Automation QA Engineer

About PayPay PayPay is a FinTech company that has grown to over 70M (as of July 2025) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. OUR VISION IS UNLIMITED_ We dare to believe that we do not need a clear vision to create a future beyond our imagination.

PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.

※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation. Team Missions Serving as an autonomous QA organization in Product Group.

Responsibilities

Analyze testing

Requirements

to develop comprehensive test scenarios for various test levels.

Prepare and manage essential test data, tools, and environments for test execution. Execute test cases and scripts, meticulously documenting results. 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.

, 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).

Qualifications

Minimum 5+ 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), 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 Jenkins, Bitrise, or similar platforms. Basic understanding of microservices architecture and its associated testing challenges.