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Data Site Reliability Engineer

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Job updated about 1 month ago

Job Description

About PayPay

PayPay, a Fintech company, that achieved more than 58M users within around 5 years since its launch in 2018 has hugely diversified employees who are from 50 different countries. To build "PayPay", we allied with Paytm, the biggest payment service company in India. Based on their customer-first technologies , we created and expanded the smartphone payment service in Japan.

Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.

Job Description

At PayPay, we're constantly working on improving our systems and processes to support PayPay's exponential growth. As a Data SRE at PayPay, we strive towards empowering our developers with the right tools and ensuring high availability and top-level performance so that our users can have a great experience with our services. 

Considering PayPay's growth, we are looking for experienced SREs 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, modeling, processing and ETL designs
  • Has, in part 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 performance 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 hand-on experience with AWS Cloud Native Data Applications and production workloads

Requirements

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

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)
Holidays
  • Two days off per week (as well as national holidays, New Year's break(December 29th to January 4th))
  • Paid leave, congratulatory and bereavement leave, maternity/paternity leave, family care leave etc
Salary
  • Annual salary paid in 12 installments (monthly)
  • Based on skills, experience, and abilities
  • Reviewed once 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)
Benefits
  • Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
  • 401K
  • Language Learning support
  • Translation/Interpretation support
  • VISA sponsor + Relocation support

Other Information:

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4
5 years of experience required
7,000,000 ~ 10,000,000 JPY / year
100% Remote Work
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About us

PayPay, a Fintech company, that achieved more than 60M users within around 5 years since its launch in 2018 

PayPay, a Fintech company, that achieved more than 60M users within around 5 years since its launch in 2018 has hugely diversified employees who are from 50 different countries. 

To build "PayPay", we allied with Paytm, the biggest payment service company in India. Based on their customer-first technologies , we created and expanded the smartphone payment service in Japan.

Our biggest competitor is "cash". We are seeking for people who can accept this challenge positively, brush up the product at a tremendous speed that other companies could never achieve, and who are passionate about promoting and spreading such a financial life platform in a short time along with professionalism.

About our working style, we had introduced a new personnel system called WFA (Working From Anywhere*). At PayPay, we work fully remotely in Japan. Therefore, the working place or your living place doesn't matter. Even if you are living in a local area, the salary and benefit package will be at an international level while you enjoy working with world class colleagues. You will find such a way of working at PayPay! *This WFA policy is applicable only within Japan.

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Team

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Global Talent Soucering Team/Manager
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TA
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Head of Talent Aquisiton
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TA
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Technical Recruiter

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