Job Description
Department Overview
Rakuten provides a variety of services in e-commerce, fintech, digital content, and communications to users worldwide. Our AI for Business Department operates as a center of excellence, focusing on developing and deploying innovative solutions that combine frontier technologies to enhance our products and services across business units.

We are a diverse team of engineers who are passionate about applying their skills to make a significant difference and potentially change society for the better through AI.

Within AI4B, our AI Engineering Section serves as the foundation that powers innovation, with the mission to design, build, and scale the technical backbone of our products. Focused on backend systems, DevOps practices, and cloud infrastructure, we ensure reliability, performance, and adaptability - enabling teams to move fast while maintaining operational excellence. Are you passionate about building scalable, secure cloud infrastructure that powers cutting-edge AI applications? Join us as a Cloud Infrastructure Engineer and help architect the foundation for innovative AI solutions that serve across our ecosystem.

Position
Position Details
As a Cloud Infrastructure Engineer, you will architect and manage scalable cloud solutions across public cloud platforms, leveraging both internal and external AI technologies, design resilient infrastructure for AI workloads and services, and implement comprehensive security, monitoring, and cost optimization strategies. You'll work with cutting-edge technologies like Kubernetes, Terraform, and specialized AI services while ensuring high availability and performance across multiple cloud environments.

Your work will involve designing Infrastructure-as-Code solutions that support rapid deployment and scaling, implementing robust disaster recovery and business continuity strategies, and building specialized infrastructure for APIs and databases focused on delivering AI solutions.

This role requires 5+ years of cloud infrastructure experience with strong expertise in Azure services, Terraform, and containerization technologies. You'll collaborate in an international environment requiring strong English communication skills, while having the opportunity to work with multi-cloud architectures, AI infrastructure specialization, and emerging technologies like GenAI. The position offers unique exposure to cloud systems that power intelligent applications used by millions of users worldwide.

Key Job Responsibilities

• Design and implement scalable, secure cloud architectures across Azure and GCP platforms for AI workloads and APIs
• Develop and maintain comprehensive Infrastructure-as-Code solutions using Terraform and cloud-native tools
• Implement cloud security best practices, cost optimization strategies, and automated scaling solutions
• Design specialized infrastructure for AI workloads including APIs, AI Agents, model serving, and vector databases
• Partner with cross-functional teams to translate business requirements into robust, production-ready cloud solutions
• Lead the integration of AI solutions and automation in your areas of expertise

Mandatory Qualifications

• Bachelor's degree or above in Computer Science, Computer Engineering, or related technical discipline
• 5+ years of experience in cloud infrastructure engineering, solution architecture, or platform engineering roles
• Strong experience with Azure services and extensive hands-on experience with Infrastructure-as-Code using Terraform
• Strong English communication skills and ability to work effectively in international, cross-functional teams

Desired Qualifications

• Proven experience designing and delivering production-grade cloud architectures, including compute, networking, observability, security, and modern architectural patterns
• Strong expertise in containerization and orchestration (Docker, Kubernetes) with solid cloud security knowledge, including IAM, encryption, and compliance frameworks
• Hands-on experience with infrastructure-as-code (Terraform, CloudFormation, or Pulumi), monitoring and alerting solutions (Azure Monitor, Prometheus, Grafana), and cloud cost optimization (FinOps)
• Proficiency in Python scripting, DevSecOps practices, and familiarity with emerging technologies such as Generative AI, AI-driven infrastructure automation, and multi-cloud/edge environments

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Languages
English (総合 - 3 - 上級)