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Lead Software Engineer

Job in Alpharetta, Fulton County, Georgia, 30004, USA
Listing for: Virtusa
Full Time position
Listed on 2026-11-01
Job specializations:
  • Software Development
    AI QA / Validation Engineer, Software Testing
Job Description & How to Apply Below
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 UICase Types, Stages, Assignments, SLAs and business rules

Experience or working knowledge of:

AI-assisted test-case generationAI-assisted automation-code generation with github copilot

Automated test-data generationAI-assisted identification of test-coverage gapsAI-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

Job Summary Job number: P-100904

Profession:
Other

Experience:

5-7

Years
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