English summary for screening — check the original posting before applying.
Design, build, and improve the data platform for the bq business, focusing on AI-era data infrastructure. This role is crucial for collecting, processing, and organizing data (usage logs, AI outputs, evaluation data) to support product improvement and AI/LLM-driven features.
Must-haves
- Practical experience in web services, infrastructure, SRE, DevOps, or backend development.
- Understanding of SQL or Python.
- Interest in data collection, processing, and utilization.
Nice-to-haves
- Development/operation experience using BigQuery.
- Data pipeline construction experience with Airflow, dbt, etc.
- Data modeling experience.
- Infrastructure construction/operation experience on GCP / AWS.
- IaC experience using Terraform.
- Knowledge/experience with CI/CD, containers, Linux, shell.
- SLI/SLO design, monitoring, observability improvement experience.
- MLOps / LLMOps knowledge/experience.
- Version control experience using Git.
Tech stack
PythonSQLBigQueryGoogle CloudCloud RunCloud SQLTerraformDockerAirflowdbtFastAPIReactTypeScriptRAGLangfuse
Work style
Onsite in Osaka, Japan. Flexible working hours with core time from 12:00 to 17:00.
Other notes
Annual salary range: 5,000,000 JPY to 9,000,000 JPY. Monthly salary range: 364,000 JPY to 655,000 JPY. Overtime: average 13 hours/month. Probation period: 3 months (same conditions).