【Only applicants residing in Japan are eligible to apply.】

About Us

At Money Forward, we are dedicated to transforming financial services using advanced technology. With over 50 services for individuals and businesses, including popular products like Money Forward ME and Money Forward Cloud, we help make managing money easier. We use “account aggregation” technology to gather user data, turning it into useful insights for our customers.

As announced in "Money Forward AI Vision 2026," we view AI utilization not as an option, but as a prerequisite for sustainable enterprise growth. Guided by executive leadership, we are accelerating an all-in AI shift across the entire company.

Rather than treating AI merely as an efficiency tool for existing tasks, we fundamentally ask, "How should this process exist in the first place?" to reconstruct products and workflows optimized for the AI era. Powered by a rich, active user base and vast datasets, we strictly practice AI-driven development engineered backward from maximum user value. Internally, we actively integrate generative AI tools into our development environments, driving radical productivity gains and rapid product iterations.

We are looking for motivated engineers who want to embrace new technologies without fear of failure in this period of global trial and error—and who are truly passionate about building high-impact AI services grounded in massive real-world data.

Overview

Money Forward is driving company-wide AX (AI Transformation) to deliver "digital workers" — AI agents that carry out business operations autonomously. The CDAO Office leads the AI and data strategy that makes this possible across the entire group.

This is a dedicated SRE/infrastructure position within our MLOps Platform, focused specifically on the domain serving our Digital Bank and group-company fintech products — the shared credit evaluation model initiative known internally as "Financier".

Our MLOps Platform is more than a machine learning platform. It also encompasses the serving interfaces, authentication mechanisms, and security layers used by connected products, making it a group-wide product platform. The team currently operates as a scrum unit of a Product Manager, Engineering Manager, Data Scientists, and ML Engineers, running prototype validation. With the Digital Bank launch scheduled for FY2027, standing up infrastructure that can withstand high traffic and high availability requirements has become our most urgent priority.

A separate dedicated SRE owns the standard infrastructure for the MLOps Platform as a whole. In this role, you will work alongside that shared foundation while focusing your efforts on infrastructure built specifically for Digital Bank and fintech products. The scope may look broad at first glance, but it is deliberately bounded: by making full use of AI development tools such as Claude Code and by collaborating closely with our application and ML engineers, this is designed as a role that one dedicated engineer can own end to end.

Mission Priorities

1. Deliver the infrastructure and monitoring that keep serving interfaces and production model endpoints running reliably
2. Design and continuously uphold financial-grade governance and security (mTLS, private network connectivity, and related controls)
3. Once the above are in place, build out an MLOps environment that lets ML and application engineers develop, analyze, and deploy models efficiently

Responsibilities and Duties

As the primary SRE/infrastructure owner for the Digital Bank and fintech domain, you will:

• Build infrastructure and codify it with IaC (Terraform)
  • Design, build, and continuously improve the AWS infrastructure behind our serving interfaces, data pipelines, and ML development platform, managed as code with Terraform.
• Design and monitor financial-grade network security
  • Architect the infrastructure for mTLS (mutual TLS authentication), build and continuously improve private network connectivity for Digital Bank integration (AWS PrivateLink, VPC Peering, and similar), and expand security monitoring coverage.
• Improve observability and stand up operations and on-call
  • Design and introduce monitoring for logs, metrics, and traces using CloudWatch and related tooling. Define SLOs and SLAs, establish an on-call rotation, and standardize incident response processes.
• Design and support the data platform / MLOps interface
  • Design and build the interface between the Databricks platform operated by our DRE organization and the ML Ops Platform (data processing and pipeline integration), and provide infrastructure support on the ML Ops side.
• Drive infrastructure collaboration across the group
  • Partner with the SRE who owns platform-wide ML Ops standards, as well as data platform and product platform teams in other organizations and group companies, to expand Digital Bank and fintech infrastructure while keeping it consistent with our cross-group foundation.

