PayPay Securities Cloud Infrastructure Engineer (V3)

• About PayPay Securities / PayPay証券について
• Job Description / 業務について
  • ※ Please note that this job is for Japan Residents Only
  • Highlights of the opportunity / ポジションの魅力:
  • Responsibilities / 主な担当業務:
  • Qualifications / 必要なスキル・経験 :
  • Preferred Qualifications / あると望ましいスキル・経験:
  • The ideal candidates at PayPay Securities / PayPay証券が求める人物像
•  
• Working Conditions
  • Employment Status
  • Office Location
  • Work Hours
  • Holidays
  • Paid leave
  • Salary
  • Benefits
• 待遇・条件
  • 雇用形態
  • 勤務地
  • 勤務時間
  • 休日
  • 給与
  • ベネフィット

Career Opportunity for a Senior Backend Engineer in Japan! 

■ Senior Backend Engineer (English speaking position)

■ Company Overview

A leading FinTech organization, cashless payments in Japan, offering innovative and convenient credit services integrated with a major digital payment platform.

■ Your Role and Responsibilities 

●We are looking for senior Backend engineers to build, or rebuild, rock solid services with a laser focus on scalability and maintainability.

●Rearchitect our systems landscape: we want to reassess and fix the behind-the-scenes to power a top-notch user experience. It is bundled with difficult design challenges to solve: we simply want to get it right.

●Design, support the implementation and deliver large scale, and complex, systems

●Manage teams stakeholders such as product managers or frontend engineers but also other team leads or non-tech stakeholders.

●Leverage the infrastructure to solve such large scale problems.

●Acts as a gatekeeper to the team quality standard

●Triage, debug and resolve product issues or other incoming inquiries

●Mentor other team members and saveguard the team quality standards

■ Experience and Qualifications

●5+ years equivalent experience in SaaS platform development.

●Experience in any OOP based language e.g Kotlin, Java, C#, Scala etc.

●Experience with RDBMS and NoSQL databases, along with distributed cache.

●Strong fundamentals in data structures, algorithms and object oriented programming.

●In-depth understanding of concurrency and distributed computing.

Back-end services:

Main implementations are in Spring Boot, with a mix of Java 11/Spring Boot 2 and Java

17/Spring Boot 3.

Some legacy systems are written in Java EE.

Testing is done with JUnit and Mockito

Deployment relies on AWS ECS

CI/CD is handled by AWS CodePipeline

Infrastructure

All our services run in AWS

Infrastructure is managed by AWS CloudFormation

AWS CloudWatch is used for observability

Coding environment: GitHub, IntelliJ, Gradle

Documentation & Project management: Confluence, Miro, JIRA

Communication: Slack, Zoom, Office 365

■ Additional Preferred Qualifications
●Experience with Java/Spring Boot framework

●Experience with implementing platform components such as RESTful APIs, Pub/Sub Systems, Database Clients.

●Experience in system design for high traffic application with scalability in mind

●Experience with microservices & event-driven architecture

●Experience gRPC communication design and implementation

●Experience in a multicultural environment

●Japanese conversational proficiency is a plus

■ Good Reasons to Join

● Hybrid work environment within Japan

● Work with International team members

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

Career Opportunity for a Cloud Infrastructure Engineer in Japan! 

■ Cloud Infrastructure Engineer

■ Company Overview

A fintech company has grown rapidly and is widely used as a payment platform by about half of smartphone users in Japan. It also offers simple, everyday investment services through a mobile app, making asset management easy and accessible. As part of a larger group, the company is rapidly improving its products and driving the adoption of cashless payments and digital financial services in Japan. It is looking for professionals who are proactive, collaborative, and passionate about creating new value.

