This Solutions Architect role at Elastic (based in Dubai, United Arab Emirates) serves as the technical point of contact for accounts and sales, responsible for designing and demonstrating Elastic Stack solutions, enabling partners and sales, engaging the community (events/meetups/conferences), and communicating customer needs to engineering and leadership. The role involves technical discovery, solution design, onboarding partners, creating collateral, and travel of approximately 30%.

Senior role owning services bookings and revenue for Enterprise & Public Sector in the MENA region. Requires 8+ years in professional services/program delivery or pre-sales in enterprise technology, fluency in Arabic and English, Saudi Arabian citizenship, and willingness to travel up to 50%. Responsible for strategy, forecasting, bid/negotiation, SOWs, governance, and cross-functional alignment.

Senior Regional Services Partner responsible for driving services bookings and revenue across Enterprise Sector customers in EMEA Central. Role combines commercial ownership (forecasting, pricing, contracts) with delivery governance, risk oversight, SOW creation, and cross-functional stakeholder alignment. Fluency in German and English and up to 50% travel are required.

This Senior Solutions Architect role at Elastic (based in the United Kingdom) acts as a technical authority and trusted advisor for sales, customers and partners. Responsibilities include technical presales, discovery, solution design and demonstrations across Elastic products (AI enterprise search, observability, security), partner enablement, and representing Elastic at events. The role requires travel (~30%) and fluency in English.

Principal Software Engineer on the Elasticsearch Search team responsible for designing and implementing vector search features, improving existing vector functionality, fixing bugs, and collaborating with a globally distributed engineering team. Requires strong core Java skills, professional experience with vector similarity/vector databases and algorithms (e.g., HNSW, IVF), familiarity with search technologies (Elasticsearch, Lucene), and experience with distributed/open-source workflows. Listed typical starting salary range: €67,000–€106,000 EUR per year.

Join the globally distributed Elasticsearch Search team as a Principal Software Engineer to design and implement vector search features, improve vector similarity functionality (HNSW, IVF, etc.), and contribute to Lucene and Elasticsearch codebases. The role emphasizes modern Java development, algorithm and data structure design, performance optimization, and collaboration with the open-source community.

Join the globally distributed Elasticsearch Search team to design and implement vector search features, improve existing vector similarity functionality (HNSW, IVF, etc.), fix bugs, and contribute to Lucene. Role requires strong Java, algorithms, and distributed systems experience and collaboration on open source projects.

Work on Elasticsearch's Search team to design and implement new vector search features, improve existing vector similarity functionality (HNSW, IVF, etc.), fix bugs, and contribute to Lucene integration. The role requires strong core Java skills, experience with vector databases and similarity algorithms, familiarity with data storage technologies, and experience working in distributed/open-source environments. The position is part of a globally distributed team and is listed for Portugal.

Role focuses on enhancing Elasticsearch's vector similarity search (design, implement, and fix features), contributing to Lucene where relevant, working with a globally distributed engineering team, and writing idiomatic modern Java. Requires professional experience with vector similarity/vector databases (experience with HNSW, IVF, or similar), strong core Java skills, familiarity with data storage technologies, and experience collaborating on open source and distributed teams.

Join the globally distributed Elasticsearch Search team as a Principal Software Engineer to lead work on vector similarity search and vector database features (including algorithms like HNSW/IVF). Responsibilities include designing and implementing new vector search features, fixing bugs, improving relevance, collaborating with a distributed engineering and open source community, and writing idiomatic modern Java.

Lead design and implementation of vector search features and enhancements within Elasticsearch, contribute to Lucene improvements, triage and handle community issues, and write idiomatic modern Java. Requires professional experience with vector similarity algorithms (e.g., HNSW, IVF), distributed system development, and collaborative asynchronous communication.

Lead work on vector search within Elasticsearch: design and implement new vector search features, enhance existing vector similarity functionality (HNSW, IVF, etc.), fix bugs, and collaborate with a distributed team. Requires strong Java skills, experience with search platforms and vector databases, algorithm and data-structure expertise, and distributed-system experience.

Join Elastic's globally distributed Elasticsearch Search team as a Principal Software Engineer to lead development of vector similarity search features (including algorithms like HNSW/IVF), contribute to Lucene-related improvements, write modern Java, collaborate with open-source community members, and drive technical design and implementation for vector search capabilities.

Join the globally distributed Elasticsearch Search team to design and implement vector search features, improve vector similarity functionality, contribute to Lucene, and resolve related bugs. Role emphasizes idiomatic modern Java, algorithm and data-structure work, collaboration across a distributed team, and experience with vector databases and search platforms (HNSW, IVF).

Lead design and implementation of vector search features in Elasticsearch (including improving Lucene), work on vector similarity algorithms (HNSW, IVF, etc.), implement new algorithms or data structures, fix bugs, and collaborate with a globally distributed engineering and open source community. Requires strong Java skills, experience with vector databases and search at scale, distributed systems knowledge, and experience with related data storage technologies.

Work includes reverse engineering obfuscated and packed malware across Windows, macOS, and Linux; operating large-scale telemetry systems to surface campaigns; authoring signatures and automation to ship protections; publishing public research; and mentoring and setting technical direction. Requires 6+ years of professional malware reverse engineering experience, Python development, YARA authorship, and working knowledge of OS internals, network protocols, and applied cryptography.

Join Elastic Security Endpoint Protections to research emerging attacker techniques and convert them into shipped protections. Responsibilities include instrumentation of endpoint telemetry, developing performant C/C++ production code for millions of endpoints, reverse engineering malware, owning efficacy end-to-end, extending protections across platforms, collaborating across distributed teams, mentoring, and publishing research. Requires 6+ years analyzing TTPs and building detections, 6+ years development in C/C++/Python, deep OS internals knowledge (Windows prioritized), and malware analysis experience.

Role requires 6+ years experience in attacker TTP analysis and building detections, 6+ years development in C, C++, and Python, deep OS internals and reverse-engineering skills, and experience developing performant, stable endpoint protections. Responsibilities include researching threats, adding endpoint visibility, writing production code, investigating telemetry at fleet scale, extending protections across platforms, mentoring, and publishing research. Salary range provided in CAD.

Join the Elasticsearch Search team as a Principal Software Engineer to design and implement vector search features, improve vector similarity functionality, and resolve related bugs. The role emphasizes building scalable, high-performance search capabilities (including work in Lucene), inventing or implementing algorithms/data structures, and collaborating with a globally distributed engineering and open-source community. Strong core Java skills and professional experience with vector similarity/vector databases (HNSW, IVF or similar) are required.

Join the globally distributed Elasticsearch Search team as a Principal Software Engineer to lead design and implementation of vector search features, improve vector similarity functionality (e.g., HNSW, IVF), fix bugs, and collaborate with a distributed open-source community. The role emphasizes strong Java, algorithms, data structures, concurrency, and distributed-systems skills and is based in/associated with Norway.