TECHNICAL LEAD

Coforge • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • COBOL • 5 days ago

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Salary

≈ $16k – $32k per year (Estimated)

Location

In office (Hyderabad)

Seniority

Staff

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Jun 15, 2026. Coforge scores B on the Alion truth index.

Overview

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Profile match

Coforge

Formerly known as NIIT Technologies, Coforge is a global information technology and digital solutions company headquartered in Noida, India. The firm specializes in cloud modernization, artificial intelligence, data analytics, and digital process automation for key industries including banking, insurance, and travel. Operating an extensive network of international delivery centers, it provides domain-led transformation services and enterprise software solutions to clients worldwide.

coforge.com • HQ: Noida, India • Business Process Outsourcing (BPO) • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 5000+ employees • Est. 1992

Tech stack of Coforge

Backed by Warburg Pincus, Renovus Capital Partners

Experience in Life Insurance / Life IT domain
Provide production support for Mainframe applications
Monitor and manage batch jobs using Control-M scheduler
Analyze, troubleshoot, and resolve production incidents within defined SLAs
Perform job abends analysis and fix issues related to COBOL programs, JCL, and datasets
Work on file handling and VSAM dataset issues (KSDS, ESDS, RRDS)
Use Mainframe utilities (IDCAMS, SORT, IEBGENER, etc.) for data management and troubleshooting
Perform code fixes, emergency patches, and minor enhancements when required
Coordinate with cross-functional teams (development, business, infra) for issue resolution
Maintain proper incident documentation and root cause analysis (RCA)
Support release and deployment activities
Ensure compliance with audit and operational standards
Good knowledge of:
- Batch processing and job flow
- Abend codes and debugging techniques
- File handling and dataset management
Strong analytical and problem-solving abilities
Ability to work under pressure in critical production environments
Good communication and stakeholder coordination skills
Self-driven with a proactive approach

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