Principal Software Engineer role on the Elasticsearch Search team focused on designing and implementing vector similarity search features, improving existing vector search functionality, resolving bugs, and collaborating with a globally distributed engineering and open source community. The role emphasizes Java development, search algorithms (e.g., HNSW, IVF), data structures, concurrency, and performance at scale.

Lead development of vector search capabilities within Elasticsearch, designing and implementing new vector search features, improving existing functionality, fixing bugs, and collaborating with a globally distributed engineering and open-source community. Requires strong Java skills, experience with vector similarity techniques (e.g., HNSW, IVF) and working at scale with search or vector database systems.

Role focuses on driving adoption and expansion of Elastic’s cloud-based search, observability, and security solutions within mid-market accounts. Responsibilities include full sales-cycle ownership (outreach to close), deep discovery and qualification using frameworks like MEDDPICC, value-based selling, positioning around cloud economics and usage-based pricing, cross-functional collaboration with Solutions Architects/Customer Success/RevOps, and leading negotiation and close activities. Proven SaaS mid-market sales success is required.

Join Elasticsearch's globally distributed Search Relevance team to design and implement new search features, improve vector search capabilities (including HNSW/IVF and vector similarity), contribute to Lucene and Elasticsearch codebase, and collaborate with a distributed open-source community. The role emphasizes modern Java development, algorithm and data-structure work, and experience with search or vector databases.

Join the globally distributed Elasticsearch Search Relevance team as a Senior Software Engineer focused on vector search and search relevance. Responsibilities include designing and implementing new search features, improving relevance (including Lucene contributions), working with vector similarity algorithms (HNSW, IVF), and writing idiomatic modern Java in a distributed, open-source-oriented environment.

Senior Software Engineer role on the globally distributed Elasticsearch Search Relevance team. Responsibilities include designing and implementing search and vector-search features, improving search relevance (including work with Lucene), working with vector similarity algorithms (HNSW, IVF), contributing to open source, and collaborating asynchronously across a distributed team. Compensation range listed: €67,000–€106,000 EUR per year.

Join the globally distributed Elasticsearch Search Relevance team to design and implement vector search and relevance features, fix bugs, and improve search performance. Role emphasizes Java development, work with vector similarity algorithms (e.g., HNSW, IVF), collaboration on open source (GitHub), and contributions to Lucene/Elasticsearch. Location: Greece. Typical starting salary range indicated: €61,100–€96,600 EUR.

Join Elasticsearch's Search Relevance team to design and implement new search features, improve vector search capabilities (HNSW, IVF, vector similarity), work with Lucene, and write idiomatic modern Java on a globally distributed, open-source-focused team. Salary range provided in EUR.

Role involves designing and implementing new search features and enhancements in Elasticsearch (including contributions to Lucene), leading initiatives for vector search capabilities, working with algorithms like HNSW and IVF, collaborating with a globally distributed engineering and open-source community, and writing idiomatic modern Java.

Join the globally distributed Elasticsearch Search Relevance team to design and implement new search features, improve relevance, and fix issues in Elasticsearch/Lucene. The role emphasizes modern Java development, vector search algorithms (HNSW, IVF), working with large-scale search platforms and collaborating with a distributed open-source community.

Join the globally distributed Elasticsearch Search Relevance team to design and implement search features, improve vector search (HNSW, IVF and similar algorithms), contribute to Lucene and Elasticsearch codebase, write idiomatic modern Java, collaborate on open source issues and pull requests, and drive technical direction for search relevance.

Join the globally distributed Elasticsearch Search Relevance team to design and implement new search features, improve vector search capabilities, and resolve complex bugs. The role emphasizes Java development, work with vector similarity algorithms (e.g., HNSW, IVF), collaboration on open-source components like Lucene/Elasticsearch, and operating at scale in distributed systems.

Work on Elasticsearch's Search Relevance team to design and implement new search features, improve search relevance, and contribute to Lucene. The role requires writing modern Java, using and implementing vector-search algorithms (e.g., HNSW, IVF), collaborating with a distributed team, triaging community issues, and delivering scalable, performant search functionality.

Join the globally distributed Elasticsearch Search Relevance team to design and implement new search features, improve search relevance, and work on vector search capabilities. The role requires strong core Java skills, experience with vector similarity (HNSW, IVF) or vector databases, familiarity with Elasticsearch/Lucene, and working on large-scale search platforms. Compensation range listed in CAD.

Lead and grow a distributed engineering team focused on endpoint protections (visibility, prevention, on-device ML) for Elastic Defend. Responsibilities include mentoring senior engineers, owning the roadmap and delivery, directing ML model work and telemetry, driving cross-platform protection parity (Windows, macOS, Linux), and representing the team in research and conferences. Requires hands-on security research, OS internals (kernel and user mode), malware analysis and reverse engineering experience, and people-leadership of senior technical contributors.

Senior Manager role responsible for leading and growing a globally distributed engineering team focused on endpoint protections (visibility, prevention, on-device machine learning) for Elastic Defend. The role requires hands-on background in security research, OS internals (kernel and user mode), reverse engineering and malware analysis, and experience mentoring senior engineers, owning roadmaps, and driving cross-platform protection parity. Compensation is base salary with a typical starting range of €80,400–€127,200 per year.

Seeking a Senior Software Engineer to lead initiatives in Elasticsearch search relevance and vector search, design and implement search features, improve performance, and fix bugs. The role emphasizes modern Java development, experience with search/vector databases (HNSW, IVF), working in a distributed, asynchronous engineering environment, and collaboration on open source projects.

Role to design and implement new search features, improve search relevance (including work touching Lucene), contribute to vector search capabilities (HNSW, IVF), fix bugs, and collaborate with a globally distributed engineering team. Compensation range listed for Poland: 307,800 — 486,900 PLN (base salary).

Join the globally distributed Elasticsearch Search Relevance team to lead design and implementation of search features and relevance improvements (including contributions to Lucene and vector search). The role requires strong Java skills, experience with search/vector databases and algorithms (HNSW, IVF), working in distributed teams, open source collaboration, and improving search performance and reliability. Listed salary range: 791,300–1,251,700 NOK per year.

Join the globally distributed Elasticsearch Search Relevance team to design and implement new search features, improve relevance (including contributions to Lucene), and work on vector search capabilities. The role requires strong Java skills, experience with search or vector databases (HNSW, IVF, etc.), algorithm and data-structure design, and collaborative development in distributed/open-source environments.