Software Engineer, Data Management Platform - Global Ad Technology Supervisory Department (GATD)

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.

GATD Website

https://corp.rakuten.co.jp/careers/feature/adtech/en/

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

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

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

Backend

Java Spring Boot/Batch, Microservices, and GCP Serverless (Cloud Run/Jobs).

Frontend

React, TypeScript, and modern web architecture at scale.

• 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

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