3 months ago
Remote, SwitzerlandStaff+
Responsibilities
- Lead initiatives to build an industry-leading vector database offering within Elasticsearch.
- Design and implement new vector search features, enhancements, algorithms, and data structures.
- Fix complex bugs and improve the clarity, scalability, and maintainability of Elasticsearch code.
- Develop deep expertise in Elasticsearch vector similarity and advise other engineers on the area.
- Collaborate with globally distributed engineers and community members on issues and pull requests.
- Triage community issues, coordinate handoffs, and contribute directly to open-source development.
- Write idiomatic modern Java for Elasticsearch.
Requirements
- Professional experience with vector similarity and vector databases at search-platform 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 guide projects from technical design through completion.
- Experience collaborating across distributed teams and codebases with strong written and verbal communication.
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Proven ability to use AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Ability to collaborate across functions, adapt between projects or teams, and drive decisions in an asynchronous environment.
- Experience with Elasticsearch, open-source projects, source-control workflows, continuous integration, or cross-functional initiative leadership is a bonus.
Benefits
- Competitive pay based on the work performed, excluding prior salary.
- Health coverage for employees and families in many locations.
- Distributed work with flexible locations and schedules for many roles.
- Generous vacation days.
- Donation matching up to $2,000 or local-currency equivalent.
- Up to 40 volunteer hours per year.
- 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.