Job Description
Job Description
- Experience: 11+ years in Software QA, with 5+ years specifically in AI/GenAI implementation and legacy system modernization.
- Key Responsibilities

Own end-to-end testing delivery for the mainframe modernization program, ensuring on-time, risk-controlled validation across all phases (FUT → SIT → Parallel → NFT → UAT) aligned with overall program milestones, releases, and go-live readiness.
- Proven experience in mainframe projects (testing, or migration programs).
- Deep expertise in:
- Mainframe technologies: COBOL, JCL, DB2, CICS, MQ
- Mainframe modernization / migration programs
- Strong experience in
- Test governance & delivery
- Drive AI-enabled test lifecycle.
- Automation strategy
- Mainframe automation
- Experience to:
- AWS System
- DevOps tools (Jenkins, GitHub, Pipelines)
- Own testing delivery plan aligned to program roadmap.
- Define and control test scope vs timeline vs quality trade-offs
- Establish traceable coverage model
- Define and track delivery KPIs.




- Lead risk & issue management.
- Mastery of mainframe automation tools (e.g., Topaz, Galasa, Micro Focus UFT/LeanFT).
- Solid expertise in automation/Scripting for Mainframe applications, Mainframe testing, Mainframe modernization, AWS Certified, IBM DB2, Python, AI
- Proficiency in programming languages such as Python, Playwright, Java, or Rexx.
- Drive the adoption of GenAI for automated test case generation, defect root-cause analysis.
- Utilize AI to generate synthetic test data while maintaining data privacy compliance across large-scale mainframe environments.
- Legacy Code Comprehension - Use AI-assisted tooling to understand complex and undocumented mainframe code, shortening learning curves and predicting potential failure points.
- Familiarity with integrating AI-driven frameworks, Large Language Models (LLMs), and prompt-based testing tools into the SDLC.

📌 Test Manager (Bengaluru)
🏢 Wipro
📍 Bengaluru