Full Time

Quality Engineer – AI & Test Automation

Virtusa

Full-time

IT Services and IT Consulting

Pleasanton, CA

$130,000 - $190,000* / year (about $63–$91 an hour)

Job 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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