3 months ago
Remote, SwitzerlandSenior
Responsibilities
- Lead initiatives to improve Elasticsearch search speed, relevance, and overall search capabilities.
- Design and implement new search features, algorithms, and data structures for vector search.
- Fix complex bugs and improve the clarity, maintainability, and performance of Elasticsearch code.
- Contribute to improvements in Lucene and act as an expert in Elasticsearch search relevance.
- Collaborate with globally distributed engineers and open source community members on issues and pull requests.
- Write idiomatic modern Java and guide projects from technical design through implementation.
- Drive technical direction, cross-functional initiatives, and decisions with a high degree of autonomy.
Requirements
- Implemented novel vector similarity techniques on a large-scale search platform or advanced academic research in vector similarity information retrieval.
- Professional experience with search or vector databases and algorithms such as HNSW or IVF at scale.
- Strong Java skills, including the standard library, data structures, concurrency constructs, and lambdas.
- Experience using data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Ability to independently own projects from design through delivery and collaborate effectively across teams.
- Experience using AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Preferred experience includes building with Elasticsearch, contributing to open source projects, and designing or leading cross-functional initiatives.
Benefits
- Distributed work arrangement 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 of paid time each year for volunteer projects.
- At least 16 weeks of parental leave.
- Inclusive, equal-opportunity workplace with accessibility accommodations available.
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.