Mainframe scheduler
Capgemini
Mainframe scheduler
Job Description
Mainframe scheduler
📋 Job Overview
The Mainframe Scheduler role at Capgemini involves guiding AI/ML teams in understanding IBM Z Workload Scheduler (IZWS) behavior and detecting anomalies. Responsibilities include analyzing discrepancies between legacy and modern scheduling systems, documenting resolution logic, validating schedules, and bridging workflows for operational readiness. This position supports tracking, reconciliation, and ensures accurate schedule conversion in a collaborative environment.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Cloud Infrastructure Services
🎯 Key Responsibilities
- Guide AI/ML teams in understanding IZWS scheduler behavior and identifying anomaly patterns
- Analyze discrepancies between legacy scheduling systems and the IZWS scheduler
- Define and document resolution logic for scheduling issues and anomalies
- Validate converted schedules to ensure accuracy, consistency, and operational readiness
- Support tracking and reconciliation processes, including report analysis and issue resolution
- Bridge the gap between legacy scheduling platforms and modern AI/ML workflows
- Ensure accurate schedule conversion, anomaly detection, and resolution logic documentation
✅ Required Qualifications
- Experience with scheduling systems, preferably including IBM Z Workload Scheduler (IZWS)
- Familiarity with AI/ML workflows and anomaly detection techniques
- Experience in technical documentation and validation of scheduling logic
🛠️ Required Skills
- Strong analytical and problem-solving skills
- Ability to communicate technical findings clearly to cross-functional teams
- Detail-oriented with a strong commitment to data integrity and continuous process improvement
- Comfortable working in collaborative environments with diverse technical teams
- IBM Z Workload Scheduler (IZWS)
- AI/ML workflows
- Anomaly detection techniques
- Technical documentation
- Validation of scheduling logic
- Legacy scheduling systems
🎁 Benefits & Perks
- Be part of a global leader in consulting, technology services, and digital transformation committed to sustainability, innovation, and positive societal impact
- Access world-class training programs, certifications, and mentorship opportunities to evolve skills and career path
- Work on cutting-edge technologies like AI, cloud, cybersecurity, and data analytics, solving real-world challenges for Fortune 500 clients
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong analytical and problem-solving skillsintermediate
- Ability to communicate technical findings clearly to cross-functional teamsintermediate
- Detail-oriented with a strong commitment to data integrity and continuous process improvementintermediate
- Comfortable working in collaborative environments with diverse technical teamsintermediate
- IBM Z Workload Scheduler (IZWS)intermediate
- AI/ML workflowsintermediate
- Anomaly detection techniquesintermediate
- Technical documentationintermediate
- Validation of scheduling logicintermediate
- Legacy scheduling systemsintermediate
Required Qualifications
- Experience with scheduling systems, preferably including IBM Z Workload Scheduler (IZWS) (experience)
- Familiarity with AI/ML workflows and anomaly detection techniques (experience)
- Experience in technical documentation and validation of scheduling logic (experience)
Responsibilities
- Guide AI/ML teams in understanding IZWS scheduler behavior and identifying anomaly patterns
- Analyze discrepancies between legacy scheduling systems and the IZWS scheduler
- Define and document resolution logic for scheduling issues and anomalies
- Validate converted schedules to ensure accuracy, consistency, and operational readiness
- Support tracking and reconciliation processes, including report analysis and issue resolution
- Bridge the gap between legacy scheduling platforms and modern AI/ML workflows
- Ensure accurate schedule conversion, anomaly detection, and resolution logic documentation
Benefits
- general: Be part of a global leader in consulting, technology services, and digital transformation committed to sustainability, innovation, and positive societal impact
- general: Access world-class training programs, certifications, and mentorship opportunities to evolve skills and career path
- general: Work on cutting-edge technologies like AI, cloud, cybersecurity, and data analytics, solving real-world challenges for Fortune 500 clients
Tags & Categories
Answer 10 quick questions to check your fit for Mainframe scheduler @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs
Mainframe scheduler
Capgemini
