QA Engineer, Workflow Platform Development Division, Tokyo

Overview

We are strengthening our quality engineering capabilities to support a rapidly growing, AI-driven product platform.

As our services scale in complexity and user impact, we need a QA Engineer who can own end-to-end quality, from strategy definition to production release. You will help us build modern, automated quality practices that keep pace with fast delivery cycles while maintaining high reliability.

This role is key to establishing robust QA foundations that can scale across multiple products and teams.

Responsibilities and Duties

  Quality Ownership & Strategy  

•  Design and implement AI testing methodologies, including constructing AI agents and delivery pipelines that seamlessly integrate quality checks into the development lifecycle. 
• Own product quality from initial development through to production across a growing product platform, ensuring each release meets defined quality standards.  
• Define, refine, and champion quality strategies, test plans, and quality gates for releases and milestones, driving continuous improvement of QA processes.  
• Review and guide quality coverage across all layers (unit, backend, database, API, UI), ensuring adherence to the Test Pyramid and industry best practices.  
•  Lead defect triage, root cause analysis, and risk assessment, proposing mitigation strategies before deployment to minimize production incidents.  
• Establish standard processes for all test activities, bug tracking, and release decisions, ensuring alignment with long-term department QA goals.  

Test Planning & Execution Strategy  

• Architect and execute comprehensive testing strategies across pre-release, post-deployment, and live production stages to ensure functional and non-functional quality.  
• Advance automation maturity using modern frameworks, while managing resilience and failover testing to guarantee system-wide integrity and stability.  
• Create and maintain key test artifacts such as test plans, test cases, and traceability matrices, and oversee regression and integration test cycles.
• Provide transparent QA reporting that allows stakeholders to understand release readiness, risk levels, and test coverage.
•  Partner closely with product and engineering teams to identify risks early and define clear, measurable acceptance criteria for all features.  

Collaboration & Leadership (Shift-Left Focus)  

• Collaborate with engineering, product, and DevOps teams to maintain a unified quality vision, embedding QA practices early in the development lifecycle. 
•  Lead QA engineers and mentor developers on effective test design, automation strategies, and risk-based testing approaches. 
•  Act as a quality advocate across the organization, promoting proactive testing, continuous improvement, and shared ownership of quality. 
•  Lead quality discussions during key project planning, design reviews, and release meetings to ensure quality considerations are addressed upfront.  
•  Lead quality discussions during key project planning, design reviews, and release meetings to ensure quality considerations are addressed upfront.  

Job Satisfaction and Experience Gained 

• In this role, you will have the opportunity to design and drive the quality strategy for AI-enabled products that impact a large and growing user base.
• You will gain hands-on experience in building modern test architectures that integrate automation, AI tools, and shift-left practices.
• By collaborating with cross-functional teams across product, engineering, and DevOps, you will develop strong leadership and stakeholder management skills.
• You will also be at the forefront of applying AI-driven tools and methodologies to improve software quality and delivery efficiency.

Expected Role 

• You are expected to act as a central owner of quality for one or more products, taking responsibility for defining what “good” looks like and ensuring releases meet that bar. 
• You will proactively identify quality risks, propose pragmatic mitigation strategies, and ensure they are reflected in test plans and release criteria.
• As a senior member of the team, you will help shape QA standards, workflows, and tooling that can be replicated across multiple teams.
• You will also serve as a bridge between technical and non-technical stakeholders, translating quality insights into clear business impacts.

Expected Mindset 

• We expect you to have a strong sense of ownership and accountability for product quality, treating defects and incidents as learning opportunities for systemic improvement.
• You should be comfortable challenging existing processes and suggesting better approaches based on data and best practices.
• A collaborative and teaching-oriented mindset is essential, as you will be mentoring other engineers and promoting a culture of shared quality responsibility.
• Curiosity about new technologies, especially AI-related tools and methods, and a willingness to continuously refine your approach are highly valued.

Required Skills and Experience

• Over 5 years of professional software testing experience, with a strong focus on designing and scaling complex automation architectures (E2E, API). 
• Deep hands-on experience in manual and non-functional testing, including scenarios that validate stability, resilience, and user experience. 
• High proficiency with tools such as Playwright, Postman, REST Assured, and GraphQL for automation and API validation. 
• Practical experience using AI-driven tools (e.g., Cursor, Claude, Playwright MCP) to streamline test development, execution, and analysis. 
• Strong leadership orientation with experience in international collaboration and oversight across multiple products or teams. 
• Expert-level skills in scripting languages and complex API validation, including full integration testing across all layers to maximize coverage. 
• Proven capability to lead product quality through transparent reporting, automation roadmaps, and comprehensive release quality assessments. 
• Extensive experience with Agile methodologies (Scrum/Kanban), CI/CD workflows, Git, and test management platforms such as TestRail or Zephyr. 
• Excellent communication, analytical, and documentation skills, enabling you to clearly articulate risks, findings, and recommendations.

Preferred Skills and Experience

• Understanding of AI model evaluation metrics such as accuracy, precision, recall, and response quality, and how to apply them to testing. 
• Exposure to performance or security testing using tools such as JMeter or K6. 
• Familiarity with cloud-based environments, preferably AWS, and testing in containerized or Kubernetes-based architectures. 
• ISTQB or equivalent QA certifications, especially those focused on AI or advanced testing methodologies. 
  Experience in AI development and/or experience in using AI tools to improve development processes. 
• Experience in AI development and/or experience in using AI tools to improve development processes.
  • Money Forward recently announced our AI Strategy roadmap which focuses on improving AI-driven operational efficiencies, as well as integrating AI agents into our products to deliver better value to our users. (More information here)

Language Requirements

Japanese:

Japanese language skills are not required for this position.

English：

TOEIC score of 700 or above, plus the ability to handle meetings and text communication in English soon after joining. 

*Note: If you have other qualifications or experiences demonstrating English proficiency, such as EIKEN Pre-1, EIKEN 2nd Grade (CSE score 1950+), TOEFL iBT 60+, IELTS 5.0+, or Cambridge FCE.), feel free to discuss with us.

For those without a TOEIC 700+ equivalent score, they will be asked to take a designated test during the interview process (generally after the first interview)  

Who We’re Looking For

• We are looking for someone who is passionate about building high-quality, reliable products and who sees QA as a strategic function rather than a final checkpoint.
• You should enjoy working closely with cross-functional teams, facilitating discussions, and aligning diverse stakeholders around quality goals.
• You are comfortable working in an evolving environment, where requirements and technologies change, and you proactively adapt testing strategies accordingly.
• If you are motivated by the opportunity to shape QA practices in an AI-driven, cloud-native environment, you will thrive in this role.

Technology Stack

• Web Server-side：Kotlin (Spring)
• Web Frontend：React 
• Platform：AWS, Kubernetes 

Work Environment

At Money Forward, we provide an environment where we can create world-class services together, and we are looking forward to welcoming you.

• Provided PC Specs: We provide PCs equipped with the latest CPUs (MacOS or Windows). Custom-made PCs tailored to business requirements and replacements with the latest OS are also possible.
• Systems to Enhance the Development Environment: Peripheral devices necessary for work (such as displays, mice, keyboards) can be purchased as office supplies. Generally, you can choose from standard products (catalog), and if conditions are met, you can apply for non-standard products as well. (*Excluding certain group companies)
• Money Forward Library: We have a library system where you can freely borrow books, ranging from technical books to management books. Desired books can be purchased at the company's expense.
• Referral Driven: We cover the cost of recruitment meals. There is a referral reward system.
• Conference Participation Support: The company partially covers participation in domestic and international conferences, such as RubyKaigi and Google I/O.