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Mid-level metro role; common Python but niche mainframe skills reduce applicant density.
Requires specialized mainframe, COBOL, and DB2 expertise, limiting cross-industry transferability.
Multiple mandatory mainframe and Python requirements plus explicit experience range create strict shortlisting filters.
Develop and maintain automation scripts and masking algorithms for mainframe applications using Python and Shell scripting.
Build and implement GenAI and Agentic AI solutions at the enterprise level.
Coordinate across project phases including testing, documentation, and production support, including off-hour issue resolution.
3 to 5 years of experience in Python development and mainframe support.
Strong skills in Python, Shell scripting, and mainframe technologies including JCL, COBOL, VSAM, and DB2.
Experience in building or supporting GenAI solutions; Agentic AI experience is a plus.
Work Experience Required: 3 to 5 years
Experienced in mainframe environment with production support responsibilities.
Comfortable working in cross-functional project environments through full SDLC phases.
Familiarity with enterprise AI applications, especially GenAI integration and automation solutions.