About PayPay

PayPay is a fintech company that has grown to over 55M users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. To build "PayPay", we allied with Paytm; the biggest payment service company in India. Based on their customer-first technology, we created and expanded the smartphone payment service in Japan.Our biggest competitor is "cash". We seek people who can accept this challenge positively, brush up the product at a tremendous speed, and promote PayPay with professionalism and passion.

Job Description

At PayPay, we're constantly working on improving our systems and processes to be prepared for PayPay's exponential growth. As a Data SRE at PayPay, we strive towards empowering our developers with the right tools and ensuring high availability, top-notch performance so that our users can have a great experience with our services.
Considering PayPay's growth, we are looking for experienced SRE who can deliver Observability, Stability and Operations of Data Systems/Pipelines bottlenecks, ensure reliability of the Data Pipelines, Data Lakes, Job Schedulers.
Specifically, we are looking for someone who can bring informed and unique viewpoints, enjoy collaborating with a cross-functional team, and is actively pushing boundaries to develop scalable Big Data solutions and positive user experiences.

Main Responsibilities

  • Define SLOs, SLIs with respect to key indicators like Data Freshness, Data Quality, etc.
  • Design, Support and improve the availability, scalability, stability, reliability, monitoring and alerting & latency of Paypay Data systems
  • Manage day-to-day operations of data services, near real-time and batch data pipelines
  • Create new designs, architectures, standards and methods for large-scale distributed systems
  • Knowledge of ingesting, modelling, processing and ETL designs
  • Has, in past demonstrated managing large scale production grade Data Lake, Data Warehouse & ETL systems
  • Should be the Point Person for data integrity/quality within data storage systems and perform root cause analysis & triage issues
  • Should be involved in Data Storage capacity planning, make forecasts, and ability to tune the systems
  • Work with multiple stakeholders across teams to build secure data transfer Qualifications
  • Good understanding of DevOps concepts and implementation
  • Expertise in designing, analyzing, and troubleshooting large-scale distributed systems like Redis, Elasticsearch, Kafka, Hadoop and MySQL
  • Experience in analytical solutions like Looker
  • Experience in Data Lakes like Apache Hudi, Data Warehouse like Big Query and RedShift
  • Knowledge of Spark, Glue, Python and Scala
  • In-depth knowledge and hands-on experience with AWS Cloud Native Data Applications and production workloads

Preferred Qualifications

  • Knowledge about Microservices
  • Knowledge about observability and how to gather data
  • System design experience and capacity planning for large distributed systems
  • Understanding of Automation tools and implementation
  • Terraform/cloud formation experience
  • Experience with managing monitoring tools like Cloudwatch, NewRelic, etc. Good understanding of DevOps concepts and implementation

[Extra requirements depending on the potential team if it has been identified]

PayPay 5 senses

Working Conditions 

Employment Status

  • Full Time

Office Location

Work Hours

  • Super Flex Time (No Core Time)
  • In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)


  • 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 twice a year
  • Special Incentive once a year *Based on company performance and individual contribution and evaluation
  • Late overtime allowance, Work from anywhere allowance (JPY100,000)


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

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