Zalando

4 weeks ago

Senior Search Engineer - Search and Browse Core

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Lead development of an AI-driven, scalable search engine for an e-commerce platform. Architect and implement real-time data ingestion and neural search on top of Elasticsearch, while optimizing performance and ensuring readiness for peak traffic events. Collaborate across engineers and product partners to deliver rich, personalized discovery experiences.

Location: Anywhere

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Architect the next-generation, AI-driven search engine, integrating neural search on top of the Elasticsearch platform
•Build for hyperscale by modernizing real-time data ingestion systems using Kafka and Flink to handle millions of updates
•Develop core platform capabilities enabling teams to build rich, personalized discovery experiences
•Lead platform-wide infrastructure projects, including multilingual search index consolidation and migration of core services
•Ensure system readiness and reliability for high-traffic events like Cyber Week

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityPaid LeaveRemote WorkRelocationGym Membership

Key Requirements

•Extensive experience building large-scale search engines, preferably in e-commerce; strong background with Elasticsearch (or Lucene/OpenSearch/Solr)
•Real-time data pipelines experience using Kafka and/or Flink or similar stream-processing frameworks
•Proficiency in a JVM language (Java, Kotlin, or Scala) and deep understanding of distributed systems, concurrency, and performance optimization
•Strong collaboration and communication skills to translate complex product requirements into reusable platform capabilities
•Experience with designing AI-assisted features and integrating neural search on top of existing search infrastructure

Experience:E-commerceSaaSOpen source

Skills:ElasticsearchLuceneOpenSearchSolrKafkaFlinkJavaKotlinScalaJVMDistributed systemsConcurrencyPerformance optimizationNeural searchLLMs

Languages:English

Tech Stack:ElasticsearchLuceneOpenSearchSolrKafkaFlinkJavaKotlinScalaJVMDistributed systemsNeural searchLLMs

Company Brief

Zalando

Zalando operates a leading European online marketplace for fashion and lifestyle products, offering clothing, shoes and accessories from international brands and local labels, plus logistics and marketing services to partner brands and retailers.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Berlin, Germany

Founded: 2008

Website LinkedIn

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Zalando

4 weeks ago

Senior Search Engineer - Search and Browse Core

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

Location: Anywhere

Workplace: Hybrid

Employment Type: Full time

Job Function: Administration & Executive Assistance

Key Responsibilities

•Architect the next-generation, AI-driven search engine, integrating neural search on top of the Elasticsearch platform
•Build for hyperscale by modernizing real-time data ingestion systems using Kafka and Flink to handle millions of updates
•Develop core platform capabilities enabling teams to build rich, personalized discovery experiences
•Lead platform-wide infrastructure projects, including multilingual search index consolidation and migration of core services
•Ensure system readiness and reliability for high-traffic events like Cyber Week

Pay and Benefits

Equity and Bonus:Equity

Perks:EquityPaid LeaveRemote WorkRelocationGym Membership

Key Requirements

•Extensive experience building large-scale search engines, preferably in e-commerce; strong background with Elasticsearch (or Lucene/OpenSearch/Solr)
•Real-time data pipelines experience using Kafka and/or Flink or similar stream-processing frameworks
•Proficiency in a JVM language (Java, Kotlin, or Scala) and deep understanding of distributed systems, concurrency, and performance optimization
•Strong collaboration and communication skills to translate complex product requirements into reusable platform capabilities
•Experience with designing AI-assisted features and integrating neural search on top of existing search infrastructure

Experience:E-commerceSaaSOpen source

Skills:ElasticsearchLuceneOpenSearchSolrKafkaFlinkJavaKotlinScalaJVMDistributed systemsConcurrencyPerformance optimizationNeural searchLLMs

Languages:English

Tech Stack:ElasticsearchLuceneOpenSearchSolrKafkaFlinkJavaKotlinScalaJVMDistributed systemsNeural searchLLMs

Company Brief

Zalando

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Berlin, Germany

Founded: 2008

Website LinkedIn