DevOps Engineer - Recommendation Department, AI & Data Division (AIDD)
Core
Operate and continuously improve a large-scale, high-availability recommendation platform powering personalized experiences across Rakuten's ecosystem.
Role type
Senior DevOps Engineer (AI & Data Division)
Builds
Scalable, fault-tolerant infrastructure on GCP and on-premise environments supporting real-time processing and worldwide deployment.
Domain
E-commerce / AI & Recommendation Systems
Deliverable
infrastructure
Required skills
Linux administration, shell scripting, infrastructure as code (Terraform, Ansible), CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), cloud platform management (GCP), monitoring and logging (Prometheus, Grafana, ELK), distributed systems architecture, networking fundamentals.
Preferred skills
Python, Scala, Java, Ruby, Spark, Kafka, Couchbase, Redis, GCP Professional Cloud Engineer certification, open-source contributions.
Technologies
Google Cloud Platform (GCP), Linux, Docker, Kubernetes, Terraform, Ansible, Jenkins, GitLab CI/CD, Prometheus, Grafana, ELK stack, Spark, Kafka, NoSQL.
Responsibilities
Administer and maintain large-scale recommendation platform; design and implement scalable infrastructure; automate packaging, deployment, and infrastructure management; implement monitoring, logging, and alerting solutions; investigate and resolve complex production issues; collaborate with software and data science teams; advocate for new technologies and best practices.
Seniority
Senior, hands-on IC