Job ID: MJ000219
作为 Traveloka 搜索与推荐团队的后端开发工程师，您将负责构建和优化连接数百万用户与全球旅游资源（酒店、机票、景点门票等）的核心引擎。搜索是 OTA 平台的流量入口与转化核心，您的任务是打造一个低延迟、高相关性、具备强大过滤与排序能力的分布式搜索架构，用技术提升用户的“寻宝”体验，直接赋能业务转化。
岗位职责
- 搜索架构设计与升级：设计、开发和维护高可用、可扩展的分布式搜索与推荐后端系统，涵盖数据同步（Data Ingestion Pipeline）、全量/增量索引构建、查询解析（Query Parsing）及结果召回（Retrieval）。
- 性能与低延迟优化：针对海量旅游商品数据及复杂的筛选条件（位置、价格、实时库存等），持续优化底层查询性能，在高并发场景下将搜索响应时间（Latency）控制在毫秒级。
- 算法工程化落地：与算法工程师密切配合，负责文本分词、意图识别、重排序（Reranking）、个性化推荐及向量检索（Vector Search/Milvus等）等策略的高效工程化落地。
- 引擎运维与调优：深度参与 Elasticsearch / Opensearch / Solr 等主流搜索集群的性能调优、分片策略设计、Mapping 优化，并建立完善的搜索质量监控与指标评估体系。
- 跨国团队协作：与来自新加坡、雅加达等地的国际化产品及技术团队紧密配合，支持不同国家和语言（多语言搜索/本地化）的业务需求，提供可持续的搜索技术方案。
任职要求
- 基本学历：计算机科学或相关专业的学士学位及以上学历。
- 英语能力：具备优秀的英语沟通能力，能够流利地进行口语和书面表达，与不同地区的海外团队高效协作。
- 软件开发经验：8 年以上软件开发经验，2 年以上大规模分布式系统架构设计经验。
- 搜索领域背景：精通 Elasticsearch、Opensearch、Solr 或 Lucene，对其底层原理、索引机制、倒排索引及集群调优有深入理解。
- 技术栈要求：精通 Java 及 Spring Boot 生态（或其它 JVM 体系），具备优秀的算法与数据结构基础，熟悉常用的设计模式。
- 数据与中间件：熟练掌握 PostgreSQL/MySQL，具备大数据集成经验（如使用 Kafka、Canal 或 Flink 进行异构数据实时同步到搜索引擎）。
- 加分项：
- 具有大规模、高并发电商/OTA 搜索、推荐、广告系统建设经验者优先。
- 熟悉向量数据库（如 Milvus, Pinecone）或结合大模型的语义搜索（Graph/Semantic Search）经验者优先。
- 具有 AWS 云服务、Docker/K8s 容器化经验者优先。
Responsibilities
- Design & Evolve Search Infrastructure: Architect, develop, and maintain robust backend services for search and recommendation pipelines, covering data ingestion, real-time indexing, query parsing, and multi-channel retrieval.
- Performance & Latency Optimization: Continually optimize query performance against massive datasets with complex real-time filters (pricing, dynamic inventory, geo-spatial data) to keep search latency in milliseconds during peak traffic.
- Algorithm Engineering (Productionization): Partner closely with AI/Algorithm Scientists to productionize advanced features including NLP/tokenization, intent recognition, re-ranking, personalized recommendation, and vector search.
- Search Engine Tuning: Drive the performance tuning, sharding strategies, and schema mappings of Elasticsearch / Opensearch clusters, while building comprehensive monitoring for search quality metrics.
- Cross-Regional Collaboration: Coordinate with regional product and engineering teams across Singapore and Jakarta to support localization and multi-language search capabilities unique to Southeast Asian markets.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Professional English Proficiency: Excellent verbal and written communication skills to collaborate seamlessly within a multi-cultural, distributed engineering team.
- Minimum 8 years of backend development experience, with a solid grasp of data structures, algorithms, and distributed system design.
- Deep Search Expertise: Proven production experience with Elasticsearch, Opensearch, Solr, or Lucene, with a deep understanding of inverted indexes, cluster tuning, and custom plugins.
- Core Tech Stack: Strong proficiency in Java, Spring Boot, or JVM-centric stacks. Experience with relational databases (PostgreSQL/MySQL) and stream processing tools (Kafka, Flink) for building real-time sync pipelines.
- Great to Have:
- Direct experience in large-scale E-commerce/OTA Search, Recommendation, or Ad-Tech systems.
- Familiarity with vector databases (Milvus, Pinecone) or LLM-driven semantic search.
- Background in cloud infrastructure (AWS) and containerization (Docker/Kubernetes).