Principal Java/Kotlin Engineer (Banking project)
Engineering Backend Kotlin Engineering Backend Java
年収
Location
Benefits
フレックスタイム
フル社会保険
年間給与の見直し
旅行/会社の旅行
仕事用のノートパソコン/デスクトップ
業績ボーナス
無料のランチと軽食
追加の健康保険
13ヶ月目の給与
その他の福利厚生
Job Overview And Responsibility
ROLE OVERVIEW: Money Forward is embarking on an exciting new venture in collaboration with Sumitomo Mitsui Financial Group and Sumitomo Mitsui Banking Corporation to explore the provision of BaaS (Banking as a Service) and digital banking solutions. We are seeking a talented Backend Engineer to join our core banking team, which will be at the heart of this initiative. As a Software Engineer in the Core Banking Team, you will leverage Mambu, a leading cloud banking platform for neobanks and challenger banks, to build one of the most reliable and agile banking systems in the industry. Our goal is to shape the future of digital banking in Japan, making it more accessible and user-friendly than ever before. KEY RESPONSIBILITIES: - Acquire domain knowledge in digital banking, including deposits, loans, clearing and settlement, basic accounting, domestic exchange, and Zengin network. - Actively engage with product owners to define requirements. - Develop, test, and deploy code that meets non-functional quality gates such as static code analysis, software composition analysis, SAST, and DAST, while maintaining numerical accuracy. - Design and build high-performance, scalable microservices centered around APIs. - Pursue test automation and continuous improvement, including API testing. - Take responsibility for the entire software development lifecycle.
Required Skills and Experience
- Approximately 8 years of hands-on experience with Java or Kotlin and Spring Boot. - Fluent English level - Proven experience in development with in banking domain - Practical experience with SQL, Apache Kafka, and related technologies. - Experience in creating and automating tests. - Hands-on experience with relational/non-relational databases, including transaction management, query optimization, and schema design. - Experience in microservice architecture and API design with a focus on scalability, maintainability, and supportability. - Understanding of CI/CD concepts and practices. - Experience developing cloud-native applications in major cloud environments such as AWS, Azure, or GCP. - Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
Why Candidate should apply this position
- Hybrid working: 2 days in the office and 3 days working from home - Flexible working hours: start time between 8 AM and 9 AM, Monday to Friday - Full salary during probation period - Insurance coverage from the probation period: - Social Insurance - Health Insurance - Unemployment Insurance (100% salary) - Private health insurance & accident insurance (additional coverage for family members from managing level) - 13th month salary bonus - Paid time off: 16 to 24 days per year, plus more - Additional 5 days of paternity leave - Annual company trip and quarterly team-building activities - Billiards and running clubs available - Annual health check provided - Well-equipped facilities: MacBook Pro, additional monitor, etc. Caring Career & Development: - Clear career path outlined - Sponsorship for foreign language and international technology-related certifications - Access to external and internal training courses - Soft-skill workshops available - Participation in tech seminars - Monthly and biannual recognition awards - Performance and salary reviews conducted twice a year (June & December)
Preferred skills and experiences
- Experience working in financial institutions, particularly banks or fintech companies. - Basic knowledge of accounting or double-entry bookkeeping. - Knowledge of CCP and settlement mechanisms. - Experience implementing CI/CD pipelines from development to production in the cloud. - 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 )
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Manager
Interview process
Round 1: Technical interview Round 2: Interview with MFJ Round 3: Bar Raiser interview Round 4: CxO (for candidates take role Tech Lead only)
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