Quality Test Automation Engineer

Cogent Inc
United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$90,000.0 - $148,000.0
Working hours
Regular working hours
Job source

Tech stack

Testing (Software) Clean Code Principles JavaScript (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Android Software Development IOS Applications Apple IOS User Authentication Automation of Tests Cloud Computing Code Review
+22 more
Continuous Integration Software Debugging Identity and Access Management Mobile Application Software Load Testing Node.Js Mockito Test Data TypeScript Web Applications Web Testing YAML Google Cloud Performance Testing Integration Tests Kubernetes Playwright React Native Software Coding Api Management Docker SDET

Job description

We are seeking a Quality Engineer with strong experience in modern test automation, cloud-based testing, and AI-assisted quality engineering. This role is responsible for designing, developing, and maintaining automated tests across APIs, web applications, mobile applications, and performance or load-testing scenarios. The position also supports continuous improvement of QA processes, test reliability, CI/CD integration, AI-assisted QA enablement, and technical mentoring. The successful candidate will work with limited supervision, apply sound judgment, collaborate across teams, and communicate technical information clearly to both technical and non-technical stakeholders.

Primary Skills: Playwright, TypeScript, Node.js, API Testing, Web Test Automation, Mobile Test Automation, Performance Testing, CI/CD, GCP, Kubernetes, Docker, AI-Assisted QA

Secondary Skills: Jest, Maestro, Artillery, React Native Testing, Authentication Testing, API Mocking, Cloud Load Testing, YAML, Observability, Debugging, Test Framework Design, Code Review, Mentoring

What You’ll Do

· Design, develop, and maintain automated test suites across API, web, mobile, and performance-testing domains.

· Build reusable test utilities, fixtures, and frameworks that improve reliability, reduce maintenance effort, support consistent test data, and minimize test flakiness.

· Develop mobile test automation, including simulator and emulator execution, mobile authentication flows, API-mocking strategies, YAML-based test definitions, and mobile CI/CD integration.

· Develop and apply AI-assisted tooling, agents, and reusable skills to support test review, debugging, documentation, automation maintenance, workflow improvement, and developer productivity.

· Support scalable cloud-based load testing using Google Cloud Platform, Kubernetes, and related infrastructure practices.

· Analyze requirements, test results, defects, logs, traces, and performance metrics to identify risks, root causes, business impact, and opportunities for quality improvement.

· Integrate automated tests into CI/CD pipelines with effective reporting, parallel execution, environment management, and failure analysis.

· Establish QA best practices, coding standards, technical documentation, and troubleshooting guidance for automation and cloud-based testing.

· Review test-automation pull requests and provide clear, actionable feedback on reliability, maintainability, coverage, and overall quality.

· Mentor junior QA analysts and collaborate with development, product, and operations teams to improve testing outcomes throughout the software-development lifecycle.

· Perform other duties as required.

Requirements

· 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, TypeScript, 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 asynchronous patterns, robust error handling, reusable components, and clean coding practices.

· Working knowledge of Google Cloud Platform, including GKE, Kubernetes, Docker, CI/CD pipelines, and related cloud 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 authority, navigate ambiguity, and manage multiple priorities.

Qualifications

· Bachelor’s degree.

· 5+ years of relevant experience in quality engineering, software test automation, SDET, or a related role.

· Equivalent additional directly related experience will be considered in lieu of a college degree.

Preferred Qualifications

· 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 and Android applications.

· Background in API testing, authentication flows, identity platforms, or related application-integration testing.

Benefits & conditions

Pay: $90,000.00 - $148,000.00 per year

About the company

Join a visionary digital solutions organization transforming how water resources are managed and protected. The organization combines sensor and IoT data, models, geospatial information, cloud platforms, and artificial intelligence to build innovative, scalable solutions for public-sector clients. Its work supports water supply and demand optimization, leak and anomaly detection, water-quality improvement, operational resilience, and data-driven decision-making.

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