Cloud Engineer - Recommendation Department, AI & Data Division job opportunity at Rakuten International.

Home Jobs In Japan Tag: AI & Data Division Cloud Engineer - Recommendation Department, AI & Data Division position at Rakuten International


DateMore Than 30 Days Ago bot
Rakuten International Cloud Engineer - Recommendation Department, AI & Data Division
Experience: 3-years
Pattern: full-time
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AI & Data Division

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degreeBachelor's (B.A.)
loacation Tokyo, Japan, Japan
loacation Tokyo, Japan....Japan

Job Description: Department Overview Rakuten is seeking a skilled and experienced Cloud Engineer to join our dynamic Recommendations and Personalization team in Tokyo. You will be an integral part of an international team leveraging cutting-edge AI and machine learning to deliver personalized experiences across all Rakuten services. This role offers the exciting opportunity to collaborate closely with engineers and data scientists, with a primary focus on the development and optimization of our core web applications, ensuring the highest quality and performance of our cloud-native platforms. Position: Position Details As a Cloud Engineer, your main responsibility will be to contribute directly to the backend development of our web applications. You will also play a crucial role in ensuring these applications are effectively deployed, optimized, and maintained within Google Cloud Platform (GCP), applying DevOps best practices to streamline our processes, enhance system reliability, and scale our services to meet global demand. Key Responsibilities - Lead and contribute significantly to the design, development, and optimization of core backend web application services, primarily in Python. - Architect, implement, and maintain scalable, highly available, and fault-tolerant cloud infrastructure on Google Cloud Platform (GCP) to support our applications. - Apply DevOps principles to automate application deployment (CI/CD) and manage infrastructure on GCP. - Deploy and optimize web applications within the GCP ecosystem. - Implement and manage robust monitoring, logging, and alerting solutions to ensure application health and performance. - Troubleshoot and resolve complex application and infrastructure issues in a production environment. - Identify and advocate for new cloud technologies and best practices to continually improve our platform's efficiency, cost-effectiveness, and reliability. Mandatory Qualifications: - Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related technical field. - Proven experience contributing to the development of backend web applications, preferably with Python. - 3+ years of hands-on experience with Google Cloud Platform (GCP), including familiarity with services like Compute Engine, GKE (Google Kubernetes Engine), Cloud Storage, Cloud SQL, Cloud Pub/Sub, Cloud Functions, etc. - Knowledge and experience with DevOps methodologies and tools for web applications, including CI/CD pipelines (e.g., Jenkins, GitLab CI/CD, Cloud Build), and infrastructure as code (e.g., Terraform). - Experience with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes). - Solid understanding of Linux operating systems and shell scripting. - Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Stackdriver/Cloud Monitoring, ELK stack). - Familiarity with distributed systems, microservices architecture, and high-availability design patterns. - Strong grasp of good development practices: code reviews, unit testing, continuous integration/delivery. - 5+ years of overall experience in building and delivering production-grade services. - Business-level communication skills in English. Desired Qualifications: - GCP Professional Cloud Engineer certification. - Familiarity with NoSQL databases (e.g., Couchbase, Cassandra, Redis). - Contributions to open-source projects. - A strong interest in data analytics, machine learning, and personalization systems. #engineer #infrastructureengineer # aianddatadiv #Python

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