batch scheduling conversion across development, test, and production environments.

You will analyze legacy definitions, lead migration efforts, and collaborate with scheduling teams. Strong mainframe background and IZWS/IWS experience are essential, as is the ability to provide guidance and

Formación

• Must have strong mainframe background in OS/390 or z/OS.
• Hands-on IZWS/IWS migration experience.
• Experience migrating from non-IBM/ISV schedulers (CA-7/CA ESP/Jobtrac/BMC Control-M/ASG Zeke/Zebb).
• Proficient in JCL and TSO/ISPF.

Responsabilidades

• Lead migration of batch workloads to IBM Z Workload Scheduler.
• Map legacy definitions from CA-7/CA ESP/Jobtrac/BMC/ASG to IBM scheduler structures.
• Coordinate parallel tracking, validation, and issue resolution.
• Monitor workload execution using TSO/ISPF and IBM scheduler interfaces.
• Provide guidance and training to scheduling teams and staff.

Conocimientos

Mainframe OS/390 or z/OS

IBM IZWS/IWS

JCL

TSO/ISPF

Dependency analysis

Schedule validation

Parallel tracking

Communication skills

Herramientas

TSO/ISPF tooling

Descripción del empleo

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 mostinnovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as theyprovide 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 arethe 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.