Mainframe Test Batch Support Analyst

Saransh Inc; Raleigh (NC); On-site; USD 95,000 - 125,000; Full time

Job summary

Saransh Inc is seeking an experienced Mainframe Test Batch Support Analyst to join the MTES team in Raleigh. You will oversee onshore batch processing, investigate abends, manage incidents via ServiceNow, and coordinate with offshore teams to ensure SLA compliance.

The role requires 8–10 years in production/test support and 3+ years in batch monitoring, with preference for banking/financial services exposure and a 24x7 global support background.

Qualifications

• 8–10 years of Mainframe Production/Test Support experience.
• Minimum 3+ years in batch monitoring and incident management.
• Experience in large-scale banking/financial services environments preferred.
• Experience in a 24x7 global support model.

Responsibilities

• Monitor and manage daily batch processing across multiple mainframe test regions.
• Analyze batch failures, abends, job delays, and scheduling issues.
• Execute job restarts, reruns, validations, and recovery per procedures.
• Coordinate with application support teams and SMEs for issue resolution.
• Investigate batch failures and identify root causes; troubleshoot JCL, datasets, and scheduling.

Skills

Mainframe

COBOL

ServiceNow

Incident Management

Batch Monitoring

Abend Analysis

Change & Release

Tools

REXX

Python

OpsMVS

GitLab

Monitoring tools

Job description

We are seeking an experienced Mainframe Test Batch Support Analyst to join our Mainframe Test Environment Support (MTES) team. The associate will provide onshore support for multiple mainframe test batch regions, ensuring smooth execution of daily batch processing, incident resolution, environment refresh activities, and user support requests. The role requires close collaboration with offshore teams, application SMEs, infrastructure teams, and client stakeholders to maintain high service availability and SLA compliance

• 8 to 10 years of Mainframe Production/Test Support experience.
• Minimum 3+ years in batch monitoring and incident management.
• Experience supporting large-scale banking or financial services environments preferred.
• Experience working in a 24x7 global support model.

Technical Skills

• COBOL (basic debugging/analysis)
• ServiceNow or equivalent ITSM tool
• Incident & Problem Management Functional Skills
• Batch Monitoring and Operations Support
• Abend Analysis and Resolution
• Change & Release Support

Preferred Qualifications

• Exposure to Test Environment Management.
• Experience with automation tools (REXX, Python, OpsMVS, AI-assisted operations).
• Knowledge of DevOps, GitLab, or monitoring tools is an added advantage.

Batch Operations Support

• Monitor and manage daily batch processing across multiple mainframe test regions.
• Analyze batch failures, abends, job delays, and scheduling issues.
• Perform job restarts, reruns, validations, and recovery activities as per operational procedures.
• Coordinate with application support teams and SMEs for issue resolution.

Incident & Problem Management

• Investigate batch failures and identify root causes.
• Troubleshoot JCL, dataset, scheduling, and application-related issues.
• Manage incidents and service requests through ServiceNow or equivalent ticketing tools.
• Ensure timely resolution within agreed SLAs.
• Support weekend and planned environment refresh activities.
• Coordinate production-to-test data copy and validation activities.
• Execute pre-refresh and post-refresh validation checks.Work closely with Test Data Management teams to ensure environment readiness.
• Handle requests related:

• File copies and data setup
• JCL creation/modification
• Dataset management
• Environment access and operational support

• Provi de timely updates and customer communication.

Coordination & Stakeholder Management

• Act as the primary onshore point of contact for operational issues.
• Coordinate with offshore support teams to ensure seamless 24x7 coverage.
• Participate in daily, weekly, and governance meetings with client stakeholders.
• Provide status updates, incident reports, and operational metrics.
• Identify automation opportunities to reduce manual effort.
• Contribute to operational excellence initiatives and process improvements.
• Maintain operational runbooks, SOPs, and knowledge articles.
• Support adoption of AI/automation tools for batch monitoring and incident analysis.