Senior QA Engineer, Horizons

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Requirements:

• Strong technical foundation in software testing and quality assurance, with a proven track record of ensuring high product standards through both manual and automated testing.
• Hands-on experience designing, executing, and maintaining manual test plans and test cases, including exploratory and regression testing.
• Proficiency in test automation tools for web and mobile, such as Playwright, Cypress, Selenium, and Appium (or similar).
• Proficiency in contract testing and API testing frameworks, such as Postman, RestAssured (or similar).
• Ability to write and debug automated tests in JavaScript, TypeScript, Kotlin, or similar languages.
• Strong understanding of software development lifecycle (SDLC), agile methodologies, and QA processes.
• Experience in setting up observability and reporting mechanisms for test execution and coverage.
• Excellent communication skills, with the ability to explain and summarize complex technical concepts to both technical and non-technical stakeholders.
• Comfortable working in a fast-paced startup environment, adapting to changing priorities and driving impact.

Responsibilities:

• Develop, maintain, and improve test automation frameworks for web and mobile platforms.
• Leverage AI-driven automation tools to increase test coverage and efficiency.
• Collaborate with Engineering, DevOps, and Product teams to identify gaps in test coverage and define clear quality metrics.
• Collaborate closely with the Product team to gain early visibility into the most critical initiatives, contributing proactively to the definition and refinement of user stories.
• Design, maintain, and execute manual test cases for both regression and exploratory testing scenarios.
• Create and update comprehensive test plans and test documentation, ensuring alignment with functional requirements.
• Identify, document, and report defects and issues clearly and accurately using Jira, following up on their resolution.
• Perform root cause analysis on production issues and collaborate with Engineering to implement preventive solutions.
• Define and monitor key quality indicators (e.g., test coverage, flakiness rate, defect leakage) to drive continuous, data-informed improvements.