3 months ago
Remote, RomaniaStaff+
Responsibilities
- Lead initiatives to build an industry-leading vector database offering within Elasticsearch.
- Design and implement new vector search features and improve existing vector similarity functionality.
- Fix bugs, improve code clarity, and develop algorithms or data structures when needed.
- Develop modern, idiomatic Java for Elasticsearch and contribute to Lucene search improvements.
- Serve as an expert on Elasticsearch vector similarity implementation and search relevance.
- Collaborate with globally distributed engineers, community members, and contributors on issues and pull requests.
- Guide projects from technical design through implementation and lead cross-functional initiatives.
- Use AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
Requirements
- Novel vector similarity techniques implemented on a large-scale search platform or significant academic research in vector similarity information retrieval.
- Professional experience with vector similarity and vector databases at scale, including HNSW, IVF, or comparable algorithms and libraries.
- Strong core Java skills, including the standard library, data structures, concurrency constructs, and lambdas.
- Ability to work autonomously and guide projects from beginning to end across technical design and engineering collaboration.
- Experience collaborating on code, APIs, approaches, and distributed or open-source projects.
- Familiarity with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Excellent verbal and written communication skills.
- Ability to collaborate across functions and teams and transition between projects, codebases, or teams as priorities change.
- Experience with open-source projects and source-control and continuous-integration workflows is preferred.
- Experience designing, leading, and owning cross-functional initiatives is preferred.
Benefits
- Base salary with no variable compensation component.
- Distributed work model with flexible locations and schedules for many roles.
- Health coverage for employees and families in many locations.
- Generous vacation allowance.
- Elastic matches up to $2000 or local-currency equivalent for financial donations and service.
- Up to 40 hours annually for volunteer projects.
- At least 16 weeks of parental leave.
Tech Stack
Categories
About Elastic
Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.