Quality Engineering Lead

What You’ll Do:

• Formulate company-wide Quality Engineering strategies and build development environments that ensure quality without sacrificing development speed, particularly in development leveraging AI agents.
• Design and implement automated testing infrastructure, test data management, quality checks within CI/CD, and continuous feedback mechanisms.
• Develop environments where not only developers but also AI agents can detect the impact of changes and quality issues, leading to automated fixes.
• Continuously measure test coverage, test execution status, defect detection rates, production defect leakage, and incidents to visualize the state of development speed and quality.
• Identify quality issues and bottlenecks through data analysis and drive improvements in development processes, test strategies, architecture, and tools.
• Collaborate with individual development teams to establish processes and operations that allow teams to autonomously improve quality in their daily development.
• Lead the technology selection, design, implementation, and review of test automation and quality infrastructure in a hands-on capacity.
• Manage the team, including mentoring, goal setting, performance evaluation, and hiring for members involved in Quality Engineering.
• Partner with Product Managers and development teams to define what quality means for the product and drive the design of signals and metrics to track that state.

Basic Qualifications:

• Experience in software development or test automation as a Software Engineer, SET, SDET, QA Engineer, or Quality Engineer.
• Experience in test design and implementation for web applications, mobile applications, or backend systems.
• Knowledge and practical experience in multi-layer test automation, including unit, integration, E2E, and API testing.
• Experience integrating automated tests and quality checks into CI/CD pipelines.
• Ability to design and implement test infrastructure, development tools, or business systems using programming languages.
• Experience analyzing data related to test coverage, defects, incidents, and release quality to drive improvements.
• Experience driving technical and organizational improvements by involving multiple development teams and stakeholders.
• Experience managing engineering or Quality Engineering teams.
• Fluent communication skills in Japanese.

Preferred Qualifications:

• Experience in software development utilizing AI coding agents or Generative AI.
• Experience introducing AI agents for code generation, test generation, code reviews, or quality analysis.
• Experience in quality improvement or building test infrastructure for large-scale or high-traffic services.
• Experience designing test strategies for multiple platforms, including mobile applications.
• Experience defining, visualizing, and operating quality metrics or Engineering Metrics.
• Knowledge of Shift Left Testing, the test pyramid, continuous testing, and Observability.
• Experience establishing QA as a shared responsibility of the entire development team rather than an independent verification phase.
• Experience collaborating with Product Managers to define product quality, including reliability, performance, and usability, beyond just functional requirements.
• Experience collaborating with global teams using English.

Characteristics:

• Someone who can not only set strategies and policies but also dive into design and implementation to solve technical challenges.
• Someone who does not view quality and development speed as conflicting, but seeks to achieve both through systems and technology.
• Someone who can improve the entire development process, including requirements definition, design, implementation, release, and operations, rather than just optimizing the testing phase.
• Someone who can identify issues and drive improvements based on metrics and data, rather than relying solely on experience or intuition.
• Someone who can translate quality improvement mechanisms into actionable forms tailored to each development team's situation and support them until they are fully adopted.
• Someone interested in how AI agents are changing software development and capable of envisioning new forms of Quality Engineering.
• Someone who can form hypotheses, prioritize tasks, and move forward while involving stakeholders, even in uncertain situations.
• Someone who can build a shared understanding with stakeholders from different backgrounds, 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