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.
- Develop search software in Java, including algorithms and data structures, and resolve complex bugs.
- Improve code clarity, performance, search speed, and relevance in Elasticsearch and Lucene.
- Serve as an expert on Elasticsearch vector similarity implementation and search relevance.
- Collaborate with globally distributed engineers and open-source community members on issues and pull requests.
- Triage community issues and pull requests or route them to the appropriate experts.
- Own projects from technical design through completion and lead cross-functional initiatives.
Requirements
- Professional experience with vector similarity, vector databases, and search platforms at scale.
- Experience using HNSW, IVF, or other relevant vector-search algorithms and libraries.
- Strong core Java skills, including data structures, concurrency constructs, lambdas, and the standard library.
- Ability to work autonomously and drive projects from beginning to end.
- Experience collaborating on software development, code reviews, APIs, and technical approaches in distributed teams.
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Strong verbal and written communication skills.
- A proven track record of using AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Ability to collaborate across functions and teams and transition between projects, codebases, or teams as priorities change.
- Bonus: prior Elasticsearch development experience, open-source experience, familiarity with source-control workflows and continuous integration, data-storage experience, and experience designing or leading cross-functional initiatives.
Benefits
- Distributed work arrangement with flexible locations and schedules.
- Competitive pay based on the work performed rather than previous salary.
- Health coverage for employees and families in many locations.
- Generous annual vacation allowance.
- Elastic matches up to $2,000, or the local-currency equivalent, for financial donations and service.
- Up to 40 hours annually for volunteer projects.
- At least 16 weeks of parental leave.
- Inclusive, equal-opportunity workplace with accessibility support.
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.