Tokyo, Japan
Published on: October 29, 2026
This financial technology business develops digital financial services for a broad user base. Its international team brings together colleagues from many countries, creating a collaborative environment shaped by a range of perspectives and experience. The organisation is committed to challenging established approaches, taking thoughtful risks and building services that respond to changing customer needs.
For an engineer joining the team, this is an opportunity to contribute to important financial systems while helping shape the standards and practices of a growing engineering function. The culture encourages curiosity, continuous learning and ownership, offering scope to influence how quality is built into products and services from the outset.
As a Full Stack QA Engineer, you will help ensure the quality and reliability of financial products and services, contributing to a major banking systems renewal. You will work across the testing lifecycle, from analysing requirements and designing test strategies to executing tests, reporting findings and supporting resolution of defects.
You will drive quality improvement through test automation while also taking ownership of manual and exploratory testing. The role includes developing and maintaining test scenarios, cases, data and documentation, as well as analysing results and recommending practical improvements. You will also help establish QA standards and ways of working within a developing team, act as a subject matter expert for assigned modules, and support the development of junior colleagues.
You will apply AI tools and techniques to testing, including validating LLM-driven applications and monitoring AI systems for issues such as bias, drift and unreliable outputs.
At least three years’ experience developing, executing and maintaining automated tests for mobile applications, web applications and/or APIs.
Hands-on experience with at least one of Appium, Playwright, Selenium or Rest-Assured, and proficiency using Cucumber.
Experience with CI/CD tools such as GitHub Actions, Bitrise or equivalent platforms.
Ability to analyse technical requirements, design test strategies and create thorough test cases, with strong analytical skills and attention to detail.
Understanding of microservices architecture and its testing challenges.
Business-level English and the ability to work independently and collaboratively.
Practical experience with AI productivity tools such as NotebookLM, Gemini, Cursor AI or GitHub Copilot; knowledge of OpenAI APIs, key management, embeddings and LLM integration.
Familiarity with MCP server concepts and AI system validation, including testing for bias, hallucinations, drift and robustness.
As part of our hiring process, this role may use Keystone AI’s artificial intelligence or automated tools to assist with reviewing and screening applications. These tools support, but do not replace, human judgment in making hiring decisions.
Your application will be considered complete only after you have completed the full registration process on the Keystone AI platform, including creating your profile, uploading your CV, and submitting your application. The AI interview is optional but encouraged and is not required for your application to be considered.
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CGP Group is an affirmative equal-opportunity employer and recruitment firm. We evaluate qualified applicants without regard to race, color, religion, creed, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. Information provided in this advertisement is for recruitment purposes only.
