Sr. IZWS Scheduler Expert - Capgemini Engineering (Victoriaville)

About the role you're considering

We are seeking an experienced Migration Deployment Specialist – Scheduling (IZWS) to support large‑scale mainframe scheduling migrations to IBM Z Workload Scheduler (IZWS). This role serves as a Subject Matter Expert (SME) in batch scheduling conversions and plays a critical role in executing migration activities across development, test, and production sysplex environments. The ideal candidate combines deep z/OS expertise, strong analytical and troubleshooting skills, and the ability to collaborate effectively with cross‑functional teams—including application developers, schedulers, project managers, and customer stakeholders. This is a high‑impact role focused on delivering accurate, efficient, and successful workload migrations through iterative execution and parallel tracking.

Your role

• Lead and support the migration of batch scheduling workloads to IBM Z Workload Scheduler (IZWS)
• Analyze legacy scheduling platforms (e.g., CA‑7, ESP, Jobtrac, Control‑M) and translate definitions into IZWS structures
• Execute iterative migration cycles, including parallel tracking, validation, and dependency resolution
• Monitor batch workload execution using TSO/ISPF and IZWS tools, identifying issues and driving corrective actions
• Utilize and support operations through the Dynamic Workload Console
• Create, maintain, and update migration documentation, procedures, and reference materials
• Collaborate with application teams, system engineers, and operations to resolve migration challenges
• Provide technical guidance and training to schedulers, developers, and operations staff
• Support pre‑migration cleanup and best‑practice preparation activities for each sysplex
• Assist with project planning, estimation, and coordination with project management teams

Your skills and experience

• 5+ years of mainframe experience (OS/390, z/OS) with strong knowledge of core system components and operations
• 5+ years of IBM Z Workload Scheduler (IZWS) experience, including workload design and monitoring
• Advanced proficiency in TSO/ISPF (editing, dataset management, utilities)
• Expert‑level knowledge of Job Control Language (JCL), including troubleshooting and optimization
• Experience with REXX scripting for automation and efficiency improvement
• Excellent written and verbal communication skills, with the ability to work effectively across technical and non‑technical teams

Compensation

The base compensation range for this role in the posted location is: $74,041 - $134,620. Capgemini provides compensation range information in accordance with applicable pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

• Paid time off based on employee grade (A‑F), defined by policy: Vacation 12‑25 days, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

Equal Employment Opportunity

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.