13 hours ago

Principal Software Engineer - Relevance in ES|QL - Elasticsearch

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Build and lead initiatives in Elasticsearch to deliver a fast, highly relevant search experience. Contribute full-time by implementing new search features, fixing bugs, and improving code clarity—sometimes inventing algorithms or data structures. Work with a globally distributed team focused on vector search, collaborate with the community on issues and pull requests, and use deep expertise in Elasticsearch relevance to drive continuous improvements in search quality.

Location: Spain

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead initiatives within Elasticsearch to deliver an industry-leading search engine with speed and relevance.
•Contribute full-time by building new search features and fixing bugs while making code easier to understand.
•Work with a globally distributed team focused on vector search capabilities in Elasticsearch.
•Drive improvements to Elasticsearch search relevance based on investigation, questions, and instincts.
•Collaborate with community members worldwide on issues and pull requests, including triaging or handling items directly.

Pay and Benefits

Salary: EUR 80,400 - 127,200 annually

Perks:Health InsurancePaid LeaveParental LeaveVolunteer Time

Key Requirements

•Professional experience with search and vector databases, including using HNSW, IVF, or similar algorithms and libraries at scale.
•Strong core Java skills, including data structures, concurrency constructs, and features like lambdas.
•Ability to work autonomously and guide projects end-to-end, covering technical design and building components with other engineers.
•Comfort collaborating and giving/receiving feedback on code, approaches, and APIs, including asynchronous collaboration.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and understanding why they work.

Experience:SearchVector databasesDistributed teamsAI

Skills:AutonomyCollaborationCode reviewAsynchronous communicationProblem-solving

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFVector searchData structuresConcurrencyLambdasGitHubZoomSlackSolrPostgreSQLMongoDBCassandra

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

Website LinkedIn

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Elastic

13 hours ago

Principal Software Engineer - Relevance in ES|QL - Elasticsearch

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Spain

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead initiatives within Elasticsearch to deliver an industry-leading search engine with speed and relevance.
•Contribute full-time by building new search features and fixing bugs while making code easier to understand.
•Work with a globally distributed team focused on vector search capabilities in Elasticsearch.
•Drive improvements to Elasticsearch search relevance based on investigation, questions, and instincts.
•Collaborate with community members worldwide on issues and pull requests, including triaging or handling items directly.

Pay and Benefits

Salary: EUR 80,400 - 127,200 annually

Perks:Health InsurancePaid LeaveParental LeaveVolunteer Time

Key Requirements

•Professional experience with search and vector databases, including using HNSW, IVF, or similar algorithms and libraries at scale.
•Strong core Java skills, including data structures, concurrency constructs, and features like lambdas.
•Ability to work autonomously and guide projects end-to-end, covering technical design and building components with other engineers.
•Comfort collaborating and giving/receiving feedback on code, approaches, and APIs, including asynchronous collaboration.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and understanding why they work.

Experience:SearchVector databasesDistributed teamsAI

Skills:AutonomyCollaborationCode reviewAsynchronous communicationProblem-solving

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFVector searchData structuresConcurrencyLambdasGitHubZoomSlackSolrPostgreSQLMongoDBCassandra

Company Brief

Elastic

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

Website LinkedIn