Software Engineer, Data Management Platform - Global Ad Technology Supervisory Department (GATD)
LocationTokyo, Japan
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentGlobal Ad Technology Department
Company size10,000+ people
PostedJun 19, 2026 · 3mo ago
Verified live3h ago
At a glanceSummarised by Seekless from the posting.
Must have3
3+ years of professional software engineering with a production-first mindset
Mastery in exactly two of the following areas (Must have around 3 years of experience): Backend: Java Spring Boot/Batch, Microservices, and GCP Serverless (Cloud Run/Jobs). Frontend: React, TypeScript, and modern web architecture at scale. Data Processing: BigQuery, GCP Dataflow, Apache Spark, and large-scale ETL (100+ TB). Platform/DevOps: Terraform, CI/CD pipelines, and observability/cost monitoring.
High-performance thinking (latency/throughput), architectural judgment, and proficiency with AI productivity tools
Nice to have5
Practical knowledge of system performance tuning including OS, middleware, JVM and application
Familiar with container deployment setting (Docker, k8s, Jenkins)
Experience of Frontend development with TypeScript, React, Material UI
Experience of data processing with Spark, Kafka
Contributing to OSS community
Skills
Java
Spring Boot
GCP
Cloud Run
React
TypeScript
BigQuery
Dataflow
Apache Spark
Terraform
CI/CD
Docker
Kubernetes
Jenkins
Material UI
Kafka
Job Description:
Department Overview
The Global Ad Technology Department (GATD) manages the whole of the advertising systems that power Rakuten. We are a cross-functional and data-driven organization working together in a diverse team spread across 4 countries: Japan, Singapore, India, and China.
Our vision is to empower our internal and external stakeholders by providing data driven marketing solutions by developing the AD delivery, Tracking, Reporting and Data Sync Platforms. Joining us, you will be able to challenge yourself in a wide range of technologies in the frontline of heavy traffic large scale ad applications and platforms, including high performance system development and big data processing systems.
Our group is responsible for building and maintaining the technology and infrastructure that powers advertising activities within the Rakuten environment and externally. We are not just running ads; we are building the platforms that enable Rakuten and its partners to run ads and marketing activities.
Position:
Why We Hire
We’d like to accelerate development of our Data Management Platform and related services. Hence, we’re widely recruiting new talents from inside/outside the company.
Position Details
You, as a Software Engineer in the team will be required strong direct marketing insight across multiple marketing channels as well as strong technical knowledge to implement user story into the platform and support marketing activity quickly and efficiently.
Responsibilities
Responsibilities
Your main responsibility will be development and maintenance of Data Management Platform understanding both business demand and available system assets.
•
Involved in whole process of web application and data pipeline development life cycle: architecture design, middleware selection, development, configuration setting, release and system operation
•
In case of trouble, detecting root cause and recovering with team members proactively with ownership of service/system
•
Proposing new technologies, middle-wares, tools etc. to improve architecture of systems
Mandatory Qualifications:
•
Experience: 3+ years of professional software engineering with a production-first mindset
•
Deep Domain Expertise: Mastery in exactly two of the following areas (Must have around 3 years of experience) :
•
Backend: Java Spring Boot/Batch, Microservices, and GCP Serverless (Cloud Run/Jobs).
•
Frontend: React, TypeScript, and modern web architecture at scale.
•
Data Processing: BigQuery, GCP Dataflow, Apache Spark, and large-scale ETL (100+ TB).
•
Platform/DevOps: Terraform, CI/CD pipelines, and observability/cost monitoring.
•
Core Competencies: High-performance thinking (latency/throughput), architectural judgment, and proficiency with AI productivity tools.
Desired Qualifications:
•
Practical knowledge of system performance tuning including OS, middleware, JVM and application
•
Familiar with container deployment setting (Docker, k8s, Jenkins)
•
Experience of Frontend development with TypeScript, React, Material UI