Lead Mainframe Engineer

• Key Responsibilities
  Lead discovery and reverse engineering across COBOL, JCL, CICS, DB2, IMS, VSAM, MQ, copybooks,
  batch workloads, interfaces, and supporting documentation.
• Use AI and specialized analysis tools for code understanding, business rule extraction, call graph
  generation, dependency mapping, data lineage, documentation, and test scenario discovery.
• Validate AI-generated outputs with Mainframe SMEs, business SMEs, architects, and quality teams,
  ensuring traceability to source evidence.
• Create application inventories, business rule catalogs, functional and technical specifications, processf lows, interface mappings, data mappings, and modernization backlogs.
• Identify candidate APIs, services, events, reusable components, and modernization options such as rehost,
  replatform, refactor, rewrite, replace, or retire.
• Support estimation, migration sequencing, parallel testing, reconciliation, cutover planning, and functional
  equivalence validation.
• Lead cross-functional teams and communicate progress, risks, dependencies, decisions, and outcomes to
  program leadership and client stakeholders.

• 15+ years of Mainframe engineering, architecture, application assessment, or modernization experience.
• Deep knowledge of COBOL, JCL, CICS, DB2, IMS, VSAM, MQ, batch processing, schedulers, and Mainframe integration patterns.
• Leadership experience in at least two large-scale Mainframe modernization programs, preferably involving
• COBOL-to-Java or cloud transformation.
• Hands-on understanding of Generative AI, code intelligence, static analysis, automated documentation, RAG, vector search, knowledge graphs, or agentic workflows.
• Expertise in business rule extraction, call graph and impact analysis, functional decomposition, data lineage, interface analysis, and service identification.
• Strong stakeholder management, workshop facilitation, technical writing, risk management, and executive communication skills.

Preferred Qualifications

• Experience with Azure, AWS, or Google Cloud modernization programs.
• Experience in banking, brokerage, payments, insurance, or another regulated industry.
• Exposure to dual-run, reconciliation, regression testing, and production cutover for critical systems.
• Cloud, TOGAF, PMP, SAFe, or comparable certification.

Key Deliverables

• Area Expected Outputs
• Reverse Engineering Application inventory, call graphs, dependency maps, business rules, data lineage, process flows
• Modernization Readiness Functional and technical specifications, service/API candidates, target-state inputs, migration backlog

Validation

• Traceability matrix, SME review evidence,
  comparison scenarios, regression and reconciliation
  scope
• Knowledge Transfer Governed knowledge repository, runbooks, technical handover, and training materials