{"id":1176718,"url":"https://alion.io/job/money-forward-senior-backend-engineer-ml-platform-tokyo-3","title":"Senior Backend Engineer, ML Platform, Tokyo","company":{"id":13241,"name":"Money Forward","domain":"moneyforward.com","url":"https://alion.io/company/moneyforward","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HRMOS","truth_index":{"grade":"B","score":81,"open_postings":112,"ghost_share":0.232,"stale_share":0,"repost_share":0.009,"time_to_fill_p50_days":130,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"FastAPI","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon S3","optional":true},{"name":"API Gateway","optional":true},{"name":"AWS Fargate","optional":true},{"name":"AWS Glue","optional":true},{"name":"Claude Code","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Notion","optional":true},{"name":"Slack","optional":true},{"name":"Terraform","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-08-10T05:29:22Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-19T07:18:09Z","board_verified":true,"closed_at":null,"days_open":70,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":69},"description":"Only applicants residing in Japan are eligible to apply.\nOverview\nGuided by Money Forward AI Vision 2026(https://www.linkedin.com/pulse/full-transcript-money-forward-announced-ai-strategy-vision-phwoc/?trackingId=sl33ZIGRFzkBJJv7wI9qsg%3D%3D), 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.\nThis is a dedicated backend engineering role owning the application layer of a credit microservice (a private REST API) used across our Digital Bank and group-company fintech products. The microservice combines aggregated data produced by Databricks, machine learning model endpoints on SageMaker, and credit calculation logic inside the service itself to deliver credit information to the product side. In short, you will turn probabilistic, uncertain model output into deterministic API behavior a financial product can safely depend on .\nOur small scrum team is currently focused on developing the credit evaluation model itself. For the FY2027 Digital Bank launch , however, we now need an API designed and built to serve that model's inference results with the traffic capacity and availability the product demands. Infrastructure, security, observability, and CI/CD are owned by our site reliability / infrastructure engineer, and model development by our machine learning engineers, so you can concentrate on the application itself - but because all three roles collaborate closely, we place real weight on understanding and being able to discuss areas outside your own remit.\nSuccess is clearly defined: ensuring the FY2027 Digital Bank launch succeeds, from the standpoint of the credit microservice. Your mission is the architecture, implementation, and quality assurance that work backward from it.\nMission Priorities\nDesign, build, and assure the quality of a credit microservice (private REST API) capable of supporting the FY2027 Digital Bank launch\nStabilize machine learning model integration, and secure resilience through latency budgeting and fallback design\nEstablish development standards, architecture, and test strategy, and drive the team's technical decision-making\nResponsibilities and Duties\nAs the primary application owner for the microservice, you will take the initiative within our scrum team and:\nDesign and implement the microservice architecture: a high-performance, low-latency service in Python and FastAPI, built for transaction volumes at the scale of tens of millions of users, including service boundaries and data ownership.\nDesign API contracts and reach agreement with stakeholders: OpenAPI schemas and error taxonomies, versioning and backward compatibility, and the process for changing contracts with Digital Bank and group-company stakeholders.\nBring models and credit logic into production, with resilience by design: the client-side interface for SageMaker endpoints, latency budget allocation, and timeout, retry, circuit breaker, and fallback behavior.\nImplement credit domain logic with correctness and explainability: credit limit calculation with exhaustive boundary and failure cases, idempotency, reproducibility (linking input data, model version, and logic), and audit trail design.\nDesign for performance around data supply: how aggregated data in object storage is loaded, freshness management and consistent cutover, caching strategy, and asynchronous/parallel model calls.\nOwn quality, test strategy, and instrumentation: unit, contract, and load testing, regression processes for model swaps, structured logging and traceability, and SLI-driven instrumentation.\nLead technically and set standards: architecture selection, code review, and improvement and standardization of our development process.\nRequired Skills and Experience\n5+ years of professional software engineering experience designing, building, and operating web APIs and microservices in Python or comparable languages\nTrack record with high-traffic, low-latency applications through efficient API design and application-level performance tuning\nContract and failure design experience for external system integrations including API schema, error taxonomy, timeouts, retries, and fallbacks\nStrong test design and quality assurance background with experience embedding automated testing into the development process\nCloud application development experience on AWS using containerized environments and CI/CD pipelines\nAbility to collaborate and build agreement across roles to drive technical specifications with SRE, machine learning engineers, and external stakeholders\nPreferred Skills and Experience\nKnowledge of machine learning integration and MLOps, including calling models on platforms like Amazon SageMaker and designing for inference latency\nUnderstanding of data platforms and pipelines like S3, Glue, and Databricks to inform technical specs and incident analysis\nFluency reading and writing IaC with Terraform to propose infrastructure changes via pull requests\nExperience in financial services, credit, or payments domains with exposure to auditability, traceability, and advanced security like mTLS, OAuth, or JWT\nLeadership experience as a tech lead or scrum master with authority over architecture, code quality, and process standardization\nLanguage Requirements\nBusiness level Japanese (equivalent to JLPT N2 or above) \nBasic 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.\n\n※Please note that the interviews in the selection process will be conducted in Japanese.