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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Elasticsearch and Java, with a strong focus on developing search features and improving search relevance. Proven ability to collaborate effectively in distributed teams and drive projects from inception to completion.
Highest-signal resume keywords
Elasticsearch ExpertiseCore Java ProficiencySearch Algorithms ExperienceData Storage TechnologiesAI Development Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
JavaElasticsearchHNSWIVFData StructuresConcurrency ConstructsSearch PlatformsAPIsAlgorithmsVector Databases
Soft Skills
CollaborationAutonomous WorkFeedback ReceptionCommunicationProject Guidance
Tools & Technologies
SolrPostgreSQLMongoDBCassandraSource Control WorkflowsContinuous Integration
Industry Keywords
Search EngineOpen Source ProjectsCross-Functional InitiativesAsynchronous CommunicationTechnical Design
Tech Stack
Tools & technologiesCassandraElasticSearchJavaMongoDBOpen SourcePostgres
About the role
Key responsibilities & impact- Lead initiatives within Elasticsearch to produce an industry-leading search engine offering with speed and relevance
- Contribute full time to Elasticsearch by building new search features and fixing bugs
- Improve code understandability
- Invent or implement algorithms and data structures
- Work close to the operating system and hardware when needed
- Collaborate with a globally distributed team focused on Elasticsearch vector search capabilities
- Act as an expert on Elasticsearch search relevance and identify and drive improvements
- Work with community members worldwide 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 the standard library of data structures and concurrency constructs and features like lambdas
- Ability to take on projects and guide them from beginning to end, including technical design and developing needed components with other engineers
- Experience developing collaboratively and giving and receiving feedback on 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 based on business priorities
- Ability to work autonomously and drive decisions and results in a distributed team through asynchronous, direct, and transparent communication
- Bonus: Experience building with Elasticsearch
- Bonus: Experience with open source projects, source control workflows, and continuous integration
- Bonus: Experience 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
- We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Minimum of 16 weeks of parental leave
