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

Lead initiatives within Elasticsearch to deliver an industry-leading search engine focused on speed and relevance. Build new search features, fix bugs, and improve code quality while contributing to technical direction and vision for search capabilities and Lucene. Collaborate with a globally distributed team on vector search, advise on search relevance improvements, and work with the open-source community through issues and pull requests. Write idiomatic modern Java at scale.

Location: United Kingdom

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead Elasticsearch initiatives to deliver a search engine with speed and relevance.
•Contribute full-time by building new search features, fixing bugs, and making code easier to understand, including inventing or implementing algorithms/data structures.
•Collaborate with a globally distributed team focused on vector search capabilities in Elasticsearch.
•Drive improvements in Elasticsearch search relevance based on questions and instincts.
•Work with community members on issues and pull requests, triaging and handing off when needed or handling them directly.

Pay and Benefits

Perks:Health InsuranceParental LeavePaid LeaveVolunteer Leave

Key Requirements

•Professional experience with search and vector databases; used HNSW, IVF, or similar algorithms and libraries on search platforms at scale.
•Solid core Java skills, including standard library data structures and concurrency constructs (e.g., lambdas).
•Demonstrated ability to work autonomously, take on projects, and guide them from beginning to end across technical design and implementation.
•Comfort collaborating and iterating with others via feedback on code, approaches, and APIs (including asynchronous collaboration).
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, with some understanding of how and why they work.

Experience:SearchVector databasesAIOpen source

Skills:AutonomyCollaborationCode reviewProblem-solvingOwnership

Languages:English

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFGitHubZoomSlackSolrPostgreSQLMongoDBCassandraData structuresConcurrencyLambdas

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: United Kingdom

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Lead Elasticsearch initiatives to deliver a search engine with speed and relevance.
•Contribute full-time by building new search features, fixing bugs, and making code easier to understand, including inventing or implementing algorithms/data structures.
•Collaborate with a globally distributed team focused on vector search capabilities in Elasticsearch.
•Drive improvements in Elasticsearch search relevance based on questions and instincts.
•Work with community members on issues and pull requests, triaging and handing off when needed or handling them directly.

Pay and Benefits

Perks:Health InsuranceParental LeavePaid LeaveVolunteer Leave

Key Requirements

•Professional experience with search and vector databases; used HNSW, IVF, or similar algorithms and libraries on search platforms at scale.
•Solid core Java skills, including standard library data structures and concurrency constructs (e.g., lambdas).
•Demonstrated ability to work autonomously, take on projects, and guide them from beginning to end across technical design and implementation.
•Comfort collaborating and iterating with others via feedback on code, approaches, and APIs (including asynchronous collaboration).
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, with some understanding of how and why they work.

Experience:SearchVector databasesAIOpen source

Skills:AutonomyCollaborationCode reviewProblem-solvingOwnership

Languages:English

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFGitHubZoomSlackSolrPostgreSQLMongoDBCassandraData structuresConcurrencyLambdas

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