【Hybrid】QA Engineer

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Job details

Company overview

Our client provides financial web services, aiming to alleviate the financial concerns and anxieties of individuals and businesses through the power of technology, and become the ultimate "money platform" for everyone. Our main services include automated household accounting and asset management for individuals, economic media, and a financial product comparison platform. For businesses, we offer cloud services and B2B deferred payment services.

Responsibilities

The company is strengthening its quality engineering capabilities to support a rapidly growing, AI-driven product platform.
As services increase in complexity and user impact, it seeks a QA Engineer to lead end-to-end quality initiatives—from strategy to release—while establishing scalable, automated practices that ensure reliability.
This role is critical in building a robust QA foundation that can scale across multiple products and teams.

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■Responsibilities

• Own end-to-end product quality across an AI-driven platform, from development through release, ensuring consistent standards and reliability.
• Define and drive scalable QA strategies, including AI-driven testing approaches, automation, and quality gates aligned with best practices.
• Establish and standardize QA processes (test planning, defect management, risk assessment, release criteria) to support long-term scalability.
• Design and execute comprehensive test strategies across all stages (pre-release to production), covering functional and non-functional aspects.
• Advance automation maturity and ensure system stability through robust regression, integration, and resilience testing.
• Provide clear visibility into quality metrics, risks, and release readiness for stakeholders.
• Collaborate cross-functionally to embed quality early in the development lifecycle, define acceptance criteria, and mitigate risks proactively.
• Lead and mentor QA efforts while promoting a culture of shared quality ownership and continuous improvement across teams.

■What You’ll Gain

• Opportunity to shape and lead quality strategy for AI-driven products serving a growing user base
• Hands-on experience building modern test architectures combining automation, AI, and shift-left practices
• Exposure to cross-functional collaboration, strengthening leadership and stakeholder management skills
• Experience applying AI tools and methodologies to improve software quality and delivery efficiency

■Technology Stack

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

■Work Environment

• Modern work setup with high-spec laptops (Mac or Windows) and flexibility to upgrade or customize based on needs
• Support for productivity through provision of necessary equipment and peripherals
• Access to a company-supported library, including technical and business books
• Incentives for employee referrals and related activities
• Partial support for attending domestic and international tech conferences and events

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Requirements

■Required

• 5+ years of software testing experience, with strong expertise in designing and scaling automation frameworks (E2E, API)
• Hands-on experience in manual and non-functional testing, including stability and resilience validation
• Proficiency with testing and API tools such as Playwright, Postman, REST Assured, and GraphQL
• Experience leveraging AI-driven tools (e.g., coding assistants, test automation tools) for test development and analysis
• Advanced scripting skills and experience with end-to-end integration testing across system layers
• Proven ability to drive product quality through automation strategies, reporting, and release assessments
• Strong experience with Agile methodologies, CI/CD pipelines, version control (Git), and test management tools (e.g., TestRail, Zephyr)
• Business-level or higher English proficiency

■Preferred

• Knowledge of AI model evaluation metrics (e.g., accuracy, precision, recall) and their application in testing
• Experience with performance or security testing tools (e.g., JMeter, K6)
• Familiarity with cloud environments (e.g., AWS) and containerized/Kubernetes-based systems
• Relevant QA certifications (e.g., ISTQB or equivalent)
• Experience in AI development or applying AI tools to enhance development and testing processes

Salary

6.9 - 11 million yen

Location

Aichi