DevOps Engineer, Data Platform - Metrics, Data and Insights Department (MDID)

Job Description:

Business Overview

Rakuten Group, Inc. is the largest e-Commerce company in Japan, and provides a variety of services in e-commerce, fintech, digital content and communications to many users all over the world.

Department Overview

The Rakuten AI & Data Division (AIDD), creates powerful, customer-focused search, recommendation, data science, advertising, marketing, price, and inventory optimization solutions to a variety of businesses in commerce, fintech and mobile industries. 

Position:

Why We Hire

Be it providing personalized superior user experience to our customers or making informed business decisions, data plays a vital role underlying all AI-driven initiatives. We are looking for a data infrastructure DevOps engineer to work on our core data platform operations. The role will build and maintain the reliable, scalable infrastructure powering our data systems, ensuring high availability and performance for ML-powered product development.

Position Details
- Build and maintain cloud infrastructure for large-scale data platforms and analytics workloads.
- Design and implement CI/CD pipelines for data applications and infrastructure deployment.
- Automate infrastructure provisioning and configuration management using Infrastructure as Code.
- Monitor, troubleshoot, and optimize performance of data systems and distributed infrastructure.
- Implement security best practices and compliance requirements for data infrastructure.
- Collaborate with data engineers to ensure reliable deployment and operation of data pipelines.
- Manage containerized data applications using Kubernetes and container orchestration.

Mandatory Qualifications:
- BS, MS, or Ph.D. in Computer Science, Engineering, a related technical field, or equivalent experience.
- Extensive experience in cloud platforms (GCP, AWS) and infrastructure automation.
- Strong programming skills in scripting languages: Python, Bash, Go, or similar.
- Experience with Infrastructure as Code tools (Terraform, CloudFormation, Ansible, etc.).
- Extensive experience with containerization and orchestration technologies (Docker, Kubernetes).
- Experience with CI/CD tools and practices (Jenkins, GitLab CI, GitHub Actions, etc.).
- Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK stack, etc.).
- Experience with Big Data infrastructure technologies (Hadoop clusters, Spark on Kubernetes, Kafka operations, etc.).
- Understanding of network security, IAM, and data governance in cloud environments.
- Strong execution skills and have a problem-solving mindset.
 

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