Database Reliability Engineer (DBRE) - Mercari - Mercari, inc.

業務内容

• Operate production databases (TiDB, MySQL, PostgreSQL, and managed cloud DBs) under a 99.99% availability SLA, including on-call rotation.
• Lead end-to-end epics from design through rollout, monitoring, and post-launch tuning.
• Design and execute migrations (engine changes, version upgrades, on-prem to cloud) with zero or minimal downtime.
• Build and operate CDC and streaming pipelines (Debezium, TiCDC, Kafka) feeding analytics and downstream services.
• Write Infrastructure-as-Code (Terraform, Ansible) and automation in Go or Python to reduce toil and scale operations.
• Build/maintain database monitoring, alerting, and SLO/SLI dashboards (Datadog, Grafana).
• Diagnose/resolve production incidents; drive post-mortems and permanent fixes.
• Perform performance tuning (queries, schema, indexing, replication topology) and capacity planning.
• Partner with product/platform teams on schema changes and new database adoption.
• Contribute to expanding the team into multi-engine DBRE (AlloyDB, CloudSQL, Spanner) and operational models.

技術スタック

必須スキル

• Production DBA/DBRE experience with MySQL, TiDB, PostgreSQL, or equivalent RDBMS
• Experience operating databases at scale (>10K QPS or >1TB datasets) under production SLA
• Hands-on with cloud managed DB services (GCP/AWS): CloudSQL, AlloyDB, RDS/Aurora, etc.
• Infrastructure-as-Code (Terraform, Ansible) and scripting (Go, Python, or shell)
• Database monitoring/observability (Datadog, Grafana)
• Incident ownership, on-call rotations, and performance tuning
• Ability to lead epics end-to-end and willingness to learn new engines

歓迎スキル（該当する場合）

• Distributed DB internals (sharding, replication, consensus) or production TiDB/Spanner/Vitess/CockroachDB
• CDC/streaming pipelines (Debezium, TiCDC, Kafka Connect)
• Kubernetes operational experience
• Experience leading major database migrations (engine, version, data center)
• Cross-team coordination for schema changes and platform adoption

キャリア成長観点

• 多-engine DBREとしての成長機会（AlloyDB, Spanner など）と運用モデルの設計に関与。
• 高負荷・大規模データ環境での信頼性・コスト最適化・自動化推進を通じた技術的リーダーシップの強化。
• プロダクト・プラットフォームチームとの協働で、スキーマ変更や移行の推進力を養える。
• 日英バイリンガル環境でのコミュニケーション能力とグローバルな協業スキルの向上。