TerraformInfrastructure as CodeAWSPythonShellLinuxCI/CDMonitoring
페이페이에서 Data Infrastructure Engineer를 채용합니다. AWS 환경에서 Terraform을 활용한 인프라 구축 및 Databricks 플랫폼 운영을 담당합니다. 3년 이상의 인프라 엔지니어링 경력이 필수이며, SRE 관점의 시스템 안정성 개선 경험을 우대합니다. 하이브리드 근무 환경에서 데이터 플랫폼의 고도화를 이끌어갈 분을 찾습니다.
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.
Main 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.
Working Conditions
Employment Status
Full Time
Office Location
Hybrid Workstyle
※ You will be expected to work in the office, in alignment with organizational guidelines and team objectives.
In principle, 9:00am-5:45pm + 1h break (actual working hours: 7h45m + 1h break)
Holidays
Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days
Paid leave
Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
Personal leave (5 days each year, granted proportionally according to the month of employment）
＊PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc.
Salary
Annual salary paid in 12 installments (monthly)
Based on skills, experience, and abilities
Reviewed once a year
Late overtime allowance
※Payroll payment can be changed to digital salary payment “PayPay Paycheck” for an amount set by you
Benefits
Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
