Elastic

2 days ago

Senior Software Engineer - Search 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: 2 hours agoStatus: Live

Job Summary

Join the Elasticsearch Search Relevance team to help define the technical direction for search capabilities. You’ll lead initiatives that improve search speed and relevance, build new search features, fix bugs, and make code easier to understand. Work with a globally distributed group of engineers focused on vector search, collaborate with the community on issues and pull requests, and write idiomatic modern Java to deliver high-impact improvements.

Location: Switzerland

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead initiatives within Elasticsearch to deliver an industry-leading search engine with speed and relevance improvements.
•Contribute to Elasticsearch by building new search features and fixing bugs while improving code readability.
•Collaborate with a globally distributed team of engineers focused on Elasticsearch vector search capabilities.
•Drive improvements in Elasticsearch search relevance by identifying and acting on opportunities.
•Work with the community on issues and pull requests, triaging and handing off work or handling it directly.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveVolunteer Time

Key Requirements

•Professional experience with search or vector databases, including using HNSW, IVF, or similar algorithms and libraries at scale.
•Solid core Java skills, including the standard library for data structures and concurrency constructs (including lambdas).
•High autonomy: take on projects and guide them from beginning to end, including technical design and building components with other engineers.
•Comfort collaborating and giving/receiving feedback on code, approaches, and APIs—especially in an asynchronous environment.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and an understanding of how they work.

Experience:SearchVector databases

Skills:CollaborationCode reviewAutonomyCross-functional collaborationAsynchronous communication

Languages:English

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFSolrPostgreSQLMongoDBCassandraGitHubZoomSlack

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

2 days ago

Senior Software Engineer - Search 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: 2 hours agoStatus: Live

Job Summary

Location: Switzerland

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead initiatives within Elasticsearch to deliver an industry-leading search engine with speed and relevance improvements.
•Contribute to Elasticsearch by building new search features and fixing bugs while improving code readability.
•Collaborate with a globally distributed team of engineers focused on Elasticsearch vector search capabilities.
•Drive improvements in Elasticsearch search relevance by identifying and acting on opportunities.
•Work with the community on issues and pull requests, triaging and handing off work or handling it directly.

Pay and Benefits

Perks:Health InsurancePaid LeaveParental LeaveVolunteer Time

Key Requirements

•Professional experience with search or vector databases, including using HNSW, IVF, or similar algorithms and libraries at scale.
•Solid core Java skills, including the standard library for data structures and concurrency constructs (including lambdas).
•High autonomy: take on projects and guide them from beginning to end, including technical design and building components with other engineers.
•Comfort collaborating and giving/receiving feedback on code, approaches, and APIs—especially in an asynchronous environment.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and an understanding of how they work.

Experience:SearchVector databases

Skills:CollaborationCode reviewAutonomyCross-functional collaborationAsynchronous communication

Languages:English

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFSolrPostgreSQLMongoDBCassandraGitHubZoomSlack

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