大規模分散システムの設計とアーキテクチャを主導し、高スループットなAPIやデータ処理パイプラインを開発します。コンピュータサイエンス関連の学位または同等の実務経験が必須であり、10年以上のソフトウェアエンジニアリング経験が求められます。Python、Java、Goのいずれかにおける深い専門知識と、GCPでのデプロイ経験が必須です。ジュニアエンジニアのメンタリングや技術戦略の策定も担当します。
Rakuten is a leading Japanese e-commerce and internet services company that offers a wide range of products and services to customers worldwide. With a strong focus on innovation, Rakuten aims to empower individuals, businesses, and society as a whole through its unique ecosystem of e-commerce, fintech, digital content, and communications services.
The Merchandising and Advertisement Department leverages AI-driven advertisement optimization, and pricing and inventory optimization systems based on demand forecasting. By closely integrating the information obtained from merchandising into our advertisement strategies, we maximize the synergy between both functions. This enables us to efficiently deliver optimal offers and information to our customers, thereby contributing to increased sales and enhanced customer satisfaction.
The Advertisement Optimization Group is a team of specialists in ad optimization, with AI at its core. We are responsible for the development and operation of highly effective ad optimization logic and platforms.
Our mission is to maximize publishers' ad revenue while maintaining and improving advertisers' ROAS (Return On Ad Spend). Specifically, we continuously improve ad delivery optimization, bidding/budget allocation, personalization, and performance measurement, contributing to the realization of a world that enhances both advertisers' ROI (Return On Investment) and user experience.
We are looking for a Senior Software Engineer to lead the design, development, and optimization of complex data processing pipelines and high throughput APIs. You will guide technical decisions, mentor engineers, and ensure that our platforms remain robust, scalable, and aligned with long-term business goals. This role is ideal for individuals who thrive in highly technical environments and enjoy solving challenging problems with modern engineering practices.
Experience with Docker, Kubernetes, or other container orchestration tools.
Background in high-availability or mission-critical systems.
Knowledge of SQL/NoSQL databases, caching strategies, and data pipelines.
Familiarity with observability tools (Prometheus, Grafana, ELK, OpenTelemetry).
Exposure to security best practices, secure coding, and compliance requirements.
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