Data Infrastructure Engineer

About Pay Pay

Pay Pay is a Fin Tech 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. Pay Pay 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 Pay Pay with professionalism and passion.

Please note that you cannot apply or be selected in parallel with Pay Pay Corporation, Pay Pay Card Corporation and Pay Pay Securities Corporation.

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

• Design, build, and manage AWS cloud infrastructure using Terraform, following IaC and Git Ops 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 Pay Pay 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

• 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 (Git Hub 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

• Experience with Databricks, EMR, or other data platform technologies
• Exposure to Kubernetes and Git Ops 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

• Full Time

• Hybrid Workstyle (flexible working style including Remote and office) You will be expected to work both in the office and remotely, in alignment with organizational guidelines and team objectives.
• LIFE in JAPAN FACTBOOK

• Super Flex Time (No…