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About the Role

We are seeking a Senior Software Engineer to join our Ad Product Section (APS) division, a high-performance, global team focused on defining the next generation of our advertising platform. This role requires architectural and technical cultural leadership, owning the end-to-end product development lifecycle with a modern tech stack and AI-augmented workflows. The ideal candidate will shape the industry, build scalable systems, mentor engineers, and integrate AI to enhance productivity and software quality.

Responsibilities

Provide technical leadership by translating complex business requirements into robust, scalable, and maintainable technical specifications and architectural designs.
Own the full SDLC, including design, implementation, deployment, monitoring, and proactive maintenance.
Conduct rigorous code reviews to ensure adherence to design patterns, security best practices, and long-term maintainability.
Integrate AI-powered coding assistants to drive engineering velocity and establish standards for AI-assisted code generation.
Maintain a deep understanding of the product ecosystem to identify and address technical debt and architectural bottlenecks.
Proactively propose and lead initiatives for system refactoring and enhancement.
Leverage advanced prompt engineering to automate repetitive tasks and maximize team bandwidth.
Evaluate emerging technologies and AI tools, creating strategic roadmaps for innovation integration.
Act as the primary technical bridge between Product, Design, and Engineering.
Translate high-level business objectives into clear, actionable technical plans.
Influence product roadmaps by anticipating future technical constraints and opportunities.
Actively mentor junior engineers and interns, fostering a culture of technical excellence.
Champion a culture of continuous learning and knowledge sharing on modern development paradigms and AI-assisted workflows.

Requirements

6 or more years of professional software engineering experience with a proven track record of leading complex, large-scale web application projects.
Deep hands-on expertise in Java (Spring Boot/Batch) and Cloud-native architectures (GCP ecosystem: BigQuery, DataProc, Composer).
Ability to design for scale, performance, and high availability.
Strong proficiency in both relational (MariaDB/MySQL) and NoSQL (MongoDB) databases.
Demonstrated experience in designing or implementing Agentic AI workflows using frameworks like LangChain, n8n, dify, or custom agent orchestration.
Expert in designing and deploying production-grade LLM applications, including model selection, RAG pipelines, agentic orchestration, tool integration, and evaluation frameworks.
Expert-level fluency in AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code) for high-velocity development while maintaining security and quality.
Experience analyzing complex business systems and creating solution designs.
Proven architecture and design experience for cloud-based platforms and enterprise applications, including microservices, API design, and asynchronous communication patterns.
A "get-things-done" mindset with demonstrated accountability for system health and team output.
Excellent communication skills, with the ability to present architectural decisions to diverse audiences.
Strategic Product Thinking with deep analytical abilities to transform complex business requirements into AI-driven platform capabilities.

Skills

Java
Spring Boot
Spring Batch
GCP
BigQuery
DataProc
Composer
MariaDB
MySQL
MongoDB
Agentic AI
LangChain
n8n
dify
LLM Systems Architecture
RAG
AI-assisted coding
Cursor
GitHub Copilot
Claude Code
Microservices
API design
Asynchronous communication patterns
Prompt engineering
Vector databases
LLM observability
LangFuse
Git
Agile/Scrum
Jira

Location

Tokyo
Singapore
India
China

Work Type

Full-time

Experience Level

Senior

About the Company

The Ad Product Section (APS) division is a high-performance, global team distributed across Tokyo, Singapore, India, and China.
We are a hub of technical excellence, where motivated, diverse, and talented engineers collaborate to solve complex problems at scale.
Rakuten’s expansive global ecosystem.