楽天グループ株式会社：1029352　Cloud Infrastructure Engineer – AI for Business Department (AI4B)

会社名

楽天グループ株式会社

会社概要

未来を信じ、より良い明日を創っていく。
イノベーションを通じて、人々と社会をエンパワーメントする。私たちは、そんな想いを大切に世界の人々に喜びと楽しさを届けます。
楽天は、E コマース、FinTech、デジタルコンテンツ、通信など、70 を超えるサービスを展開し、世界10 億以上のユーザーに利用されています。
これら様々なサービスを、楽天会員を中心としたメンバーシップを軸に有機的に結び付け、他にはない独自の「楽天エコシステム」を形成しています。ダイバーシティ推進は、楽天にとって最優先の企業戦略のひとつです。従業員の出身は70カ国・地域以上。世界中からユニークで多様な文化的背景や視点を持つ優秀な人材が集まり、イノベーションの原動力になっています。社内カフェテリアにはベジタリアン、ハラル対応のメニューを用意。礼拝所（Prayer room）もあります。
また、仕事と育児の両立支援や、障がい者雇用・活躍促進も積極的に推進。社内のLGBT（※1）当事者やアライ（※2）に対して、情報共有やサポート体制の強化も進めています。誰もが自分らしく力を最大限発揮して働ける。それが楽天のダイバーシティです。

70を超えるサービスを提供し、世界30カ国にサービス展開拠点を持ち、従業員の出身国・地域数は100を超え、オープンポジション制度を活用して多様なキャリアを描くことができる点も魅力です。
フレックスタイム制度、事情に応じたリモートワークの活用が可能です。本社には託児所やフィットネスジム、三食無料で利用可能なカフェテリアが併設されるなど、社員を支える環境が整備されています。

ポジション

1029352　Cloud Infrastructure Engineer - AI for Business Department (AI4B)

仕事内容

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 
 

求める経験・スキル

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