Quality Engineer- Test Automation
Listed on 2026-07-06
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Software Development
AI QA / Validation Engineer
Company Overview
If you are passionate about water and technology, Trinnex is the place for you! Trinnex is a visionary company that is transforming the way water resources are managed and protected. By combining cutting-edge digital technologies, such as sensor/IoT data, models, geospatial data, and AI/machine learning, we create innovative, smart, and scalable solutions that make a difference. Whether it's optimizing water supply and demand, detecting leaks and anomalies, or enhancing water quality and resilience, Trinnex delivers value and impact to public sector clients across the country.
Job DescriptionLocation for this role is Wayne, PA and with an expectation of being in Wayne, PA office 1–2 days per week.
Trinnex is seeking a Quality Engineer with strong experience in modern test automation, cloud-based testing, and AI-assisted quality engineering, including hands‑on use of AI-assisted tooling, agents, and skills. This role is responsible for designing, developing, and maintaining automated testing across APIs, web applications, mobile applications, and performance/load testing scenarios. The position also supports continuous improvement of QA processes, test reliability, CI/CD integration, AI-assisted QA enablement, and technical mentoring for QA team members.
Dutiesand Responsibilities
- Designs, develops, and maintains automated test suites across API, web, mobile, and performance testing domains.
- Builds reusable test utilities, fixtures, and frameworks that improve reliability, reduce maintenance effort, support consistent test data, and reduce flakiness.
- Develops mobile test automation, including simulator and emulator execution, mobile authentication flows, API mocking strategies, and mobile CI/CD integration.
- Develops and applies AI-assisted tooling, agents, and skills to support test review, debugging, documentation, automation maintenance, and developer productivity.
- Supports scalable cloud-based load testing using Google Cloud Platform, Kubernetes, and related infrastructure practices.
- Analyzes requirements, test results, defects, logs, traces, and performance metrics to identify risks, root causes, business impact, and opportunities for quality improvement.
- Integrates automated tests into CI/CD pipelines with effective reporting, parallel execution, environment management, and failure analysis.
- Establishes QA best practices, coding standards, documentation, and troubleshooting guidance for automation and cloud-based testing.
- Reviews test automation pull requests and provides clear feedback on reliability, maintainability, and quality.
- Mentors junior QA analysts and collaborates with development, product, and operations teams to improve testing outcomes.
- Performs other duties as required.
- Bachelor’s Degree
- 5 years of relevant experience (or equivalent directly related experience in lieu of a college degree)
- Domestic and/or international travel may be required.
- Hands‑on experience with Playwright for complex end‑to‑end testing scenarios, including authentication, visual testing, and multi‑step workflows.
- Hands‑on experience with Maestro for mobile test automation, preferably with React Native or native iOS/Android applications.
- Background in API testing, authentication flows, identity platforms, or related application integration testing.
- Experience deploying or managing Kubernetes workloads on GKE or similar managed Kubernetes platforms.
- Advanced experience with web, API, mobile, and load testing frameworks such as Playwright, Jest, Maestro, Artillery, or similar tools.
- Strong experience developing automation with Node.js, Type Script, and modern JavaScript patterns.
- Experience with iOS and Android mobile testing, including simulator and emulator management, mobile authentication flows, YAML‑based test definitions, and mobile CI/CD integration.
- Ability to design maintainable automation frameworks using async patterns, error handling, reusable components, and clean coding practices.
- Working knowledge of cloud platforms such as Google Cloud Platform (GKE), Kubernetes, Docker, CI/CD pipelines, and related quality engineering practices.
- Required…
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