Senior QA Engineer
New
J
JobgetherSoftware Quality Engineering
Based in the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonCypressJavascriptTypeScriptC#API testingSeleniumCI/CDPlaywright
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field.
- Demonstrated professional experience in Software Quality Assurance or Quality Engineering.
- Strong programming skills in Python, JavaScript, TypeScript, C#, or a comparable language.
- Proven experience building and maintaining test automation frameworks at scale using Playwright, Selenium, Cypress, or similar technologies.
- Strong understanding of end-to-end testing strategy, risk-based testing, regression testing, and quality engineering principles.
- Hands-on experience using AI/LLM-powered tools such as GitHub Copilot, Claude, ChatGPT, Cursor, or comparable solutions.
- Ability to apply prompt engineering techniques and evaluate AI-generated outputs for accuracy.
- Experience with API testing, SQL-based test-data validation, and CI/CD pipeline integration.
- Experience working within Agile development teams including sprint planning and test estimation.
- Strong analytical, troubleshooting, and problem-solving abilities.
- Excellent written and verbal communication skills.
- Proactive, self-directed approach with a demonstrated ability to mentor others.
Responsibilities
- Define and execute AI-augmented quality strategies across functional, integration, API, regression, and automation testing layers.
- Design, architect, and maintain scalable automated test frameworks using modern technologies such as Playwright, Selenium, or Cypress.
- Apply AI and LLM-powered tools to accelerate test case creation, automation scripting, defect analysis, and test-data generation.
- Develop intelligent testing capabilities such as self-healing tests, automated test selection, and predictive defect analysis.
- Integrate reliable automated checks and quality gates into CI/CD pipelines and deployment workflows.
- Collaborate with engineering, product, and data teams to promote shift-left testing and quality throughout the SDLC.
- Mentor and coach QA team members on quality engineering best practices and responsible AI adoption.
- Identify quality gaps and establish repeatable, scalable testing processes across engineering teams.
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