Mainframe Developer: COBOL/CICS/DB2 Expert

Artifintech; Austin (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

Artifintech is seeking a skilled Mainframe Developer to design, develop, maintain, and support enterprise mainframe applications. The role emphasizes COBOL, JCL, VSAM, and DB2 expertise to support batch and online processing and system integrations.

The candidate should have strong debugging skills, experience with CICS, abend resolution, and a focus on data integrity and reliability across production environments. Collaboration with analysts and distributed teams is essential.

Qualifications

• Strong COBOL and JCL skills with DB2 experience.
• Experience with VSAM data sets and batch/online processing.
• Proficiency in CICS and production support environments.
• Ability to debug, diagnose abends and ensure data integrity.
• Experience translating business requirements into technical designs.
• Collaborate with analysts, testers and distributed teams.

Responsibilities

• Analyse business requirements and translate them into technical designs.
• Develop, test, and maintain applications using COBOL, JCL, VSAM, and DB2.
• Perform application enhancements, bug fixes, and production support.
• Support batch and online processing using CICS.
• Debug and resolve abends and system issues.
• Ensure data integrity and application reliability.
• Collaborate with business analysts, testing, and distributed teams.
• Participate in code reviews, documentation, and coding standards.
• Support system integrations, migrations, and modernization initiatives.

Skills

JCL

DB2 Mainframe

VSAM

CICS

Mainframe Processing

Debugging/ Abend

Production Support

Job description

Artifintech is seeking a skilled Mainframe Developer to design, develop, maintain, and support enterprise mainframe applications. The role emphasizes COBOL, JCL, VSAM, and DB2 expertise to support batch and online processing and system integrations.

The candidate should have strong debugging skills, experience with CICS, abend resolution, and a focus on data integrity and reliability across production environments. Collaboration with analysts and distributed teams is essential.