{"id":1176719,"url":"https://alion.io/job/money-forward-sreinfrastructure-engineer-ml-platform-tokyo-3","title":"SRE/Infrastructure 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":111,"ghost_share":0.234,"stale_share":0,"repost_share":0.009,"time_to_fill_p50_days":129,"computed_at":"2026-10-24T06:02:35Z"}},"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":{"min":7008000,"max":11004000,"currency":"JPY","period":"month","gross":null,"usd_annual":840612},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"IAM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Scrum","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon S3","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"AWS Fargate","optional":true},{"name":"Datadog","optional":true},{"name":"Incident Management","optional":true},{"name":"Notion","optional":true},{"name":"PagerDuty","optional":true},{"name":"Python","optional":true},{"name":"Slack","optional":true},{"name":"SQL","optional":true},{"name":"Windows","optional":true}],"status":"live","first_seen_at":"2026-08-10T06:05:21Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-24T20:30:18Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":74},"description":"Only applicants residing in Japan are eligible to apply.\nAbout Us\nAt 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.\nAs announced in \"Money Forward AI Vision 2026(https://www.linkedin.com/pulse/full-transcript-money-forward-announced-ai-strategy-vision-phwoc/?trackingId=sl33ZIGRFzkBJJv7wI9qsg%3D%3D),\" 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.\nRather 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.\nWe 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.\nOverview\nMoney 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 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\".\nOur 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.\nA 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.\nMission Priorities\nDeliver the infrastructure and monitoring that keep serving interfaces and production model endpoints running reliably\nDesign and continuously uphold financial-grade governance and security (mTLS, private network connectivity, and related controls)\nOnce the above are in place, build out an MLOps environment that lets ML and application engineers develop, analyze, and deploy models efficiently\nResponsibilities and Duties\nAs the primary SRE/infrastructure owner for the Digital Bank and fintech domain, you will:\nBuild 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.\n\nDesign and monitor financial-grade network securityArchitect 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.\n\nImprove observability and stand up operations and on-callDesign 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.\n\nDesign and support the data platform / MLOps interfaceDesign 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.\n\nDrive infrastructure collaboration across the groupPartner 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.\n\nRequired Skills and Experience\nApproximately 5+ years of professional experience as an SRE or infrastructure engineer\nHands-on experience designing, building, and operating infrastructure on AWS using services such as ECS, API Gateway, VPC, and IAM\nProven track record operating infrastructure using Terraform for infrastructure as code, module design, and CI/CD automation\nSolid grounding in advanced networking and security with experience designing architectures using VPC Peering, AWS PrivateLink, and TLS or mTLS authentication\nExperience building and operating observability systems including monitoring, alert design, and performance log analysis in cloud environments\nWorking knowledge of CI/CD and container technologies with experience optimizing deployment pipelines using GitHub Actions and Docker\nPreferred Skills and Experience\nInfrastructure support experience in MLOps or data platform domains using tools like Amazon SageMaker, Databricks, or Airflow\nTrack record of standing up operations, defining SLOs and SLAs, and standardizing incident response using tools like Datadog and PagerDuty\nSecurity and audit experience in financial services or payments aligned with standards such as the FISC Security Guidelines\nExperience designing, building, and operating shared platforms in collaboration with data and product teams across multiple organizations\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\nStrong sense of ownership for production reliability and security to keep serving interfaces and private networking stable under high traffic capacity\nDrive to shape architecture and operational tooling during phases of genuine uncertainty by evaluating options and making key decisions\nMotivation to balance financial-grade security and governance with high developer productivity for application and machine learning teams\nDesire to support AI-era product platforms and embrace AI development tools to achieve outsized team impact\nAbility to solve problems autonomously and drive initiatives forward while collaborating closely with engineering teams and cross-company stakeholders\nTechnology Stack\nInfrastructure/Cloud: AWS (ECS Fargate, API Gateway, VPC, PrivateLink, SageMaker, S3, Glue, CloudWatch), Databricks\nDevOps/IaC/MLOps: Terraform, GitHub Actions, Docker\nObservability/Incident: CloudWatch\nAI Development Tools: Claude Code and similar\nLanguages/Scripting: Python, Shell, SQL\nCommunication/Project: Slack, Notion\n※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.\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\nSRE/Infrastructure 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 surve...","description_format":"text","description_chars":13907,"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":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.841,"p_room":0.72,"age_days":74,"expected_fill_days":129,"reasons":["conf:1","velocity","win:mid","crowd:brand"],"computed_at":"2026-10-24T06:02:35Z"},"pay":{"stated_usd_annual":840612,"is_top_pay":true},"html_url":"https://alion.io/job/money-forward-sreinfrastructure-engineer-ml-platform-tokyo-3","json_url":"https://alion.io/job/money-forward-sreinfrastructure-engineer-ml-platform-tokyo-3.json","meta":{"generated_at":"2026-10-24T21:50:19Z","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":32051,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-25T00:00:00Z"}},"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-sreinfrastructure-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-sreinfrastructure-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-sreinfrastructure-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-sreinfrastructure-engineer-ml-platform-tokyo-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmoney-forward-sreinfrastructure-engineer-ml-platform-tokyo-3"}]}