Quality Engineering Lead

Company Overview We are involved in the planning and management of "Pairs" – a dating app for those who are serious about finding a partner. The service was launched in Japan in 2012, in Taiwan in 2013, and will launch in South Korea in 2025. The total number of registrations has exceeded 27 million (as of April 2026), and it is used by many people. Furthermore, according to our data, over 900,000 people have found their significant other through Pairs.

Job Summary: We are looking for a Head of Testing to simultaneously accelerate development and improve the quality of the online dating app "Pairs". The use of AI agents for development acceleration is already becoming common practice in the industry. We believe that maintaining quality with ever-accelerating development, without slowing down its pace, is becoming a more important task than ever before. Currently, we are striving to create an environment where developers, as well as AI agents, can independently carry out development, verifying quality, by integrating automated testing and continuous feedback into the development process, allowing for early detection of the impact of changes and quality issues. This requires an environment where developers, as well as AI agents, can detect the impact of changes and quality issues at an early stage and link them to fixes, by integrating automated testing and continuous feedback into the development process. Furthermore, for continuous improvement, it is necessary to constantly measure test coverage, test execution status, defect detection rate, defect leakage to production, number of incidents, etc., and quantitatively assess the state of development speed and quality. This position involves developing a company-wide Quality Engineering strategy, designing and implementing the foundations for automated testing and quality visualization, and creating a system that allows development teams to independently improve quality in their daily work. In the future, we expect to collaborate with Product Managers and development teams to define quality that is important for the product, design signals and metrics for its evaluation, and drive continuous improvement.

What You’ll Do:

• Develop a company-wide Quality Engineering strategy and create a development environment that ensures quality when using AI agents without reducing development speed.
• Design and implement automated testing platforms, test data, quality checks in CI/CD, and continuous feedback mechanisms.
• Create an environment where developers, as well as AI agents, can detect the impact of changes and quality issues and link them to fixes.
• Continuously measure test coverage, test execution status, defect detection rate, defect leakage to production, incidents, etc., and visualize the state of development speed and quality.
• Identify quality issues and bottlenecks based on data and improve development processes, testing strategies, architecture, and tools.
• Collaborate with development teams to implement and solidify processes and operations that allow teams to independently improve quality during daily development.
• Lead technical selection, design, implementation, and reviews related to test automation and quality platforms.
• Lead the development, goal setting, evaluation, and hiring of Quality Engineering staff.
• Collaborate with Product Managers and development teams to define quality that is important for the product and drive the development of signals and metrics to assess its status.

Basic Qualifications:

• Experience in software development or test automation as a Software Engineer, SET, SDET, QA Engineer, or Quality Engineer.
• Experience in designing and implementing tests for web applications, mobile applications, or server-side systems.
• Knowledge and practical experience in test automation at multiple levels, such as unit testing, integration testing, end-to-end testing, and API testing.
• Experience integrating automated testing and quality checks into CI/CD pipelines.
• Ability to design and implement test platforms, development tools, and task management systems using programming languages.
• Experience analyzing data such as test coverage, defects, incidents, and release quality, and applying it to improvements.
• Experience driving technical and organizational improvements by engaging multiple development teams and stakeholders.
• Experience managing engineering teams or Quality Engineering teams.
• Ability to communicate smoothly in Japanese.

Preferred Qualifications:

• Experience in software development using AI coding agents or generative AI.
• Experience implementing AI agents for code generation, test generation, code review, quality analysis, etc.
• Experience improving quality or building test platforms for large-scale or high-load services.
• Experience developing testing strategies for multiple platforms, including mobile applications.
• Experience defining, visualizing, and operating quality metrics and Engineering Metrics.
• Knowledge of Shift Left Testing, Test Pyramid, Continuous Testing, Observability, etc.
• Experience establishing QA as a shared responsibility of the development team, rather than as a separate verification step.
• Experience defining product quality, including not only functional requirements but also reliability, performance, and usability, in collaboration with Product Managers.
• Experience collaborating with global teams in English.

Characteristics:

• Individuals who not only demonstrate strategy and policy but also engage in design and implementation themselves, solving technical challenges.
• Individuals who view quality and development speed not as a conflict, but as an opportunity to achieve both through systems and technologies.
• Individuals who can improve the entire development process, including requirements definition, design, implementation, release, and operation, not just optimize the testing phase.
• Individuals who identify problems and drive improvements based on metrics and data, not just on experience and intuition.
• Individuals who can implement and maintain mechanisms for quality improvement in a feasible form, considering the situation in each development team.
• Individuals interested in the changes to the software development process caused by AI agents and who can envision a new form of Quality Engineering.
• Individuals who can formulate hypotheses, prioritize, and move forward by involving stakeholders, even in uncertain situations.
• Individuals who can build a common understanding with stakeholders in different positions, such as engineers, Product Managers, and management.

Tools we use: Programming Languages: Go, TypeScript/JavaScript, Python Tech Stack: MySQL,DynamoDB,Amazon ElastiCache,Elasticsearch, Kubernetes,and various AWS and Google Cloud services,Terraform Development: Git,Github,GithubActions,Docker,Jira Cloud,Slack