Technical Lead Mainframe To Java Migration

Atlas Systems

3 - 5 years

8 - 12 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

vsam performance tuning automation jcl db2 configuration management cobol oracle middleware sql

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a Technical Lead to guide a large-scale Mainframe Modernization initiative involving COBOL-to-Java code migration. The role requires strong technical depth across mainframe technologies, Java, and cloud architectures, with hands-on experience in application refactoring, data migration, and validation processes.

Key Responsibilities

Lead the modernization effort from COBOL to Java, leveraging CloudFrame for automated conversion
Define migration approach and roadmap, including assessment, code analysis, and target architecture alignment
Review and validate auto-generated Java code, ensuring adherence to modern coding standards and architectural principles
Guide teams on integration, testing, and optimization of converted applications.
Collaborate with CloudFrame, infrastructure, and QA teams to resolve functional and performance issues
Ensure data model alignment, DB2 schema migration, and integration with downstream systems
Provide technical governance and enforce best practices in code quality, CI/CD, and configuration management
Support functional validation to ensure business logic parity between legacy and modernized applications
Lead technical discussions, design reviews, and communicate status to client leadership

Required Skills

Mainframe Experience: Strong understanding of COBOL, JCL, DB2, VSAM, and batch processing
Modern Stack Expertise: Hands-on experience with Java (Spring Boot), REST APIs, and microservices
Migration Tools: Prior exposure to CloudFrame, Heirloom, Micro Focus, or similar automated refactoring tools
Database: DB2 (Mainframe and LUW), SQL, data migration utilities
Integration: Experience with middleware, APIs, or messaging systems
Testing & Validation: Familiarity with automation frameworks, regression validation, and performance tuning
Cloud Knowledge: Exposure to cloud-native deployment (AWS, Azure, or GCP preferred)
Strong problem-solving, leadership, and client communication skills.

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