‍

Key Responsibilities:

• Design, develop, maintain, andsupport COBOL applications on IBM mainframe (z/OS), including both batch andonline (CICS/IMS) programs

• Work hands-on with IMS (DB/DC)and DB2 for mainframe data access, including IMS segment/database design, DB2schema design, SQL, and performance tuning

• Build and maintain deepfunctional and technical knowledge of the existing mainframe platform,including business logic embedded in legacy COBOL and JCL code

• Support production mainframesystems: troubleshoot, debug, and resolve incidents across batch and onlineprocessing

• Partner with architecture andplatform teams to identify and assess realistic opportunities for mainframemodernization and transformation toward cloud-native architectures (AWS, Go,Python)

• Contribute to modernizationinitiatives such as code and data migration, re-platforming, and API-enablementof legacy mainframe functionality

• Build proof-of-concepts andprototypes in Go and/or Python to validate modernization approaches forspecific mainframe components

• Document current-statemainframe architecture, data flows, and business rules to supporttransformation roadmaps

• Collaborate with architects,data engineers, and DevOps teams on hybrid mainframe-to-cloud integrationpatterns

• Follow appropriate changemanagement, testing, and compliance practices given the criticality of thesystems involved

• Mentor junior mainframe developers and share modernization and transformation best practices

‍

‍

Required Qualifications:

• Bachelor's degree in ComputerScience, Engineering, or a related field, or equivalent practical experience

• 8–12 years of hands-onmainframe development experience, with deep, current expertise in COBOL

• Strong, hands-on experiencewith IMS (DB/DC) for hierarchical database design and transaction processing

• Strong, hands-on experiencewith DB2 for z/OS, including SQL, schema design, and performance tuning

• Experience with JCL, VSAM,CICS, and standard mainframe batch/online processing patterns

• Working knowledge of core AWSservices (EC2, S3, Lambda, IAM) sufficient to participate credibly inmodernization and transformation discussions

• Working proficiency in Goand/or Python, particularly for prototyping modernization approaches andbuilding supporting tooling

• Demonstrated ability to read,reverse-engineer, and clearly document complex legacy COBOL/JCL business logic

• Strong analytical skills toassess mainframe components for transformation feasibility, risk, andcomplexity

• Experience with mainframechange management and version control tools (e.g., Endevor, ChangeMan) andmainframe testing practices

• Strong debugging andproduction-support skills for mission-critical mainframe systems

• Excellent communication skillsto bridge legacy mainframe teams and modern cloud/engineering teams

‍

AI Knowledge & AI-Assisted Development (Required):

• Practical use of AI coding/assistant tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar)to accelerate legacy code comprehension, COBOL/JCL analysis, and documentation of business rules embedded in mainframe code

• Able to use AI tools to help identify and scope mainframe modernization and transformation opportunities, such as summarizing program logic, mapping dependencies, and drafting candidate migration approaches

• Able to critically review and validate AI-generated code, documentation, and analysis for correctness before relying on it in production systems or transformation decisions

• Understanding of secure and compliant AI tool usage, including never entering PHI, member data, or other sensitive information from mainframe systems into prompts or external AI tools

• Able to identify where AI-driven automation can improve modernization velocity, such as assisted code translation or test-case generation for legacy validation, and champion adoption within the team

‍

Preferred Qualifications:

• Experience in the US health insurance or payer domain, particularly mainframe-based claims processing, eligibility, or core administration systems

• Exposure to healthcare data standards (X12 EDI, HL7, FHIR)

• Prior experience on mainframe-to-cloud modernization or re-platforming initiatives

• Experience with mainframe-to-cloud integration or modernization tooling (e.g., AWS Mainframe Modernization, IBM Z and Cloud Modernization Stack, or similar)

• Familiarity with additional mainframe tools such as File-AID, Abend-AID, or similar

• Relevant certifications: IBM mainframe certifications, AWS Certified Cloud Practitioner, or AWS Certified Solutions Architect

‍