Data Infrastructure Engineer

PayPay; India; Sur place; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

PayPay is seeking a Data Infrastructure Engineer to design, build, and operate the AWS-based data platform that powers PayPay Group workloads. You will work on Terraform IaC, Databricks Lakehouse operations, and platform services to keep data workloads running reliably.

You should enjoy solving complex systems, collaborate with data engineers, and contribute to on-call incident response. Hybrid workstyle with on-site collaboration is expected, and you should be comfortable with production infra

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

Responsabilités

• 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

Connaissances

Infra engineering

Cloud architecture

SRE practices

Python

Outils

Terraform

AWS

CI/CD

Prometheus

Grafana

Python

Linux

Networking

Kubernetes

GitHub Actions

Jenkins

Databricks

Airflow

Kafka

Description du poste

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

• 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
• 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.
• 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
• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)