3 months ago
Greece (city not specified)Staff+
Responsibilities
- Lead Elasticsearch initiatives to deliver an industry-leading vector database with high search speed and relevance.
- Design and implement new vector search features, improve existing vector similarity functionality, and resolve bugs.
- Develop Elasticsearch search features, algorithms, and data structures, including contributions to 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.
- Write idiomatic modern Java and guide projects from technical design through implementation.
- Support cross-functional initiatives and adapt across projects, codebases, and teams based on priorities.
Requirements
- Implemented novel vector similarity techniques on a large-scale search platform or advanced academic research in vector similarity information retrieval.
- Professional experience with vector similarity and vector databases, including HNSW, IVF, or comparable algorithms and libraries at scale.
- Strong core Java skills, including data structures, concurrency constructs, lambdas, and the standard library.
- Ability to work autonomously, own projects end to end, and guide other engineers on technical designs and components.
- Experience collaborating on software development, code review, APIs, and distributed or asynchronous teams.
- Experience with data-storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Strong verbal and written communication skills.
- 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.
- Bonus: experience building with Elasticsearch, working on open-source projects, source-control workflows, continuous integration, data-storage technologies, or leading cross-functional initiatives.
Benefits
- Base salary only 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.
- Financial-donation matching of up to $2,000 or local-currency equivalent.
- Up to 40 hours per year 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.