Site Reliability Engineer (SRE)

Position Overview

• Location Type: Remote
• Job Type: Full-time
• Salary: Not specified

PayPay is a FinTech company that has grown to over 69M (as of May 2025) 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.

Job Description

At PayPay, we’re constantly working on improving our systems and processes to support PayPay’s exponential growth. As an SRE at PayPay, we strive towards ensuring high availability and top-level performance so that our users can have flawless and reliable service exceeding expectations. Considering PayPay’s growth, we are looking for experienced SREs who can deliver insights into system bottlenecks and ensure system reliability and scalability, while increasing the number of services that our company offers. We are looking for individuals who can bring informed and unique viewpoints, enjoy collaborating with a cross-functional team and are actively pushing boundaries to develop reliable and scalable solutions and positive user experiences.

Key Responsibilities

• Analyze current technologies used in the company and develop monitoring and notification tools to improve observability and visibility.
• Ensure system stability by pre-emptively verifying failure scenarios and implement solutions to reduce MTTR.
• Develop solutions to improve system performance with a focus on high availability, scalability and resilience.
• Integrate telemetry and alerting platforms to track and improve reliability of systems.
• Implement industry best practices for system development, configuration management and system deployment.
• Ensure seamless flow of information between teams by documenting knowledge gained.
• Be up to date on modern technologies and trends to advocate for inclusion within products if they add value.
• Participate in incident management including troubleshooting production issues, driving root cause analysis (RCA) and actively sharing lessons learned to improve system reliability and internal knowledge.

Qualifications

• Experience troubleshooting, tuning high performance microservice architectures running on Kubernetes and AWS in highly available production environments.
• 5+ years experience in software development in Python, Java, Go, etc with strong fundamentals in data structures, algorithms, problem solving and complexity analysis. During the selection process, you will have a coding challenge.
• Curious and proactive in finding performance bottlenecks, scalability and resilience problem areas and addressing them.
• Experience with observability tools and gathering data.
• Database knowledge such as RDS, NoSQL, distributed TiDB, etc.
• Excellent communication skills, collaborative and getting things done attitude.
• Enjoy taking up a challenge and driving it to conclusion.

Preferred Qualifications

• Container image management and optimization.
• Experience in large distributed system architecture and capacity planning.
• Understanding of IaC, automation tools, terraform, cloud formation, etc.
• Background in SRE/DevOps concepts and implementation.
• Experience in managing monitoring tools like CloudWatch, VictoriaMetrics, P