This position is closed and is no longer accepting applications.

Data Site Reliability Engineer

PayPay Minato-ku, Tokyo
    💴 ¥9M ~ ¥12M annually
    🏡 Fully remote
    🧪 Minimum years of experience unspecified
    💬 No Japanese required
    🌏 Apply from abroad
    🧳 Relocate to Japan

About PayPay

PayPay Minato-ku, Tokyo

With over 55 million registered users (as of February 2023), PayPay is the country’s most popular mobile wallet. Half of all of Japan's smartphone users are using it, and more than 2 billion payments made per year.

Key benefits

  • International engineering team
  • Japanese lessons on company time
  • Incredible scale

About the position

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.


  • 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.

Nice to haves

These aren’t required, but be sure to mention them in your application if you have them.

  • 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


9 to 12 million JPY annually.

Meet PayPay's Developers

Ashwini leads one of PayPay’s payment sub-teams. She got there by doing something she’s done throughout her career: identifying something she wants to do and asking to do it.

Read her story...
Photo of Yoseph Savianto

iOS Development at PayPay

with Yoseph Savianto

Yoseph joined PayPay after being attracted to their mission of making Japan a cashless society. As an iOS Engineer, he originally joined their iOS feature team, but now works on their platform team, creating an internal SDK for their iOS and Android apps.

Read his story...

Shilei started working on PayPay before it launched, and has seen it grow into a product used by tens of millions of users. He explains how diversity has helped them overcome challenges, and what PayPay is looking for in candidates.

Read his story...
Photo of Adrian Mariadas

Refactoring PayPay’s Android App

with Adrian Mariadas

Adrian came to Japan to join PayPay as an Android Engineer. As the app has grown in scope, refactoring the codebase to ensure development can continue at a rapid pace has been a big part of his job.

Read his story...

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