Design and operate shared identity, authentication and authorization services using Ruby or Kotlin, leading integrations and migrations across Money Forward products in an English-working team.
About this role
Within Money Forward's CDAO Office, this role leads technical strategy and execution for an ML platform serving financial-services and credit use cases. It connects large-scale transaction data with secure, auditable product implementations.
Responsibilities include platform roadmaps, architecture and data-pipeline design, IAM and security policies, and technical alignment with engineering, legal, compliance and business teams. The named tools include AWS, Databricks, Python, SQL, Airflow, Terraform and GitHub Actions.
Applicants need approximately five or more years of software engineering, technical leadership, large-scale data-engineering and performance-tuning experience, and strong documentation skills. MLOps and financial-domain experience are preferred. Business-level or higher Japanese and basic business English equivalent to TOEIC 700 are required. Hybrid work normally requires at least two office days weekly.
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