3 months ago
Ireland (city not specified)Senior
Responsibilities
- Lead Elasticsearch initiatives to improve search speed, relevance, and overall search capabilities.
- Design and implement new search features, algorithms, and data structures for vector search and search relevance.
- Fix bugs, improve code clarity, and contribute to performance and system-level improvements.
- Contribute to the technical direction and vision for Elasticsearch search capabilities.
- Collaborate with globally distributed engineers and community members on issues and pull requests.
- Write modern, idiomatic Java and participate in code review and asynchronous collaboration.
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 or libraries such as HNSW and IVF at scale.
- Strong core Java skills, including data structures, concurrency constructs, lambdas, and the standard library.
- Ability to work autonomously, own projects from technical design through delivery, and guide other engineers.
- Experience with multiple data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Ability to collaborate across functions, teams, projects, codebases, and distributed working environments.
- Demonstrated use of AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Preferred experience building with Elasticsearch, working on open-source projects, and using source control and continuous integration workflows.
- Preferred experience designing, leading, and owning cross-functional initiatives.
Benefits
- Distributed work model with flexible locations and schedules for many roles.
- Health coverage for employees and families in many locations.
- Generous vacation allowance.
- Up to $2,000 or local-currency equivalent matched for financial donations and service.
- Up to 40 hours annually for volunteer projects.
- At least 16 weeks of parental leave.
- Base salary compensation with no variable compensation component.
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.