Data Infrastructure Engineer

3+ years of experience in infrastructure or platform engineering

Hands-on experience with Terraform and Infrastructure as Code workflows

Working knowledge of AWS — IAM, VPC, S3, EC2, and multi-account setups

Familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or equivalent)

Experience with monitoring and observability tools (Prometheus, Grafana, or similar)

Scripting ability in Python and/or Shell

Annual salary paid in 12 installments (monthly)

Based on skills, experience, and abilities

Reviewed once a year

Special Incentive once a year *Based on company performance and individual contribution and evaluation

Late overtime allowance

※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you

The Data Infrastructure team builds and operates the platform that powers data workloads across PayPay Group.

We own the Databricks Lakehouse environment, the cloud infrastructure underneath it, and the tooling that keeps it running — from workspace provisioning and access governance to monitoring, alerting, and incident response.

This role sits at the intersection of cloud infrastructure and data platform engineering.

You'll design and build AWS infrastructure using Terraform, support Databricks workspace and account operations, and improve platform reliability through SRE practices.

Day to day, that means writing IaC, responding to operational issues, shipping platform services, and working directly with data engineers across the group to keep their workloads running smoothly.

You don't need to know Databricks on day one — but you should be comfortable with AWS, Terraform, and the fundamentals of running production infrastructure.