Software QA Analyst ensuring quality, reliability, and usability in building automation software products. Collaborating with teams to shape testing strategies and improve QA practices.
About the role
- Automation QA Engineer developing testing processes for PayPay's New Bank Project. Collaborating with in-house engineers to ensure high-quality software delivery in a dynamic environment.
Responsibilities
- Analyze testing requirements to develop comprehensive test scenarios for various test levels
- Design and create detailed test cases that validate conformance to functional and non-functional requirements
- Prepare and manage essential test data, tools, and environments for test execution
- Execute test cases and scripts, meticulously documenting results
- Drive quality improvement with a strong focus on test automation, while also taking ownership of comprehensive validation activities that include manual testing
- Log, track, and verify defects, ensuring accurate documentation and timely resolution
- Collect, organize, and analyze test results to provide thorough reports on all QA activities
- Analyze testing outcomes and recommend effective solutions for identified issues
- Maintain and update comprehensive test documentation, ensuring coverage for new features and robust regression testing
- Support knowledge management and foster collaboration by actively participating in testing discussions and contributing to continuous improvement through lessons learned
- Act as a Subject Matter Expert (SME) for designated modules, providing critical domain knowledge and support to the QA team
- Provide guidance and support to junior QA engineers, including onboarding and training
- Leverage AI tools such as NotebookLM, Gemini, Cursor AI, GitHub Copilot, and OpenAI APIs to accelerate test case design, automation, and exploratory testing
- Apply prompt engineering and RAG (Retrieval-Augmented Generation) techniques to validate LLM-driven applications, ensuring accuracy, reliability, and robustness
- Work with OpenAI keys, LLM models, and MCP server integrations, automating API-based interactions and securing AI workflows
- Test and monitor AI/ML systems for issues such as bias, drift, hallucinations, and performance deviations
Requirements
- Minimum 3+ years of experience in developing, executing, and maintaining automated test cases for mobile applications, web applications, and/or APIs
- Proven professional experience with at least one of the following automation frameworks/tools: Appium (for mobile), Playwright/Selenium (for web), or Rest-Assured (for APIs)
- Proficient in utilizing Cucumber for defining and executing test cases
- Well-versed in Continuous Integration/Continuous Deployment (CI/CD) tools such as Github actions, Bitrise, or similar platforms
- Basic understanding of microservices architecture and its associated testing challenges
- Strong ability to analyze technical requirements, design comprehensive test strategies, and create detailed, effective test cases
- Exceptional analytical and problem-solving skills, coupled with a meticulous attention to detail
- Excellent communication skills, a team-oriented mindset, and the ability to work effectively both independently and collaboratively
- Hands-on experience with AI productivity tools (NotebookLM, Gemini, Cursor AI, GitHub Copilot)
- Knowledge of OpenAI API usage, key management, embeddings, and LLM integration workflows
- Familiarity with MCP server concepts and their integration in test automation pipelines
- Understanding of AI system validation techniques, including testing for bias, hallucinations, drift, and robustness
- Business level of English.
Benefits
- Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
- 401K
- Translation/Interpretation support
- VISA sponsor + Relocation support
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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