3 months ago
Poland (city not specified)Staff+
Responsibilities
- Lead initiatives within Elasticsearch to deliver an industry-leading vector database offering focused on speed and search relevance.
- Design and implement new vector search features, improve existing vector similarity functionality, and resolve bugs.
- Develop algorithms and data structures for search, sometimes working close to the operating system and hardware.
- Serve as an expert on Elasticsearch vector similarity implementation and search relevance.
- Collaborate with globally distributed engineers and community members on issues, pull requests, triage, and handoffs.
- Write idiomatic modern Java and improve code clarity, maintainability, and quality.
- Own projects from beginning to end, including technical design and coordination with other engineers.
- Design, lead, and own cross-functional initiatives based on business 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 the standard library, data structures, concurrency constructs, and lambdas.
- Ability to work autonomously and guide projects from technical design through completion.
- Experience collaborating on code, APIs, and technical approaches in distributed or open-source environments.
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra.
- Excellent verbal and written communication skills, with the ability to collaborate across functions, teams, projects, and codebases.
- Proven use of AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Experience designing, leading, and owning cross-functional initiatives is preferred.
- Experience with Elasticsearch, open-source projects, source-control workflows, continuous integration, or additional data-storage technologies is preferred.
Benefits
- Distributed work with flexible locations and schedules for many roles.
- Health coverage for employees and their families in many locations.
- Generous vacation allowance.
- Financial donation matching and up to 40 hours annually for volunteer projects.
- At least 16 weeks of parental leave.
- Inclusive culture, equal-opportunity employment, and 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.