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

Join the Elasticsearch Search team as a technical leader focused on search relevance and vector search. You’ll lead initiatives to improve speed and relevance, build new search features, and fix complex bugs—sometimes inventing algorithms or structures. Work with a globally distributed engineering team, collaborate via code review and GitHub/Slack, and help triage community issues. Write idiomatic modern Java across Elasticsearch (99.8% Java).

Location: United States

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead initiatives within Elasticsearch to deliver a search engine focused on speed and relevance.
•Build new search features and fix bugs while making the code easier to understand, including developing new algorithms or data structures.
•Collaborate with a globally distributed team focused on Elasticsearch vector search capabilities.
•Drive improvements to Elasticsearch search relevance based on investigation and instincts.
•Work with community members on issues and pull requests, including triaging or handling items directly.

Pay and Benefits

Salary: USD 159,800 - 252,800 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityParental Leave

Key Requirements

•Professional experience with search and vector databases, using algorithms and libraries such as HNSW and IVF at scale.
•Solid core Java skills, including Java data structures/concurrency constructs and features like lambdas.
•Ability to work autonomously, take on projects, and guide them end to end across technical design and engineering.
•Comfort collaborating and iterating with others through code review and feedback on code, approaches, and APIs (including asynchronous collaboration).
•Familiarity with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and how they work.

Experience:SearchVector databasesDistributed teamsOpen sourceAI

Skills:AutonomyTechnical leadershipCollaborationCode reviewAsynchronous communication

Languages:En

Tech Stack:ElasticsearchLuceneES|QLJavaLambdasData structuresConcurrency constructsHNSWIVFVector searchAlgorithmsGitHubZoomSlackSolrPostgreSQLMongoDBCassandra

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 States

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead initiatives within Elasticsearch to deliver a search engine focused on speed and relevance.
•Build new search features and fix bugs while making the code easier to understand, including developing new algorithms or data structures.
•Collaborate with a globally distributed team focused on Elasticsearch vector search capabilities.
•Drive improvements to Elasticsearch search relevance based on investigation and instincts.
•Work with community members on issues and pull requests, including triaging or handling items directly.

Pay and Benefits

Salary: USD 159,800 - 252,800 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityParental Leave

Key Requirements

•Professional experience with search and vector databases, using algorithms and libraries such as HNSW and IVF at scale.
•Solid core Java skills, including Java data structures/concurrency constructs and features like lambdas.
•Ability to work autonomously, take on projects, and guide them end to end across technical design and engineering.
•Comfort collaborating and iterating with others through code review and feedback on code, approaches, and APIs (including asynchronous collaboration).
•Familiarity with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and how they work.

Experience:SearchVector databasesDistributed teamsOpen sourceAI

Skills:AutonomyTechnical leadershipCollaborationCode reviewAsynchronous communication

Languages:En

Tech Stack:ElasticsearchLuceneES|QLJavaLambdasData structuresConcurrency constructsHNSWIVFVector searchAlgorithmsGitHubZoomSlackSolrPostgreSQLMongoDBCassandra

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