5-7 years of hands-on experience with IBM Mainframe development
Proficiency in Java application development
Familiarity with Spring Boot and Microservices architecture
Experience with COBOL, JCL, DB2, VSAM, and CICS
Proven track record in enhancing and supporting enterprise applications
Demonstrated skills in debugging and troubleshooting production issues
Solid understanding of SDLC and Agile methodologies
Responsibilities
Design and maintain enterprise Mainframe applications
Develop applications using COBOL, CICS, DB2, VSAM, and JCL
Implement and enhance Java applications with Spring Boot and Microservices
Create and maintain batch jobs and utility programs
Translate business requirements into technical solutions
Troubleshoot production issues and defects
Participate in Agile activities and code reviews
Benefits
Opportunities for professional development and training
Collaborative work environment with cross-functional teams
Participation in Agile development practices
Access to cutting-edge technology and tools
Potential for involvement in diverse projects across platforms
Full Job Description
Mainframe developer
Remote
Required Skills & Experience
8?12+ years of experience in mainframe development, with strong hands-on expertise in SAS (Base SAS, SAS macros, PROC SQL, DATA step programming).
Strong working knowledge of IBM z/OS, JCL, and mainframe batch processing concepts.
Proficiency in Python for data engineering or scripting use cases; experience running Python in a Unix/Linux shell environment (z/OS USS experience strongly preferred).
Working knowledge of COBOL and SQL, with the ability to evaluate and recommend appropriate target languages based on program complexity and logic patterns.
Experience with legacy-to-modern code conversion or migration projects, ideally involving AI-assisted or automated code generation tools.
Strong understanding of data validation and reconciliation methodologies for migration projects (output parity, row-count validation, business-rule testing).
Demonstrated ability to lead or mentor a technical team in a fast-paced, milestone-driven delivery environment.
Excellent communication skills, with experience engaging directly with client architects, SMEs, and business stakeholders.
Experience in financial services or other regulated industries is highly preferred.
Preferred / Nice-to-Have
Prior experience with SAS-to-Python or SAS-to-Spark conversion tooling or accelerators.
Familiarity with cloud data platforms (AWS, Databricks, Snowflake) for downstream modernization context.
Exposure to DB2 on mainframe and related data access patterns.
Prior consulting or IT services delivery experience, particularly within large enterprise modernization programs.
