Quality Engineer – AI & Test Automation

Job Title: Quality Engineer – AI & Test Automation

Duration: Long-term

The AI Automation Quality Engineer is responsible for developing intelligent and scalable test automation solutions using AI/GenAI, modern automation frameworks, and engineering practices to improve software quality, test coverage, and delivery speed.

This is a hands-on Quality Engineering and automation development role, not a primarily manual QA/testing position.

Key Responsibilities

• Develop and maintain automated testing frameworks for UI, API, integration, regression, and end-to-end testing.
• Build AI-assisted test automation using GenAI tools to generate test cases, test data, automation scripts, and validation scenarios.
• Use AI to identify test coverage gaps, regression risks, defects, and potential failure scenarios.
• Automate API testing for REST/SOAP services and validate integrations across enterprise applications.
• Develop automated regression suites and integrate them into CI/CD pipelines.
• Use AI to accelerate test-script generation, test maintenance, defect analysis, root-cause analysis, and test documentation.
• Analyze test results, application logs, API responses, and observability data to identify root causes and troubleshoot complex issues.
• Integrate automation with tools such as GitHub Actions, Azure DevOps, Jenkins, Datadog, and other CI/CD or observability platforms.
• Participate in story refinement and design discussions to identify acceptance-criteria gaps, testability concerns, dependencies, and test scenarios before development begins.
• Work closely with developers to implement shift-left testing and build automation within the sprint.
• Design reusable automation components and maintainable test frameworks.
• Develop and manage test data required for automated testing.
• Provide automated quality metrics and test results to support release-readiness decisions.

Pega Testing Experience

Experience with Pega application testing is highly preferred, including:

• Pega case-management and workflow testing
• Pega Constellation UI
• Case Types, Stages, Assignments, SLAs and business rules
• Role/persona-based workflow validation
• Pega REST/API integrations
• End-to-end testing across Pega and downstream enterprise applications
• PegaUnit or other Pega testing capabilities

AI / GenAI Quality Engineering

Experience or working knowledge of:

• AI-assisted test-case generation
• AI-assisted automation-code generation with github copilot
• Automated test-data generation
• AI-assisted identification of test-coverage gaps
• AI-assisted defect/root-cause analysis
• Using GenAI development tools to improve QE productivity
• Testing AI/GenAI-enabled application capabilities
• Understanding the challenges of validating non-deterministic AI-generated outputs

Must-Have Technical Skills

Programming & Automation

• Java
• Object-Oriented Programming
• Selenium WebDriver/Karate
• TestNG / JUnit
• Page Object Model (POM)
• XPath / CSS Selectors
• Data-driven, Hybrid and BDD automation frameworks
• Gherkin
• Maven or Gradle

API & Integration Testing

• REST Assured
• Postman
• SOAP UI
• REST / SOAP
• JSON / XML
• HTTP methods, status codes, headers, authentication and error handling

Database

• SQL
• Backend/database validation
• SQL Developer or equivalent database tools

Source Control & CI/CD

• Git / GitHub
• GitHub Actions
• Jenkins and/or Azure DevOps
• Ability to create and maintain automated test jobs/pipelines

Preferred Technical Skills

• Playwright/Selenium/Karate
• Groovy
• YAML
• VS code
• JDK 8/17/21
• Sauce Labs or equivalent cross-browser/cloud testing platform
• Allure / Extent Reports / ReportNG
• Log4j / SLF4J
• JIRA
• AWS or Azure
• Observability platforms such as Datadog
• Performance and accessibility testing

Framework / Design Knowledge

Strong understanding of automation design patterns and reusable framework development, including:

• Page Object Model
• Data-driven frameworks
• Hybrid frameworks
• BDD
• Reusable automation components
• Appropriate software design patterns for automation frameworks

Preferred Domain Experience

• Pega-based enterprise applications
• Healthcare, dental, insurance, claims, clinical, enrollment, provider, or contact-center applications
• Java/Spring Boot APIs and microservices
• Large-scale enterprise modernization programs