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发布于 2026-05-22 英文原文

数据基础设施工程师

Data Infrastructure Engineer

PayPay

职种工程 雇用形态全职
工作地点日本(混合办公) 薪资年薪制(按月分12次发放),根据技能、经验和能力确定,每年评审一次,另有深夜加班津贴。

职位概要

PayPay是一家金融科技公司,自2018年推出以来用户已超过7500万,团队来自50多个国家。数据基础设施团队负责构建和运营支撑PayPay集团数据工作负载的平台,包括Databricks Lakehouse环境、底层云基础设施及运维工具。该岗位处于云基础设施与数据平台工程的交叉点,需使用Terraform设计和构建AWS基础设施,支持Databricks工作区和账户运营,并通过SRE实践提升平台可靠性。主要职责包括:以IaC和GitOps实践设计、构建和管理AWS云基础设施;运营和改进Databricks Lakehouse平台,包括工作区配置、配置管理和日常可靠性;构建和维护支持集团内数据工程师的平台服务和工具;通过监控、告警、仪表盘和事件响应加强系统可靠性;实施数据治理和安全控制;与数据工程团队协作;参与值班轮换。要求5年以上基础设施或平台工程经验,熟悉Terraform和IaC工作流,掌握AWS(IAM、VPC、S3、EC2、多账户),熟悉CI/CD流水线、监控可观测性工具,具备Python/Shell脚本能力,扎实的Linux/Unix、网络和安全基础。优先条件包括Databricks/EMR经验、Kubernetes和GitOps工具、Kafka、工作流编排工具、Spark/Hadoop及平台工程背景。雇佣形式为全职,采用混合办公模式,弹性工作制无核心时间,周末及日本法定节假日休息,提供年假、个人假、社会保险、401K、签证赞助和搬迁支持。

职位描述

About PayPay PayPay is a FinTech company that has grown to over 75M (as of August 2026) 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 5+ 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. LIFE in JAPAN FACTBOOK   Work Hours Super Flex Time (No Core Time) 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) 401K Translation/Interpretation support VISA sponsor + Relocation support Other Information: PayPay Inside-Out (Corporate Blog) /JP PayPay Inside-out (Corporate Blog) /ENG PayPay Product Blog /JP PayPay Product Blog /ENG PIVOT動画:【PayPayが仕掛ける金融革命】