
Money Forward
SRE/Infrastructure Engineer, ML Platform, Tokyo
Japan (Hybrid)RemotePosted Today¥7,008,000 – ¥7,008,000
Full TimeMidRemoteJP
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Job Description
Guided by Money Forward AI Vision 2026, Money Forward is driving company-wide AX (AI Transformation) to deliver “digital workers” — AI agents that carry out business operations autonomously. The CDAO
Key Highlights
- 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, build, and continuously improve the AWS infrastructure behind our serving interfaces, data pipelines, and ML development platform, managed as code with Terraform.
- 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 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.
Qualifications
Required Qualifications
- 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
- Business level Japanese (equivalent to JLPT N2 or above) Please note that the interviews in the selection process will be conducted in Japanese.
- Please note that the interviews in the selection process will be conducted in Japanese.
- Basic business level English (equivalent to TOEIC 700 or above)
Preferred Qualifications
- 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
Skills & Technologies
Machine LearningScrumTerraformAWSCI/CDGitHub ActionsDocker
About the Company
Money Forward
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Job Details
Employment Type
Full Time
Experience Level
Mid
Salary Range
¥7,008,000 – ¥7,008,000
Location
Japan (Hybrid)
Work Mode
Remote
Posted
Today
Country
JP