Senior Software Engineer - Vector Search - Elasticsearch

Elastic
Spain
Full timeEUR 67,000 - 106,000Function: Software EngineeringSkills: ["Autonomy","Collaboration","Code review","Problem-solving","Communication"]

Join the Elasticsearch Search Relevance team to lead initiatives that improve search speed and relevance. You’ll design and implement new search features, enhance vector search capabilities, and resolve complex bugs in Lucene and Elasticsearch. Work closely with a globally distributed group of engineers and community contributors, contribute to technical direction, and write idiomatic modern Java for a large-scale search platform.

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FursaFursa
Elastic
Elastic
22 hours ago

Senior Software Engineer - Vector Search - Elasticsearch

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Join the Elasticsearch Search Relevance team to lead initiatives that improve search speed and relevance. You’ll design and implement new search features, enhance vector search capabilities, and resolve complex bugs in Lucene and Elasticsearch. Work closely with a globally distributed group of engineers and community contributors, contribute to technical direction, and write idiomatic modern Java for a large-scale search platform.
Location: Spain
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead initiatives within Elasticsearch to deliver an industry-leading search engine focused on speed and relevance.
  • •Build new search features and fix complex bugs while making the code easier to understand.
  • •Collaborate with a globally distributed team to advance Elasticsearch vector search capabilities.
  • •Drive improvements in search relevance by identifying issues and implementing solutions based on technical judgment.
  • •Engage with community members on issues and pull requests, handling work directly or triaging to other experts as needed.

Pay and Benefits

Salary: EUR 67,000 - 106,000
Perks:Health InsurancePaid LeaveParental Leave

Key Requirements

  • •Implemented novel techniques in vector similarity for a large-scale search platform or progressed the field of academic research in vector similarity information retrieval.
  • •Professional experience with search or vector databases, using algorithms such as HNSW or IVF on search platforms at scale.
  • •Solid core Java skills, including understanding of data structures and concurrency constructs.
  • •Expertise in Elasticsearch search relevance with the ability to identify and drive improvements.
  • •Experience using AI to accelerate development, debug complex systems, and optimize code while owning outcomes.
Experience:Vector searchSearch relevanceAILarge-scale platformsOpen source
Skills:AutonomyCollaborationCode reviewProblem-solvingCommunication
Languages:English
Tech Stack:ElasticsearchLuceneJavaHNSWIVFSolrPostgreSQLMongoDBCassandra

Company Brief

Elastic
Builds the Elastic Stack (Elasticsearch, Kibana, Beats, Logstash) and provides search, observability, and security solutions that enable organizations to search, analyze, and protect data in real time across applications, infrastructure, and enterprises.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Amsterdam, Netherlands
Founded: 2012
WebsiteLinkedIn