■ Your Role and Responsibilities 

Be part of the team to build up a new organization and environment. Develop skills in making business plans from a high perspective, through the high-level coordination with departments. Gain experience in a company that aiming to be the pioneer in the market to provide great services, which never had before during the era of Financial reformation

●Architect and build a robust, scalable and stable infrastructure

●Architect and build Infrastructure that is easily maintainable during patching and upgrades without downtime

●Architect and build Infrastructure with AWS regional level failure tolerance

●Work together with our Security Engineers to provision a secure Infrastructure

●Automations for AWS Deployments to ensure fast delivery of Cloud Services to our developers

●Provide through Automations means for developers to easily deploy resources on AWS

■ Experience and Qualifications

●5+ years of technical experience in AWS based Infrastructure solution design and build

●Experience in production level Infrastructure change management and releases for High traffic & business-critical systems

●Good understanding of Cloud security best practices and payment industry compliance standards

●Experience in production incident management and cross team collaboration

●Extensive technical hands-on experience of Computing, Storage and Analytical Services on Cloud(AWS)

●Experience with IAC tools in AWS such as Terraform etc.

●Experience with Linux Internals and System Administration

●Experience with Cloud Services Monitoring, Detection and Response

●Experience in Cloud Infrastructure Service patching and upgrades

■ Additional Preferred Qualifications
●Has maintained over 200 servers/containers in a production, customer facing cloud environment

●Experience in Disaster recovery for cloud systems and improvements for RTO and RPO

●Experience with other cloud service providers (e.g Google Cloud)

●Experience in Cloud Services Performance Tuning, cost controls and management

●Experience using and contributing to Open Source tools

●Published papers / blogs / articles - Experience in managing IT compliance and security risk

●Experience in working for infrastructure design and build in securities, finance, or similar industries

●Experience in in-house service operations

■ Good Reasons to Join

● Hybrid work model (flexible working style including Remote and office)

● Work with International team members

● Business level Japanese proficiency is required (JLPT N1 / Native)

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

Career Opportunity for a Robotics Software Engineer in Japan! 

■ Robotics Software Engineer

■ Company Overview

We combine AI and conversation design expertise, provides brands the ability to easily create and integrate automated chat experiences, transforming post, story, or ad into personalized interactive experiences.  

■ Your Role and Responsibilities 

●Design and build the on-robot runtime: ROS 2 nodes, task orchestration/state machines, safety guards, and recovery behaviors

●Serve learned policies on-robot and at the edge (policy servers, streaming inference, latency budgets on Jetson-class hardware)

●Integrate subsystems into one working robot: manipulation policies (Zen), navigation/SLAM, voice interaction, fleet telemetry

●Own deployment and operations tooling: containerized builds, system services, OTA updates, remote debugging of field robots

●Build the observability layer: structured logging, telemetry ingestion, incident triage for deployed robots

●Work with FDEs to turn field failures into runtime fixes and with the Data Platform team to capture every run as training data

■ Experience and Qualifications

●5+ years of software engineering, with 2+ years shipping software that ran on physical robots or embedded/edge systems in production

●Strong modern C++ and Python

●Production ROS / ROS 2 experience on Linux (real robots, not only simulation)

●Real-time thinking: latency budgets, lock-free queues where needed, graceful degradation, watchdogs

●Docker, Git, CI/CD as daily tools; comfort debugging a robot over SSH in the field

●Working English (team documentation is in English); Japanese is a plus for field work

■ Additional Preferred Qualifications
●On-device ML inference (TensorRT, ONNX Runtime, GPU serving) and Jetson/edge optimization

●Experience integrating learned policies (VLA/BC) into control stacks

●Fleet management, OTA update systems, or remote operations tooling

●Voice/multimodal interaction pipelines

●Safety frameworks for robots operating around people

Why This Role

●OS is where the whole company converges: your code decides whether hardware (D1) plus intelligence equals a robot a hospital can rely on.

●Field feedback in days: robots you deploy run real shifts at real customer sites in Japan.

■ Good Reasons to Join

● English speaking position

● Work with International team members

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

Career Opportunity for an AI Application Engineer in Japan! 

■ AI Application Engineer (English speaking position)

■ Company Overview

An e-commerce, fintech, digital content and communications company with more than 30,000 employees, and operations in 30 countries and regions.

■ Your Role and Responsibilities 

●You will lead the development of next-generation AI agents, work closely with business stakeholders, you will drive the system design, implementation, and production operations of autonomous AI agents that support both end users and accommodation partners.