Mainframe scheduler
Job Description
Mainframe scheduler
📋 Job Overview
The Mainframe Scheduler role at Capgemini involves guiding AI/ML teams in understanding IBM Z Workload Scheduler (IZWS) behavior and detecting anomalies. Responsibilities include analyzing discrepancies between legacy and modern scheduling systems, documenting resolution logic, validating schedules, and bridging workflows for operational readiness. This position supports tracking, reconciliation, and ensures accurate schedule conversion in a collaborative environment.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Cloud Infrastructure Services
🎯 Key Responsibilities
- Guide AI/ML teams in understanding IZWS scheduler behavior and identifying anomaly patterns
- Analyze discrepancies between legacy scheduling systems and the IZWS scheduler
- Define and document resolution logic for scheduling issues and anomalies
- Validate converted schedules to ensure accuracy, consistency, and operational readiness
- Support tracking and reconciliation processes, including report analysis and issue resolution
- Bridge the gap between legacy scheduling platforms and modern AI/ML workflows
- Ensure accurate schedule conversion, anomaly detection, and resolution logic documentation
✅ Required Qualifications
- Experience with scheduling systems, preferably including IBM Z Workload Scheduler (IZWS)
- Familiarity with AI/ML workflows and anomaly detection techniques
- Experience in technical documentation and validation of scheduling logic
🛠️ Required Skills
- Strong analytical and problem-solving skills
- Ability to communicate technical findings clearly to cross-functional teams
- Detail-oriented with a strong commitment to data integrity and continuous process improvement
- Comfortable working in collaborative environments with diverse technical teams
- IBM Z Workload Scheduler (IZWS)
- AI/ML workflows
- Anomaly detection techniques
- Technical documentation
- Validation of scheduling logic
- Legacy scheduling systems
🎁 Benefits & Perks
- Be part of a global leader in consulting, technology services, and digital transformation committed to sustainability, innovation, and positive societal impact
- Access world-class training programs, certifications, and mentorship opportunities to evolve skills and career path
- Work on cutting-edge technologies like AI, cloud, cybersecurity, and data analytics, solving real-world challenges for Fortune 500 clients
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
800,000 - 1,500,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Strong analytical and problem-solving skillsintermediate
- Ability to communicate technical findings clearly to cross-functional teamsintermediate
- Detail-oriented with a strong commitment to data integrity and continuous process improvementintermediate
- Comfortable working in collaborative environments with diverse technical teamsintermediate
- IBM Z Workload Scheduler (IZWS)intermediate
- AI/ML workflowsintermediate
- Anomaly detection techniquesintermediate
- Technical documentationintermediate
- Validation of scheduling logicintermediate
- Legacy scheduling systemsintermediate
Required Qualifications
- Experience with scheduling systems, preferably including IBM Z Workload Scheduler (IZWS) (experience)
- Familiarity with AI/ML workflows and anomaly detection techniques (experience)
- Experience in technical documentation and validation of scheduling logic (experience)
Responsibilities
- Guide AI/ML teams in understanding IZWS scheduler behavior and identifying anomaly patterns
- Analyze discrepancies between legacy scheduling systems and the IZWS scheduler
- Define and document resolution logic for scheduling issues and anomalies
- Validate converted schedules to ensure accuracy, consistency, and operational readiness
- Support tracking and reconciliation processes, including report analysis and issue resolution
- Bridge the gap between legacy scheduling platforms and modern AI/ML workflows
- Ensure accurate schedule conversion, anomaly detection, and resolution logic documentation
Benefits
- general: Be part of a global leader in consulting, technology services, and digital transformation committed to sustainability, innovation, and positive societal impact
- general: Access world-class training programs, certifications, and mentorship opportunities to evolve skills and career path
- general: Work on cutting-edge technologies like AI, cloud, cybersecurity, and data analytics, solving real-world challenges for Fortune 500 clients
Tags & Categories
Answer 10 quick questions to check your fit for Mainframe scheduler @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs