Overview
Web Application QA Jobs in Setagaya, Tokyo, Japan at SMALL WORLD / Work in Japan?
Title: Web Application QA
Company: SMALL WORLD / Work in Japan?
Location: Setagaya, Tokyo, Japan
Responsibilities 1 :
- Enterprise Expansion: Reach every Rakuten business unit, transforming service operations with AI at scale.
- Capability Multipliers: Embed AI across Rakuten’s core functions – shopping personalization, fintech underwriting, logistics orchestration, content discovery, and more.
- Externalization: Package Raptor as a standalone CCaaS and AI-platform offering, driving revenue beyond Rakuten.
- Portfolio Leadership: Potential to shape Rakuten’s entire AI roadmap – uniting Raptor, RMAA, and other core AI products under a cohesive strategy.
Required Skills 1 :
- Develop and maintain robust, scalable test automation frameworks from scratch.
- Create, maintain, and execute automated test cases using Python, Selenium, and Playwright.
- Collaborate with developers, product managers, and DevOps to ensure quality is integrated into the CI/CD lifecycle.
- Define and implement QA best practices, processes, and metrics across projects.
- Analyze test results, identify bugs, and drive continuous improvement in product quality.
- Participate in code reviews, test planning, and estimation activities.
- Drive automation strategy and advocate for testability in design and implementation.
- 5-7 years of experience in software testing with a strong understanding of QA methodologies and testing life cycles.
- Solid hands-on experience in automation testing, including framework creation and enhancement.
- Proficient in Python programming and automation toolsets including Selenium and Playwright.
- Experience working with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
- Strong analytical, debugging, and problem-solving skills.
- Excellent communication and documentation abilities.
- Fluent English & Japanese language skills required.
Desired Skills 1 :
- Exposure to Large Language Models (LLMs) and understanding of AI/ML testing use cases.
- Familiarity with AI-assisted development tools such as GitHub Copilot and Cursor.AI.
- Experience with performance testing tools and/or security testing tools is a plus.
- Knowledge of containerization (Docker) and cloud-based environments (AWS, Azure or GCP).
Language Skills 1 :
- Japanese : Daily conversation level
- English : Business level (TOEIC 800 or higher etc…)