Automation Engineer with AI

Key Requirements

• Strong hands-on experience developing and maintaining test automation frameworks.
• Experience with UI, API, integration, regression, and end-to-end test automation.
• Strong experience with API testing, including REST/SOAP services and enterprise integrations.
• Experience developing reusable automation components and automated regression suites.
• Experience integrating automation into CI/CD pipelines.
• Hands-on experience using AI/GenAI toolsto improve test automation and Quality Engineering.
• Experience with AI-assisted test-case generation, test-data generation, automation-code generation, and test-script maintenance.
• Experience using tools such as GitHub Copilotfor AI-assisted automation development.
• Ability to use AI to identify test coverage gaps, regression risks, defects, and potential failure scenarios.
• Experience with AI-assisted defect and root-cause analysis.
• Experience testing AI/GenAI-enabled applicationsand understanding the challenges of validating non-deterministic AI-generated outputs.

Pega Testing Experience Highly Preferred

Candidates with hands-on Pega application testing experience are highly preferred, especially:

• Pega case management and workflow testing
• Pega Constellation UI
• Case Types, Stages, Assignments, SLAs, and business rules
• Pega-based enterprise applications

Preferred Technical / Domain Experience

• Java / Spring Boot APIs and Microservices
• Healthcare, dental, insurance, claims, clinical, enrollment, provider management, or contact-center applications
• Large-scale enterprise modernization programs
• Experience working with enterprise applications and complex integrations

Thanks

Thamiz