Quality Engineer - AI & Test Automation

Virtusa Corp

  • Pleasanton, CA
  • 8 days ago

    Highlights

    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. Build AI-assisted test automation using GenAI tools to generate test cases, test data, automation scripts, and validation scenarios.

    Numbers & Facts

    LocationPleasanton, CA

    Description

    Job Requirements

    Job Description

    Quality Engineer - AI & Test Automation

    Role Summary

    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.
    • 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

    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

    • Reusable automation components
    • Preferred Domain Experience
    • Pega-based enterprise applications
    • Healthcare dental insurance claims clinical enrollment provider or contactmcenter applications
    • Java Spring Boot APIs and microservices
    • Large scale enterprise modernization programs
    • Candidate Expectations
    • Candidates whose recent experience is predominantly manual QA testing without significant hands-on automation development should not be submitted

    Work Experience

    5-7Years

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