\nWho We’re Looking For\nWants final accountability for product behavior with first-line responsibility for the correctness, speed, and availability of a credit API designed through to the last failure case\nDrawn to converting the uncertainty of machine learning into the certainty of an API by designing an interface that behaves deterministically despite inference variance, latency, and model updates\nCapable of standing at the boundary between roles to design the collaboration itself through clear ownership while picking up problems that fall between roles\nThrives on shaping systems during phases of genuine uncertainty and enjoys making the decisions that move projects forward when specifications and architecture are undecided\nEager to build infrastructure-scale products for the AI era by leading the launch phase of Digital Bank combined with shared credit evaluation using AI development tools such as Claude Code\nTechnology Stack\nBackend / API: Python (FastAPI), Amazon API Gateway\nInfrastructure / Cloud: AWS (ECS Fargate, S3, CloudWatch)\nML Serving: Amazon SageMaker (Model Endpoint)\nDevOps / CI/CD: GitHub Actions, Docker, Terraform\nData Platform (integration target): Databricks, AWS Glue, S3\nAI Development Tools: Claude Code and similar\nCommunication / Project: Slack, Notion\nWork Environment\nAt Money Forward, we provide an environment where we can create world-class services together, and we are looking forward to welcoming you.\nProvided 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.\nSystems 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.\nMoney 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.\nReferral Driven: We cover the cost of recruitment meals. There is a referral reward system.\nConference Participation Support: The company partially covers participation in domestic and international conferences, such as RubyKaigi and Google I/O.\n職種 / 募集ポジション\nSenior Backend Engineer, ML Platform, Tokyo\n雇用形態\n正社員\n給与\n年収 7,008,000円 〜 11,004,000円\nMonthly salary system\n※Includes fixed allowances for up to 45 hours of legal overtime, legal holiday work, and 40 hours of late-night work.\n勤務地\n108-0023 21F Tamachi Station Tower S, msb Tamachi, 3-1-21 Shibaura, Minato-ku, Tokyo\nSalary System\n\nMin 584,000 JPY / month（7,008,000 JPY / year）- 917,000 JPY / month（11,004,000 JPY / year）\nEach including fixed allowances of 170,064 JPY - 266,988 JPY / month.\nBonus\nA「High Performance Bonus」may be paid to employees who receive high evaluations based on semi-annual evaluations in addition to their salary.\n※Please note that the remuneration of the High Performance Bonus is subject to change according to the company's performance.\nProbation Period\n3 months from join date\nWorking Hour System\nDiscretionary Labor System for Professional Work\n※Conditions apply; subject to change to Flextime System.\nWorking Hours\n9:30 - 18:30 (60 min break) are the basic working hours. However, employees are able to choose their working hours at their own discretion.\n※There is potential for overtime work outside the determined hours.\nWork Style Policy\nHybrid work style\n・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)\n・The specific \"team office days\" may vary depending on the assigned team.\nHolidays/Vacations\nSaturdays / Sundays / Japanese national holidays\nPaid holidays\nSummer holidays (3 days)\nWinter holidays (2 days)\nYear-end and New Year’s holidays (Dec 31st～Jan 3rd)\nBenefits\nVarious social insurances (employee pension, health insurance, employment insurance, industrial accident compensation insurance)\nNeighborhood housing allowance and neighborhood moving allowance\nHealth check and gynecological checkup\nInfluenza vaccine\nBook purchases support\nDefined-contribution corporate pension\nEmployee stock ownership plan\nPreferential treatment when using the following services（limited to businesses under contract with Money Forward）\n- Rental agency\n- Housekeeping services\n- Babysitting\n- Online English conversation school\nSelection Process１\nCasual interview/Document Screening\n↓\nFirst interview (Depending on the position, there may be a technical assignment before the interview.)\n↓\nSeveral interviews (The number of interviews depends on the position. We will request you to take an aptitude assessment.)\n↓\nFinal interview (We may ask for a reference check before or after the interview.)\n↓\nJob offer/Offer meeting\n※The process may be subject to change depending on the case.\nSelection Process２\nAbout the Aptitude Test\nIt is a simple web-based survey taking around 20 minutes to complete.\nWhat are reference checks?\nMoney 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.\n※We do not make employment decisions based solely on the contents of reference checks.\n※The fact that you are in the selection process with us will not be disclosed to referees.\nNotes\n- Range of change in job description: Work as determined by the company\n- Range of change in work location: Work location as determined by the company\nReference Information\nhttps://recruit.moneyforward.com/#introduction\n会社情報\n会社名株式会社マネーフォワード\n代表者\n代表取締役社長グループCEO 辻 庸介\n創業\n2012年5月\n取締役\n金坂 直哉\n中出 匠哉\n竹田 正信\n石原 千亜希\n社外取締役\n安武 弘晃\n宮澤 弦\nRyu Kawano Suliawan\n菊間 千乃\n芦田 健\n上田 梨々子\n監査役\n畠山 優実\n田中 克幸\n西山 茂\nグループCxO・VPox\n上利 陽太郎\n瀧 俊雄\n山田 一也\n坂 裕和\n松岡 俊\n伊藤...","description_format":"text","description_chars":12829,"description_truncated":true,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Japanese","level":"All levels","optional":true},{"language":"English","level":"All levels","optional":true}]},"benefits":["Health insurance","Hybrid work"],"hiring_locations":[{"name":"Japan","iso":"JP","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Personal Finance Apps & Education","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-09-24T11:58:18Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.867,"p_room":0.72,"age_days":70,"expected_fill_days":130,"reasons":["conf:2","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/money-forward-senior-backend-engineer-ml-platform-tokyo-3","json_url":"https://alion.io/job/money-forward-senior-backend-engineer-ml-platform-tokyo-3.json","meta":{"generated_at":"2026-10-19T09:15:52Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6415,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":13241},"rest":"https://alion.io/mcp/rest/get_company?id=13241"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmoney-forward-senior-backend-engineer-ml-platform-tokyo-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmoney-forward-senior-backend-engineer-ml-platform-tokyo-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmoney-forward-senior-backend-engineer-ml-platform-tokyo-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/money-forward-senior-backend-engineer-ml-platform-tokyo-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmoney-forward-senior-backend-engineer-ml-platform-tokyo-3"}]}