What Makes This Role Unique

●Be a core member driving the design and development of next-generation AI agents powered by generative AI.

●Actively adopt and experiment with the latest LLMs, agent frameworks, and the Model Context Protocol (MCP) in AI agent development.

●Work on product development that leverages companies large-scale data assets.

●Be involved in designing and building data and AI platforms on cloud environments.

●Make a direct impact on the core features that are closely linked to business growth.

Key Responsibilities

●Design and develop AI agents for the use cases such as search, booking, and customer support, including orchestration across MCP, tools, and backend systems.

●Define functional and non-functional requirements for AI agents based on business needs and user pain points.

●Implement and continuously improve AI agent and MCP platforms using LLM APIs (e.g., OpenAI, Vertex AI, Azure OpenAI) and modern agent frameworks.

●Design context management through knowledge bases and RAG architectures, and integrate with internal and external APIs/systems (e.g., tool invocation, multi-agent communication).

●Define conversation-quality metrics, build automated evaluation and test cases, and continuously drive quality improvements based on user logs and feedback.

●Own deployment, monitoring, and troubleshooting in production environments, and plan A/B tests to to evaluate the effectiveness and improve the system.

●Establish and refine development processes (e.g., Docker, CI/CD), providing technical leadership to the team through code reviews, mentoring, and knowledge sharing.

■ Experience and Qualifications

●5+ years of experience developing systems that incorporate machine learning/AI.

●2+ years of experience leading projects end to end, from system design to production release, for systems using machine learning/AI 

●Hands-on experience developing AI agents/MCP using AI agent frameworks such as OpenAI Agent SDK, Google ADK, etc.

●Experience in context engineering to personalize AI agent behavior and optimize response quality.

●Experience designing evaluation frameworks for AI agents and automating evaluation workflows.

●Experience working in cross-functional teams.

●Experience validating impact based on the product KPIs, and driving continuous improvement through A/B testing.

■ Additional Preferred Qualifications
●Practical experience applying machine learning to real-world business problems, or an academic background in a related field

●Experience with DevOps / LLMOps practices (e.g., Docker, CI/CD).

●Development experience on cloud infrastructure platforms such as Google Cloud Platform (GCP).

■ Good Reasons to Join

● Hybrid position in Japan

● Work with International team members

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.

Career Opportunity for a Data Engineer in Japan! 

■ Data Engineer (English speaking position)

■ Company Overview

An e-commerce, fintech, digital content and communications company with more than 30,000 employees, and operations in 30 countries and regions.

■ Your Role and Responsibilities 

●As a Data Engineer, your primary responsibility will be to design, develop, and maintain scalable data pipelines and  systems that support our search functionality.

Key Responsibilities 

●Design, develop, and maintain scalable and efficient data pipelines using modern data technologies. 

●Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs. 

●Implement and manage ETL (Extract, Transform, Load) processes to ensure data is accurately 

●Optimize and maintain data storage solutions, including data lakes, data warehouses, and databases. 

●Ensure data quality, integrity, and security across all data systems. 

●Stay up-to-date with the latest trends and best practices in data engineering and modern data technologies. 

●Document data processes, systems, and workflows to ensure knowledge sharing and continuity. 

■ Experience and Qualifications

●Proven experience as a Data Engineer  

●Strong proficiency in SQL. 

●Experience with modern data technologies such as Apache Spark, Apache Kafka, Apache Flink, Hadoop, and cloud-based data platforms (e.g., AWS, GCP, Azure). 

●Proficiency in programming languages such as Python, Java, or Scala. 

●Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Airflow). 

●Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). 

●Knowledge of data modeling, data architecture, and data governance principles. 

●Strong problem-solving skills and attention to detail. 

■ Additional Preferred Qualifications
●Experience with containerization and orchestration tools (e.g., Docker, Kubernetes). 

●Knowledge of machine learning and data science workflows. 

●Knowledge of semantic search and image search related technologies. 

●Familiarity with data visualization tools (e.g., Tableau, Power BI).

■ Good Reasons to Join

● Hybrid position in Japan

● Work with International team members

■ Work Location

Tokyo, Japan

Details will be provided during the meeting.