Required Skills and Experience

• Approximately 5+ years of professional experience as an SRE or infrastructure engineer
• Hands-on experience designing, building, and operating infrastructure on AWS using services such as ECS, API Gateway, VPC, and IAM
• Proven track record operating infrastructure using Terraform for infrastructure as code, module design, and CI/CD automation
• Solid grounding in advanced networking and security with experience designing architectures using VPC Peering, AWS PrivateLink, and TLS or mTLS authentication
• Experience building and operating observability systems including monitoring, alert design, and performance log analysis in cloud environments
• Working knowledge of CI/CD and container technologies with experience optimizing deployment pipelines using GitHub Actions and Docker

Preferred Skills and Experience

• Infrastructure support experience in MLOps or data platform domains using tools like Amazon SageMaker, Databricks, or Airflow
• Track record of standing up operations, defining SLOs and SLAs, and standardizing incident response using tools like Datadog and PagerDuty
• Security and audit experience in financial services or payments aligned with standards such as the FISC Security Guidelines
• Experience designing, building, and operating shared platforms in collaboration with data and product teams across multiple organizations

Language Requirements

• Business level Japanese (equivalent to JLPT N2 or above) 
• Basic business level English (equivalent to TOEIC 700 or above)
  • If you do not have a qualification equivalent to TOEIC 700 or above, you will be required to take a company-designated test during the selection process.

※Please note that the interviews in the selection process will be conducted in Japanese.

Who We’re Looking For

• Strong sense of ownership for production reliability and security to keep serving interfaces and private networking stable under high traffic capacity
• Drive to shape architecture and operational tooling during phases of genuine uncertainty by evaluating options and making key decisions
• Motivation to balance financial-grade security and governance with high developer productivity for application and machine learning teams
• Desire to support AI-era product platforms and embrace AI development tools to achieve outsized team impact
• Ability to solve problems autonomously and drive initiatives forward while collaborating closely with engineering teams and cross-company stakeholders

Technology Stack

• Infrastructure/Cloud: AWS (ECS Fargate, API Gateway, VPC, PrivateLink, SageMaker, S3, Glue, CloudWatch), Databricks
• DevOps/IaC/MLOps: Terraform, GitHub Actions, Docker
• Observability/Incident: CloudWatch
• AI Development Tools: Claude Code and similar
• Languages/Scripting: Python, Shell, SQL
• Communication/Project: Slack, Notion

※This list reflects what we have adopted to date. Observability SaaS and incident management tooling (Datadog, PagerDuty, and the like) are not yet in place — meaning you will have the opportunity to shape those technology decisions yourself.

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.
• 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.

職種 / 募集ポジション SRE/Infrastructure Engineer, ML Platform, Tokyo 雇用形態 正社員 給与 年収 7008000–11004000 JPY / YEAR

Monthly salary system
※Includes fixed allowances for up to 45 hours of legal overtime, legal holiday work, and 40 hours of late-night work.

勤務地

• 108-0023  21F Tamachi Station Tower S, msb Tamachi, 3-1-21 Shibaura, Minato-ku, Tokyo
  地図で確認

Salary System

<Salary Range>
Min 584,000 JPY / month（7,008,000 JPY / year）- 917,000 JPY / month（11,004,000 JPY / year）
Each including fixed allowances of 170,064 JPY - 266,988 JPY / month.

Bonus

A「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary.
※Please note that the remuneration of the High Performance Bonus is subject to change according to the company's performance.

Probation Period

3 months from join date

Working Hour System

Discretionary Labor System for Professional Work
※Conditions apply; subject to change to Flextime System.

Working Hours

9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion.
※There is potential for overtime work outside the determined hours.

Work Style Policy

Hybrid work style
・As a standard practice, employees are required to work at the office a minimum of 2 days per week. Employees are encouraged to spend 3 or more days in the office. (This policy may be subject to change based on the company and job circumstances)
・The specific "team office days" may vary depending on the assigned team.

