SRE / Infrastructure Engineer

Job ID: 08072

SRE / Infrastructure Engineer, ML Platform

Location: Tokyo, Japan

Work Style: Hybrid / Remote Work Available

Salary: ¥7,008,000 - ¥11,000,000

About the Role

Our client is looking for an SRE / Infrastructure Engineer to take ownership of infrastructure supporting its ML Ops Platform, Digital Bank, and fintech products.

You will play a key role in preparing the infrastructure for the company's planned Digital Bank launch, with a strong focus on reliability, security, observability, and high availability.

This is an opportunity to own infrastructure end to end while working closely with application engineers, ML engineers, data teams, and other SREs.

Responsibilities

• Design, build, and operate AWS infrastructure using Terraform
• Build reliable infrastructure for serving interfaces, data pipelines, and ML platforms
• Design secure network architectures using VPC, PrivateLink, VPC Peering, TLS/mTLS
• Establish monitoring, alerting, SLOs/SLA and incident response processes
• Improve observability using CloudWatch
• Support integration between Databricks and the ML Ops Platform
• Optimize CI/CD pipelines and container-based deployments
• Collaborate with data, product, ML, and SRE teams across the group

Tech Stack

AWS, ECS Fargate, API Gateway, VPC, PrivateLink, SageMaker, S3, Glue, CloudWatch, Databricks, Terraform, GitHub Actions, Docker, Python, Shell, SQL

The team also actively uses AI development tools such as Claude Code.

Requirements

Must Have:

• Around 5+ years of experience as an SRE or Infrastructure Engineer
• Hands-on AWS experience with services such as ECS, API Gateway, VPC, and IAM
• Professional experience using Terraform for IaC and automation
• Experience with networking and security, including VPC Peering, AWS PrivateLink, TLS/mTLS
• Experience building and operating cloud observability and monitoring systems
• Experience with CI/CD and Docker
• Business-level Japanese
• Basic business-level English (TOEIC 700+ equivalent)

Nice to Have:

• Infrastructure experience supporting MLOps or data platforms
• Experience with SageMaker, Databricks, or Airflow
• Experience establishing SLO/SLA, on-call, and incident response processes
• Financial services or payments security/audit experience
• Experience building shared platforms across multiple teams or organizations

Why Join?

• Own infrastructure supporting a major Digital Bank and fintech initiative
• Work with modern AWS, MLOps, cloud security, and observability technologies
• Strong ownership and autonomy over infrastructure
• Collaborate closely with ML, application, data, and product engineers
• Opportunity to shape architecture and operational processes from an early stage
• Work in an environment actively adopting AI development tools

We also have several other software engineering, SRE, infrastructure, data, and AI roles available, so if this position isn't the right fit, we'd be happy to explore other opportunities with you.