OBJECTIVES
- As a QA Engineer at Amanotes, you will be responsible for the invisible backbone of our ecosystem — ensuring that our Internal Operations Systems (music pipeline, AI-driven creative workflows,… ) and our Game Facing System (asset delivery, game operation,…) perform in perfect harmony.
ABOUT THE POSITION
As a QA Engineer, you will ensure our products meet rigorous quality standards through expert manual and automated testing. We value a holistic view of quality and seek someone eager to integrate AI-assisted tools to streamline workflows and solve complex infrastructure challenges.
WHAT YOU WILL DO
Multi-Project Quality Oversight: Define and implement the QA strategy for multiple concurrent products, ensuring consistent quality standards.
AI-Native Automation: Leverage Large Language Models (LLMs) to generate test scenarios, maintain self-healing scripts that don't break when the UI changes, and simulate realistic user behavior.
Bug Lifecycle Management: Direct the flow of bug reporting, triaging, and verification, providing clear, actionable data to the engineer and product teams.
Cross-Functional Collaboration: Partner with developers to integrate automated testing into CI/CD pipelines and document results for cross-functional visibility.
QUALIFICATIONS
Technical Proficiency: Strong knowledge of software testing methodologies and tools such as Selenium, JUnit, or TestNG.
Programming Mastery: Proficiency in Java, Python, or JavaScript to build and run sophisticated automated test scripts.
Soft Skills: Excellent analytical skills, attention to detail, and the ability to communicate technical results to non-technical teams.
Mindset: A curious mindset with the ability to work independently and a willingness to learn new technologies rapidly.
NICE TO HAVE
AI-Native QA Mindset: Experience implementing AI-assisted testing tools like ScoutQA, Mabl, Testim, or Playwright to build self-healing suites.
CI/CD & DevOps integration: A deep understanding of version control systems (Git) and continuous integration/deployment pipelines.
Performance Engineering: Hands-on experience with load and stress testing tools (k6, Locust, or JMeter) to simulate high-concurrency traffic.
Skills Required
- Experience using AI-assisted testing tools
- Proficiency in testing RESTful APIs and WebSockets
- Strong coding skills in Python, TypeScript, or C#
- Familiarity with observability tools
- Experience in a fast-paced CI/CD environment
