楽天グループ株式会社：1027138　Senior Software Engineer Lead, Catalog Management Section – Data Knowledge Department (DKD)

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

1027138　Senior Software Engineer Lead, Catalog Management Section - Data Knowledge Department (DKD)

仕事内容

Position Details 
As the Senior Software Engineer Lead for the Global Catalog Platform, you will play a critical role in designing, developing, and maintaining a high-performance, scalable platform that powers Rakuten's core services. In this leadership position, you will guide a team of talented engineers, collaborate with cross-functional teams, and ensure that the platform meets the highest standards of reliability, performance, and scalability. You will be instrumental in addressing complex challenges, driving continuous improvements, and shaping the long-term success of the platform. 
This role is ideal for an individual with a deep technical background, a passion for solving complex engineering problems, and a drive to work in a fast-paced, dynamic environment. 
 
Responsibilities 
- Partner with engineering teams to define, establish, and drive the technical vision, ensuring that all team initiatives align with broader organizational and business goals. 
- Collaborate closely with teams in multiple regions - Japan, China and India: work with a peer Engineering Manager to define joint goals execution plan. 
- Lead by example in architecture, design, development, code reviews, and quality assurance, ensuring technical excellence across the board. 
- Design and build scalable full-stack solutions that solve user scenarios across different partners and service topologies.  
- Interact with stakeholders as well as teams to understand the business needs and problems, help and aid them in implementation of Catalog solutions with generative AI. 
- Provide technical guidance to other engineers and act as mentor.  
- Take initiative to identify and fix bottlenecks.  
- Set a high quality bar, ensuring quality design reviews and robust engineering practices for automated testing, code coverage and operational excellence. 
 
Tech Stack
- Programming languages: Java, TypeScript, Python, Shell Script.
- Platform: Hadoop, Azure, Google Cloud and internal private cloud in some cases. 
- Databases: BigQuery, BigTable,HBase,MySQL, Hive.
- Web Applications: Node.js, Spring Boot.  
- Monitoring: Cloud Monitoring.  
- Others: Cloud Dataflow (ETL), Docker (Container Technology), Github ations(CI/CD), Kubernetes & Cloud Run (Deployment Environment). 

求める経験・スキル

Mandatory Qualifications: 
- 7+ years of experience in software development, with a strong foundation in full-stack engineering and building scalable, high-performance systems. 
- Expertise in cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure, and hands-on experience with multi-cloud environments. 
- Extensive experience in data engineering, including large-scale data processing, data pipeline design, and serverless batch processing. 
- Proven track record of end-to-end product development, from system design and implementation to testing, deployment, and production support. 
- Demonstrated ability to lead and mentor engineering teams, drive technical decision-making, and encourage collaboration across cross-functional teams. 
- Expertise in providing technical guidance, conducting code reviews, and establishing best practices to ensure high-quality deliverables. 
- Strong experience with CI/CD pipelines, automated testing, and a commitment to maintaining high software quality standards. 
- Ability to support production systems, including incident management and root cause analysis for issue resolution. 
- Excellent communication skills, with the ability to effectively collaborate with cross-functional teams and business stakeholders. 

Desired Qualifications: 
- Experience with Generative AI, including model deployment, fine-tuning, and integration into production systems. 
- Hands-on experience applying AI/ML technologies to enhance data quality and enrich data solutions. 
- Strong adaptability and a commitment to continuous learning, staying current with the tech stack in cloud technologies, AI, and data engineering. 
- Ability to lead development with a business-driven mindset, balancing technical needs, schedule requirements, and business objectives.