Elastic

1 month ago

Principal Software Engineer - Vector Search - Elasticsearch

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Lead the development of a world-class vector search feature set within Elasticsearch, driving design and implementation of vector similarity capabilities, collaborating with a globally distributed team, and shaping algorithms, performance, and APIs to deliver fast, relevant search at scale.

Location: Spain

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead initiatives within Elasticsearch to produce an industry-leading vector database offering with fast search relevance.
•Contribute to Elasticsearch by building new search features, fixing bugs, and refining code for readability; invent or adapt algorithms and data structures as needed.
•Collaborate with a globally distributed team of engineers focused on vector search capabilities.
•Become the go-to expert on vector similarity implementation to support search relevance and API design.
•Engage with community members on issues and pull requests, triaging or handling them as appropriate.

Pay and Benefits

Salary: EUR 80,400 - 127,200 annually

Perks:Health InsurancePaid LeaveParental LeaveVolunteer TimeDonations Matching

Key Requirements

•Strong Java skills with deep knowledge of core data structures and concurrency, including lambdas.
•Experience with vector similarity on large-scale search platforms using algorithms like HNSW or IVF.
•Proven ability to design and lead end-to-end projects, including technical design and collaboration with other engineers.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
•Excellent verbal and written communication; comfortable collaborating asynchronously over the internet.

Experience:Vector searchSearch platformElasticsearchVector databases

Skills:CommunicationCollaborationProblem-solvingLeadership

Languages:English

Tech Stack:JavaLuceneElasticsearchSolrPostgreSQLMongoDBCassandraGitGitHubZoomSlack

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

1 month ago

Principal Software Engineer - Vector Search - Elasticsearch

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 20 hours agoStatus: Live

Job Summary

Location: Spain

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead initiatives within Elasticsearch to produce an industry-leading vector database offering with fast search relevance.
•Contribute to Elasticsearch by building new search features, fixing bugs, and refining code for readability; invent or adapt algorithms and data structures as needed.
•Collaborate with a globally distributed team of engineers focused on vector search capabilities.
•Become the go-to expert on vector similarity implementation to support search relevance and API design.
•Engage with community members on issues and pull requests, triaging or handling them as appropriate.

Pay and Benefits

Salary: EUR 80,400 - 127,200 annually

Perks:Health InsurancePaid LeaveParental LeaveVolunteer TimeDonations Matching

Key Requirements

•Strong Java skills with deep knowledge of core data structures and concurrency, including lambdas.
•Experience with vector similarity on large-scale search platforms using algorithms like HNSW or IVF.
•Proven ability to design and lead end-to-end projects, including technical design and collaboration with other engineers.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
•Excellent verbal and written communication; comfortable collaborating asynchronously over the internet.

Experience:Vector searchSearch platformElasticsearchVector databases

Skills:CommunicationCollaborationProblem-solvingLeadership

Languages:English

Tech Stack:JavaLuceneElasticsearchSolrPostgreSQLMongoDBCassandraGitGitHubZoomSlack

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