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Quality Engineer- Test Automation

Job in Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for: Trinnex
Full Time position
Listed on 2026-08-02
Job specializations:
  • Software Development
    AI QA / Validation Engineer
Salary/Wage Range or Industry Benchmark: 90230 - 148886 USD Yearly USD 90230.00 148886.00 YEAR
Job Description & How to Apply Below

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 Description

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.

Work is performed under limited supervision and requires sound judgment, cross‑functional collaboration, and the ability to communicate technical information clearly to both technical and non‑technical stakeholders.

Duties and 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.

#LI-DNI

Skills & Abilities
  • 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 hands‑on experience using AI‑assisted tooling, agents, and skills to support testing, debugging, documentation, code review, workflow automation, or quality engineering outcomes.
  • Ability to analyze complex failures using debugging tools, logs, traces, and performance data; troubleshoot reliability issues; and reduce test flakiness.
  • Strong communication, documentation, collaboration, presentation, and code review skills, with the ability to explain complex technical concepts clearly.
  • Ability to mentor others, facilitate technical discussions, influence without direct…
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