Cloud Platform Engineer (K8S&NW Specialist)

Posted: 2025-07-09

About PayPay

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.

We are seeking a highly skilled and experienced Platform Engineer to manage and enhance our end-to-end application delivery platform, from CloudFront to the underlying EKS clusters. Moving beyond standard maintenance, this role combines production infrastructure ownership with software engineering. You will build and scale robust in-house platform tools, develop custom Kubernetes controllers, and automate complex workflows safely.

The ideal candidate will have a strong foundation across cloud infrastructure, networking, Kubernetes, and service mesh technologies, with deep expertise in at least one of these areas. The candidate will also have production experience in Python or Go and the versatility to become productive in the other. We particularly value engineers who can quickly understand unfamiliar systems, capable of using AI-assisted development effectively while remaining accountable for production stability, code maintainability, and operational safety.

In this role, you will play a pivotal part in raising our engineering velocity and defining the reliability standards of our platform.

- Develop, maintain, and automate in-house tools, Kubernetes manifest generator engine and scripts using programming languages like Python or Go to improve platform operations and efficiency.

- Perform upgrades and patching of EKS clusters and associated components, and improve the process through safe, repeatable automation.