Description
We are looking for experienced COBOL developers who can read, understand, debug, and write production-quality COBOL code. You will work on tasks that help train and evaluate AI models on legacy software engineering workflows, especially mainframe-style codebases.
Responsibilities
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Read and interpret COBOL programs, copybooks, JCL, and related mainframe code.
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Write clean, correct COBOL code based on technical requirements.
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Debug COBOL logic and identify issues in existing programs.
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Explain code behavior, business logic, and data flow clearly.
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Review AI-generated COBOL solutions for correctness, completeness, and style.
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Create or evaluate test cases for COBOL programs.
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Provide high-quality feedback to improve AI model performance on legacy code tasks.
Requirements
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Strong hands-on experience with COBOL development.
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Ability to read and write COBOL code independently.
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Familiarity with mainframe environments such as IBM z/OS is preferred.
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Experience with JCL, VSAM, DB2, CICS, or copybooks is a plus.
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Strong debugging and code review skills.
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Clear written communication in English.
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Prior experience in banking, insurance, government, or enterprise legacy systems is a plus.
Ideal Candidate
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Has worked on real-world COBOL systems, not just academic examples.
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Can explain legacy code clearly to both technical and non-technical audiences.
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Is comfortable evaluating code quality and reasoning through edge cases.
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Has experience maintaining or modernising large legacy codebases.
Why Join
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Contribute to cutting-edge AI systems focused on software engineering.
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Help models better understand and support legacy enterprise code.
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Work on intellectually engaging code evaluation and generation tasks.
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Flexible opportunity for experienced COBOL engineers.
Interested in this position?
Apply directly on the company's website