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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Elasticsearch vector similarity implementation and algorithm development, with strong proficiency in core Java and experience in data storage technologies. Capable of leading cross-functional initiatives and collaborating effectively within a distributed team environment.
Highest-signal resume keywords
Elasticsearch Vector Similarity ImplementationCore Java ProgrammingVector Databases ExperienceData Storage TechnologiesCross-Functional Initiative Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Vector Similarity AlgorithmsHNSWIVFCore JavaData StructuresConcurrency ConstructsLambdasElasticsearchPostgreSQLMongoDB
Soft Skills
Excellent Communication SkillsCollaborative DevelopmentFeedback ReceptionAutonomous WorkDecision-Making
Tools & Technologies
SolrCassandraOpen Source ProjectsSource Control WorkflowsContinuous Integration
Industry Keywords
Vector DatabasesSearch PlatformsAI DevelopmentAsynchronous CommunicationTechnical Design
Tech Stack
Tools & technologiesCassandraElasticSearchJavaMongoDBOpen SourcePostgres
About the role
Key responsibilities & impact- Lead Elasticsearch initiatives to produce an industry-leading vector database offering with speed and relevance in search
- Contribute full time to Elasticsearch by building new search features, fixing bugs, and improving code clarity
- Invent or implement algorithms and data structures and work close to the operating system and hardware when needed
- Work with a globally distributed team focused on Elasticsearch vector search capabilities
- Serve as an expert on Elasticsearch vector similarity implementation and improve the area through investigation and development
- 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 vector similarity and vector databases, including HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
- Strong skills in core Java, including standard library data structures, concurrency constructs, and lambdas
- Ability to take on projects and guide them from beginning to end, covering technical design and collaboration with engineers
- Comfortable 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
- Excellent verbal and written communication skills
- 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
- Ability to work with open source projects, source control workflows, and continuous integration
- 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
