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 in Elasticsearch to deliver an industry-leading search engine with exceptional speed and relevance. Contribute to building new search features, fixing complex bugs, and improving code clarity—sometimes inventing algorithms or data structures. Work with a globally distributed team focused on vector search capabilities, becoming an expert in search relevance. Collaborate with engineers and community members on issues and pull requests, and write idiomatic modern Java for Elasticsearch.

Location: Canada

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.
•Build new search features and fix bugs while making code easier to understand, including designing new algorithms or data structures when needed.
•Collaborate with a globally distributed team focused on vector search capabilities.
•Drive improvements to Elasticsearch search relevance based on questions and instincts.
•Work with community members on issues and pull requests, sometimes triaging and handing off work and sometimes handling it directly.

Pay and Benefits

Salary: CAD 154,000 - 243,600 annually

Equity and Bonus:Equity

Perks:EquityPensionHealth InsurancePaid Leave

Key Requirements

•Professional experience with search and vector databases, using HNSW, IVF, or similar algorithms and libraries at scale.
•Solid core Java skills, including data structures and concurrency constructs, plus familiarity with lambdas.
•High autonomy—able to take on projects and guide them end to end, including technical design and building components with other engineers.
•Comfort collaborating on code, approaches, and APIs, including asynchronous internet collaboration.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding how and why they work.

Experience:SearchVector databases

Skills:Code reviewCollaborationAsynchronous communicationTechnical leadershipProblem-solving

Languages:English

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFGitHubSlackZoomPostgreSQLMongoDBCassandraSolr

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: Canada

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.
•Build new search features and fix bugs while making code easier to understand, including designing new algorithms or data structures when needed.
•Collaborate with a globally distributed team focused on vector search capabilities.
•Drive improvements to Elasticsearch search relevance based on questions and instincts.
•Work with community members on issues and pull requests, sometimes triaging and handing off work and sometimes handling it directly.

Pay and Benefits

Salary: CAD 154,000 - 243,600 annually

Equity and Bonus:Equity

Perks:EquityPensionHealth InsurancePaid Leave

Key Requirements

•Professional experience with search and vector databases, using HNSW, IVF, or similar algorithms and libraries at scale.
•Solid core Java skills, including data structures and concurrency constructs, plus familiarity with lambdas.
•High autonomy—able to take on projects and guide them end to end, including technical design and building components with other engineers.
•Comfort collaborating on code, approaches, and APIs, including asynchronous internet collaboration.
•Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding how and why they work.

Experience:SearchVector databases

Skills:Code reviewCollaborationAsynchronous communicationTechnical leadershipProblem-solving

Languages:English

Tech Stack:JavaElasticsearchLuceneES|QLHNSWIVFGitHubSlackZoomPostgreSQLMongoDBCassandraSolr

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