Data Infrastructure Engineer

Summary

PayPay is a FinTech company that has rapidly grown to over 70 million users since its launch. They are seeking a Data Infrastructure Engineer to design and manage AWS infrastructure, support the Databricks Lakehouse platform, and ensure reliability through SRE practices.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• VISA sponsor + Relocation support
• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Translation/Interpretation support
• 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.