About PayPay PayPay is a FinTech company that has grown to over 70M (as of July 2025) users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. OUR VISION IS UNLIMITED_ We dare to believe that we do not need a clear vision to create a future beyond our imagination.

PayPay will always stay true to our roots and realize a vision (future) that no one else can imagine by constantly taking risks and challenging ourselves. With this mindset, you will be presented with new and exciting opportunities on a daily basis and have the opportunity to grow and reach new dimensions that you could never have imagined. We are looking for people who can embrace this challenge, refresh the product at breakneck speed and promote PayPay with professionalism and passion.

※ Please note that you cannot apply or be selected in parallel with PayPay Corporation, PayPay Card Corporation and PayPay Securities Corporation. Job Description 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.

We're looking for someone who can carry projects independently, thinks about systems beyond the ticket in front of them, and wants to go deeper on data infrastructure as a discipline. 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.

Responsibilities

Design, build, and manage AWS cloud infrastructure using Terraform, following IaC and GitOps practices Operate and improve the Databricks Lakehouse platform — workspace provisioning, configuration management, and day-to-day reliability Build and maintain platform services and tooling that support data engineers across PayPay Group companies Strengthen system reliability through SRE practices: monitoring, alerting, dashboarding, and incident response Implement and enforce data governance and security controls in line with compliance

Requirements

Collaborate with data engineering teams on infrastructure needs for their projects and workloads Participate in on-call rotation and operational support for the data platform

Qualifications

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 Solid fundamentals in Linux/Unix, networking (DNS, HTTP, basic OSI model), and security best practices

Preferred Qualifications

Experience with Databricks, EMR, or other data platform technologies Exposure to Kubernetes and GitOps tooling (EKS, ArgoCD) Familiarity with Kafka or event-based data ingestion patterns (CDC, batch consumption) Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect) Experience with Spark, Hadoop, or large-scale data processing frameworks Background in platform engineering — building internal tooling, developer experience, or self-service infrastructure PayPay 5 senses Please refer PayPay 5 senses to learn what we value at work.

Data Infrastructure Engineer