Job Description

We are seeking a highly skilled QA Automation Lead to define and execute the testing strategy for a Pod responsible for modernizing legacy applications.

You will lead the QA team, oversee the implementation of AI-generated test cases, and ensure the functional equivalence between existing mainframe applications and their Java-based target solutions.

This role requires expertise in modern automation frameworks, AI-assisted testing, scripting, and CI/CD integration, as well as the ability to establish testing best practices and continuously improve quality processes.

Key Responsibilities

• Lead and mentor the Pod's Testing team, promoting quality best practices and continuous improvement.
• Define and implement the overall testing strategy for modernization initiatives.
• Execute and validate automated test cases generated by the AISpecTest platform against converted Java code.
• Develop automation scripts for:
  • Test execution
  • Test data injection
  • Result collection
  • Reporting and analysis
• Integrate automated test suites into CI/CD pipelines to enable continuous testing.
• Validate isofunctional parity between legacy mainframe systems and modern Java applications.
• Collaborate with development and architecture teams to ensure comprehensive test coverage.
• Provide feedback on the quality and effectiveness of AI-generated test cases to improve automated testing capabilities.
• Monitor testing metrics and continuously optimize automation processes and quality standards.

Required Skills & Experience

• 5+ years of experience in QA Automation or Software Testing.
• Proven experience leading testing teams and defining enterprise testing strategies.
• Advanced expertise in automated testing frameworks, including:
  • JUnit
  • RestAssured
  • Cucumber
  • Karate
  • Selenium (or equivalent)
• Strong scripting skills in:
  • Python
  • Java
• Experience with:
  • Docker
  • Kubernetes (preferred)
• Knowledge of Specification-Driven Development (SDD) and test case design from functional specifications.
• Experience applying Artificial Intelligence and Large Language Models (LLMs) to:
  • Test generation
  • Test augmentation
  • Automated validation
• Hands-on experience integrating automated testing into CI/CD pipelines using:
  • Jenkins
  • GitLab CI
  • GitHub Actions
• Strong analytical, leadership, and problem-solving skills.

Nice to Have

• Experience with isofunctional testing, golden master, or parity testing methodologies.
• Knowledge of batch process validation and output comparison between JCL and Spring Batch.
• Experience handling EBCDIC data and character set conversion.
• Performance testing experience using tools such as:
  • JMeter
  • Gatling
• Previous experience in legacy system modernization or mainframe migration projects.