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Elastic

Senior Software Engineer – Search Algorithms, Elasticsearch

Elastic

. Lead initiatives within Elasticsearch to produce an industry-leading search engine with speed and relevance .

Posted 11/3/2026full-timeRemote • SwitzerlandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Elasticsearch and Java, with a strong focus on building and optimizing search features and algorithms. Proven ability to collaborate effectively in distributed teams while driving technical initiatives and improvements.

Highest-signal resume keywords
ElasticsearchCore JavaSearch AlgorithmsVector DatabasesData Storage Technologies

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Search AlgorithmsCore JavaConcurrency ConstructsData StructuresHNSWIVFElasticsearchSolrPostgreSQLMongoDB
Soft Skills
Autonomous WorkCollaborationCommunicationProject GuidanceDecision Making
Tools & Technologies
ElasticsearchSolrPostgreSQLMongoDBCassandraContinuous IntegrationSource-Control Workflows
Industry Keywords
Search EngineVector SearchOpen-Source ProjectsAsynchronous CommunicationTechnical Design

Tech Stack

Tools & technologies
CassandraElasticSearchJavaMongoDBPostgres

About the role

Key responsibilities & impact
  • Lead initiatives within Elasticsearch to produce an industry-leading search engine with speed and relevance
  • Build new search features and fix bugs in Elasticsearch
  • Improve code understandability and, when needed, invent or implement algorithms and data structures
  • Work close to the operating system and hardware when required
  • Collaborate with a globally distributed team focused on Elasticsearch vector search capabilities
  • Identify and drive improvements in Elasticsearch search relevance
  • Work with global community members on issues and pull requests, including triage, handoff, and resolution
  • Write idiomatic modern Java

Requirements

What you’ll need
  • Professional experience with search or vector databases
  • Experience using HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
  • Solid skills in core Java, including standard data structures, concurrency constructs, and lambdas
  • Ability to work autonomously and guide projects from beginning to end
  • Experience collaborating on technical designs, code, approaches, and APIs
  • Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra
  • Proven track record of using AI to accelerate development, debug complex systems, and optimize code while owning final outcomes
  • Ability to collaborate across functions and teams and transition between projects, codebases, or teams
  • Ability to drive decisions and results in a distributed team using asynchronous, direct, and transparent communication
  • Bonus: experience building with Elasticsearch; open-source projects; source-control workflows; continuous integration; data storage technology; designing, leading, and owning cross-functional initiatives

Benefits

Comp & perks
  • Competitive pay based on the work you do here and not your previous salary
  • Health coverage for you and your family in many locations
  • Ability to craft your calendar with flexible locations and schedules for many roles
  • Generous number of vacation days each year
  • Elastic matches up to $2000 (or local currency equivalent) for financial donations and service
  • Up to 40 hours each year for volunteer projects
  • Minimum of 16 weeks of parental leave
  • Inclusive culture and accessibility accommodations