Holidays/Vacations

■ Saturdays / Sundays / Japanese national holidays
■ Paid holidays
■ Summer holidays (3 days)
■ Winter holidays (2 days)
■ Year-end and New Year’s holidays (Dec 31st～Jan 3rd)

Benefits

■ Various social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance)
■ Neighborhood housing allowance and neighborhood moving allowance
■ Health check and gynecological checkup
■ Influenza vaccine
■ Book purchases support
■ Defined-contribution corporate pension 
■ Employee stock ownership plan
■ Preferential treatment when using the following services（limited to businesses under contract with Money Forward）
　- Rental agency
　- Housekeeping services
　- Babysitting
　- Online English conversation school

Selection Process１

Casual interview/Document Screening
↓
First interview (Depending on the position, there may be a technical assignment before the interview.)
↓
Several interviews (The number of interviews depends on the position. We will request you to take an aptitude assessment.)
↓
Final interview (We may ask for a reference check before or after the interview.)
↓
Job offer/Offer meeting

※The process may be subject to change depending on the case.

Selection Process２

■ About the Aptitude Test
It is a simple web-based survey taking around 20 minutes to complete.

■ What are reference checks?
Money Forward may ask for your cooperation with reference checks using a reference check service tool. We believe that mutual understanding is limited to the selection process alone. Therefore, we would like to gather information about you from your supervisor and colleagues at your current or former company to ensure a more reliable match and facilitate your early success after joining our company.
※We do not make employment decisions based solely on the contents of reference checks. 
※The fact that you are in the selection process with us will not be disclosed to referees.

Notes

- Range of change in job description: Work as determined by the company
- Range of change in work location: Work location as determined by the company

Reference Information

https://recruit.moneyforward.com/#introduction

会社情報 会社名 株式会社マネーフォワード 代表者

代表取締役社長グループCEO 辻 庸介

創業

2012年5月

取締役

金坂 直哉
中出 匠哉
竹田 正信
石原 千亜希

社外取締役

安武 弘晃
宮澤 弦
Ryu Kawano Suliawan
菊間 千乃
芦田 健
上田 梨々子

監査役

畠山 優実
田中 克幸
西山  茂

グループCxO・VPox

上利 陽太郎
瀧 俊雄
山田 一也
坂 裕和
松岡 俊
伊藤 セルジオ 大輔
関田 雅和
松久 正幸
野村 一仁
長尾 祐美子
金井 恵子
梅田 康吉
丸山 嘉伸

執行役員

田平 公伸
本川 大輔
冨山 直道
永井 博	
駒口 哲也
廣原 亜樹
島村 誠一郎
永井 七奈
木村 慎治
吉本 憲文
工藤 裕之
島内 広史
小山 幸宏
渡辺 恵伍
松村 道夫
岩崎 大
渋谷 亮

オフィス

本社オフィス
〒108-0023　東京都港区芝浦3-1-21 msb Tamachi 田町ステーションタワーS 21F


北海道支社
〒060-0061　北海道札幌市中央区南一条西4-5-1 札幌大手町ビル3階

東北支社
〒980-0021 宮城県仙台市青葉区中央2-2-10 仙都会館 5F

東海支社、名古屋開発拠点
〒450-6213　愛知県名古屋市中村区名駅4-7-1 ミッドランドスクエア 13F

京都支社、京都開発拠点
〒604-8004　京都府京都市中京区三条通河原町東入中島町78番地 明治屋京都ビル 4階

関西支社、大阪開発拠点
〒541-0042　大阪府大阪市中央区今橋 2-5-8 トレードピア淀屋橋 9階

広島支社
〒730-0015　広島市中区橋本町9-7 ビル博丈5F

九州・沖縄支社、福岡開発拠点
〒810-0041　福岡県福岡市中央区大名2丁目6-50　福岡大名ガーデンシティ 16F

社内コミュニケーション活性化の取り組み

■全社週次/月次朝会/半期総会
■代表との意見交換会（CEOセッション）
■全社懇親会（MF Happy Hour）
■他部門社員との交流会（シャッフルランチ・ディナー）
■上長との定期1on1（ツキイチ面談）
■社内公募制度（MFチャレンジシステム）
■社員満足度調査（MFグループサーベイ）
※一部正社員のみ

労働条件

屋内原則禁煙（喫煙室あり）等

中途採用比率

2021年11月末　93.8％
2022年11月末　90.0%
2023年11月末　76.6％
2024年11月末　88.7%