Senior Search Engineer - Search and Browse Core (All genders)

Zalando SE
Berlin, Germany
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Berlin, Germany

Tech stack

Java
Artificial Intelligence
Apache Lucene
Distributed Systems
Elasticsearch
Java Virtual Machine (JVM)
Performance Tuning
Solr
Systems Integration
Concurrency
Backend
Kotlin
Build Management
Apache Flink
Real Time Data
Kafka
Search Engines
Stream Processing
Data Pipelines

Job description

As a Senior Search Engineer, you will be at the heart of our mission, tackling complex distributed systems problems at hyperscale. You will:

  • Architect the Future of Search: Lead the design and implementation of our next-generation, AI-driven search engine, integrating Neural Search on top of our Elasticsearch platform.
  • Build for Hyperscale: Modernize and scale our real-time data ingestion systems using technologies like Kafka and Flink to handle millions of updates.
  • Drive Platform Innovation: Develop core platform capabilities that enable teams across Zalando to build rich, personalized discovery experiences for our customers.
  • Drive Operational Excellence and Cost Efficiency: Lead platform-wide infrastructure projects, such as consolidating multi-lingual search indices, mitigating critical risks by migrating core services, and supporting system readiness for high-traffic events like Cyber Week.

Requirements

Do you have experience in Solr?, * Deep Search Expertise: Extensive experience building large-scale, preferably e-commerce, search engines. While our stack is built on Elasticsearch, we highly value equivalent expertise in Lucene, OpenSearch, Solr, or other distributed search systems.

  • Real-Time Data Pipeline Experience: Proven ability to design and build high-throughput data ingestion pipelines using Kafka and/or Flink or equivalent stream-processing frameworks.
  • Strong Backend Foundation: High proficiency in a JVM language (Java, Kotlin, or Scala) and a deep understanding of distributed systems architecture, concurrency, and performance optimization.
  • Cross-Functional Collaboration: Excellent communication skills. You thrive when working closely with fellow engineers, applied scientists, and product partners, and you possess a knack for translating complex product requirements into reusable, reliable platform capabilities.

Benefits & conditions

Join the Search Retrieval Team, the engine driving product and content discovery for Zalando. We build and operate the core search engine that connects over 62 million active customers across 29 markets with the products and content they love. Our Search Engine powers tens of millions of searchable content stored in multiple clusters and hundreds of indices distributed. Every content has ~4-10 embeddings that power our semantic understanding. We also integrate with LLMs models to power our query understanding and lexical search. Our mission is to deliver a world-class, intelligent, scalable, and reliable Search Platform., Zalando provides a range of benefits, here's an overview of what you can expect. Ask your Talent Acquisition Partner to learn more about what we offer.

  • Employee shares program
  • 40% off fashion and beauty products sold and shipped by Zalando, 30% off Zalando Lounge, discounts from external partners
  • 2 paid volunteering days a year
  • Hybrid working model with 60% (or more) remote per week, actual practice is up to each team to best support their collaboration
  • Work from abroad for up to 30 working days a year
  • 27 days of vacation a year (for Zalando SE)
  • Relocation assistance available (subject to prior agreement)
  • Family services, including counseling and support
  • Health and wellbeing options (including Gympass)
  • Mental health support and coaching available

Recruiter

Shilpa Mishra

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