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
- Read and interpret COBOL programs, copybooks, JCL, and related mainframe code.
- Write clean, correct COBOL code based on technical requirements.
- Debug COBOL logic and identify issues in existing programs.
- Explain code behavior, business logic, and data flow clearly.
- Review AI-generated COBOL solutions for correctness, completeness, and style.
- Create or evaluate test cases for COBOL programs.
- Provide high-quality feedback to improve AI model performance on legacy code tasks.
Requirements
- Strong hands-on experience with COBOL development.
- Ability to read and write COBOL code independently.
- Familiarity with mainframe environments such as IBM z/OS is preferred.
- Experience with JCL, VSAM, DB2, CICS, or copybooks is a plus.
- Strong debugging and code review skills.
- Clear written communication in English.
- Prior experience in banking, insurance, government, or enterprise legacy systems is a plus.
Ideal Candidate
- Has worked on real-world COBOL systems, not just academic examples.
- Can explain legacy code clearly to both technical and non-technical audiences.
- Is comfortable evaluating code quality and reasoning through edge cases.
- Has experience maintaining or modernising large legacy codebases.
Why Join
- Contribute to cutting-edge AI systems focused on software engineering.
- Help models better understand and support legacy enterprise code.
- Work on intellectually engaging code evaluation and generation tasks.
- Flexible opportunity for experienced COBOL engineers.
Screening
- Please apply with the link - https://t.mercor.com/tt8EW