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Test Engineer

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: Capgemini
Full Time position
Listed on 2026-10-17
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation, AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 51000 - 80000 USD Yearly USD 51000.00 80000.00 YEAR
Job Description & How to Apply Below

We are seeking a highly skilled and experienced PLM Test Automation Engineer to join our Engineering and Digital Transformation team. As a PLM Test Automation Engineer, you will play a key role in ensuring the quality, reliability, and release readiness of solutions built on the 3

DEXPERIENCE (3DX) platform.

You will be responsible for designing, developing, maintaining, and executing automated test scripts, while collaborating with business stakeholders, functional teams, and development teams to validate end-to-end business processes and system integrations.

More importantly, you will leverage AI-driven testing techniques and automation best practices to improve testing efficiency, defect detection, quality assurance, and release predictability.

Key Responsibilities:

Test Automation Development & Maintenance:

Design, develop, maintain, and execute automated test scripts for the 3

DEXPERIENCE (3DX) platform

Create scalable and reusable automation frameworks to support functional, regression, integration, and smoke testing

Develop automated test cases based on business requirements, user stories, and functional specifications

Maintain automation repositories, test assets, and testing documentation

Ensure automation scripts are aligned with application changes and releases

Optimize test automation execution to improve efficiency and maximize test coverage

Participate in code reviews and automation framework enhancements

Apply AI-assisted testing capabilities for:

Intelligent test case generation and optimization

Self-healing test automation and script maintenance

Automated test impact analysis

Predictive defect detection and quality assessment

Execute automated and manual testing activities as required

Validate application functionality across business processes, workflows, and integrations

Analyze test execution results and identify functional, system, and integration issues

Log, track, prioritize, and retest defects using established defect management processes

Collaborate with developers and functional teams to investigate and resolve issues

Ensure defects are properly documented with reproducible test evidence

Support root cause analysis activities and recommend quality improvements

Leverage AI/ML-driven tools and techniques for:

Automated defect classification and triaging

Defect pattern recognition and trend analysis

Risk-based testing recommendations

Intelligent failure prediction and analysis

Quality Assurance & Release Validation

Participate in System Integration Testing (SIT), User Acceptance Testing (UAT), and release validation activities

Validate end-to-end business processes and system integrations across environments

Ensure comprehensive test coverage for new features, enhancements, and releases

Perform smoke testing and regression testing to validate deployment readiness

Support release activities through test execution, validation, and reporting

Collaborate with Release Managers, Product Owners, and business stakeholders to ensure quality objectives are met

Contribute to continuous improvement initiatives for testing processes and release efficiency

Apply AI-driven quality engineering practices for:

Predictive quality analytics

Release readiness assessment

Test coverage optimization

Automated quality reporting and recommendations

Partner with business stakeholders, Product Owners, functional analysts, and development teams to understand requirements and testing needs

Participate in Agile ceremonies, planning sessions, and testing reviews

Provide regular testing status updates and quality metrics to project stakeholders

Create and maintain dashboards for automation coverage, test execution, and defect trends

Identify opportunities to improve automation effectiveness and testing processes

Recommend best practices for automation frameworks, tools, and quality assurance methodologies

Utilize AI-powered insights for:

Test execution trend analysis

Automation effectiveness measurement

Predictive reporting and issue forecasting

Intelligent recommendations for process optimization

Mandatory

Skills:

Minimum of 5 years of experience in Test Automation Engineering, Quality Assurance, and Software Testing for enterprise applications PLM & 3

DEXPERIENCE Expertise (3DX platform, PLM processes, engineering and manufacturing workflows) Test Automation Development (Selenium, Playwright, Test Complete, VB Script, automation framework design) Functional & Integration Testing (functional testing, regression testing, system integration testing

The pay range that the employer in…

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