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検索基盤エンジニアの求人13件応募資格・募集要項・仕事内容を見る
Senior Search Platform Infrastructure Engineer
- 給与
- 記載なし
- 勤務地
- 記載なし
- 休日
- 記載なし
- 雇用形態
- 正社員
どんな仕事かAIによる生成
Own and operate Mercari's managed search platform, including large-scale Elasticsearch clusters and supporting systems that power marketplace product search. The role covers cluster lifecycle, on-call incident response, performance and reliability initiatives, and collaboration with product and platform infrastructure teams.
この求人に応募
応募資格
必須
- Shared belief in Mercari's mission and values.
- Senior-level engineering experience operating distributed systems in production at scale.
- Strong system-design and distributed-systems fundamentals: consistency, replication, capacity planning, failure modes.
- Production ownership of Elasticsearch (or a comparable Lucene-based search engine) - cluster sizing, JVM / heap tuning, query-performance debugging, shard strategy.
- Track record of owning a technical domain end-to-end: design, build, on-call, incident follow-through, long-term roadmap. Proficiency in Go and/or Java.
- English: Business level (CEFR – B2)
歓迎
- Lucene internals or JVM performance-engineering depth.
- Vector search knowledge.
- Production experience operating Kubernetes (GKE, EKS, or AKS) - cluster upgrades, incident debugging.
- Terraform at scale (custom modules, large-blast-radius migrations).
- CI/CD platform experience (GitHub Actions, Jenkins, or similar).
- Search / data services for C2C or e-commerce at scale.
応募について
- Japanese: Not required
募集要項最終確認 11/13
- 職種
- 検索基盤エンジニア
- 雇用形態
- Employment Status: Full-time
- 給与
- 記載なし
- 勤務地
- Roppongi
- 働き方
- 記載なし
- 勤務時間
- Work Hours: Full Flextime (no core time)
- 選考の流れ
- Recruiting cycle at Mercari Group* Application screening * Skill assessment: For engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub. For non-engineering positions, you may be asked to complete an assessment depending on the position. (The timing of the assessment may coincide with the interview process.) * Interview: The number of interviews may vary depending on the position. * Reference check: We will ask for online references around the timing of the final interview. * Offer: Offers will be determined carefully in consideration of the final interview and the reference check.
- 掲載日
- 2026/07/02 14:34（134日前）
- 最終確認
- 2026/11/13 01:02（今日）
仕事内容
Organization/Team Mission
- The Autonomous Cloud group in the Platform Division builds and operates the foundational infrastructure that lets every engineering team at Mercari ship products safely and quickly - covering the Kubernetes platform, search infrastructure, observability, networking, and FinOps. Our charter is to make complex infrastructure simple to consume, so product teams can spend their time on customer value rather than on running systems.
- The Search Infrastructure team - part of the Autonomous Cloud division - runs Mercari's search platform as a managed service for engineering teams across the company. We operate large-scale, product-critical Elasticsearch clusters and supporting systems (Redis, vector databases) that power product search across Mercari's marketplace. Our job is to abstract away the operational complexity of search so product teams can focus on building features. We are a small, deep team that combines hands-on operation of search clusters with in-house expertise on search-engine technology - partnering closely with internal Search and product teams.
Work Responsibilities
- Co-own the Elasticsearch cluster lifecycle: provisioning, sizing, upgrades, shard / replica strategy, and index management for product-critical search workloads.
- Join the search infrastructure on-call rotation after ramp-up; lead incident response, root-cause analysis, and follow-through improvements.
- Drive performance and reliability initiatives across the cluster, JVM, and query layers. Improve the search APIs and aggregation services consumed by product teams.
- As bandwidth allows, collaborate with the Platform Infrastructure team on high-impact Kubernetes and Terraform changes as a senior reviewer and engineer; mentor engineers across both teams.
Unique Challenges
- Operating a search platform that serves product-critical workloads at very large scale (hundreds of millions of indexed items at sustained high query volume) with demanding availability and latency expectations.
- Owning the full search infrastructure stack end-to-end - from cluster operations and JVM tuning down to query-path performance - across a small, deep team where each engineer has real platform-level ownership.
- Balancing day-to-day reliability of running clusters with longer-horizon investments: version upgrades, automation, and evaluating next-generation search and vector technologies.
- Sitting at the boundary between infrastructure and product - translating between platform-level concerns (capacity, reliability, cost) and product-team needs (indexing patterns, query behavior, search experience).
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この求人と近い条件で探す数字はリンク先ページの掲載件数
応募資格の語から探す
- テック16,206
- 分散システム196
- システム設計2,720
- システム運用3,673
- Elasticsearch339
- パフォーマンスチューニング966
- Go1,461
- Java3,534
- 英語18,390
- Kubernetes1,177
- Google Kubernetes Engine194
- Amazon EKS217
- Azure Kubernetes Service64
- トラブルシューティング1,092
- Terraform1,700
- CI/CD1,758
- GitHub Actions1,196
- Jenkins535
この職種で探す
- 検索基盤エンジニア13
- テック16,206
- セキュリティエンジニア1,174
- インフラエンジニア1,065
- クラウドエンジニア669