Bangalore, भारत
Vacancy description
COBOL Developer in भारत
Jobgether
- RemoteWork from anywhere
- Full-timeStandard weekly hours
- Part-timeFewer hours each week
- ContractFixed-term or freelance
भारत
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a COBOL Developer based in India. Join an innovative project at the intersection of legacy software engineering and artificial intelligence, where your COBOL expertise will help improve how AI systems understand, generate, and modernize established codebases. In this remote, part-time contract role, you will leverage your hands-on development experience and deep knowledge of existing COBOL repositories to evaluate AI-generated code and provide actionable technical feedback. You will work with real-world mainframe applications, batch-processing workflows, and enterprise programming patterns. Your contributions will help improve code accuracy, maintainability, and modernization capabilities across complex legacy environments. This opportunity is ideal for an experienced developer who enjoys explaining technical concepts, solving practical programming challenges, and shaping the next generation of AI-assisted software development. With flexible working hours, you can contribute your expertise while maintaining other professional commitments. Accountabilities - COBOL Codebase Analysis: Walk through COBOL repositories you have developed or maintained, explaining program structures, business logic, architectural choices, and implementation details. - Code Development and Debugging: Write, review, test, and debug COBOL programs, including copybooks, Job Control Language (JCL), and file-handling operations involving VSAM, sequential, and indexed files. - AI-Generated Code Evaluation: Assess AI-generated COBOL code for correctness, readability, coding standards, performance, and maintainability, providing clear and constructive written feedback. - Task and Test Case Development: Design realistic programming tasks, evaluation scenarios, and test cases based on practical mainframe applications and batch-processing requirements.
- Legacy Code Documentation: Document common COBOL programming patterns, legacy system behaviors, business rules, and implementation practices to improve AI understanding of established codebases. - Modernization Guidance: Explain and document legacy modernization approaches, including refactoring monolithic applications, improving code structure, and migrating COBOL applications to languages such as Java or C#. - Technical Knowledge Sharing: Communicate complex programming concepts clearly, helping technical and non-technical audiences understand code behavior, implementation decisions, and potential improvements. - Quality and Reliability: Apply your practical development experience to identify code defects, assess edge cases, and establish useful criteria for evaluating AI-assisted programming solutions. Requirements - Professional Experience: At least 3 years of hands-on COBOL development experience, including building, maintaining, and troubleshooting production-quality or substantial personal codebases. - Demonstrable Code Ownership: Ownership of at least one meaningful COBOL repository, hosted on GitHub, GitLab, Bitbucket, or maintained privately, that you can explain in depth. - COBOL Expertise: Strong understanding of COBOL program structure, divisions, procedural logic, and data structures, including PIC clauses, COMP/COMP-3, REDEFINES, and OCCURS. - Mainframe Technologies: Practical experience with JCL and at least one of the following technologies: CICS, DB2, IMS, or VSAM. Familiarity with CICS is particularly relevant to the required skill set. - Code Review and Testing: Ability to analyze code, identify defects, evaluate alternative implementations, and assess correctness, style, and maintainability. - Technical Communication: Strong written English skills and the ability to explain complex code, business logic, and technical decisions in a clear, structured manner to non-experts.
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