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Lead the design and implementation of vector similarity search features in Elasticsearch. Develop modern Java software, invent or implement algorithms and data structures, improve search relevance and performance, fix complex bugs, and contribute to Lucene. Collaborate autonomously with globally distributed engineers and open-source contributors, guide cross-functional initiatives, review code, and support technical decisions across projects and codebases.

Lead development of Elasticsearch vector search capabilities, including designing and implementing new features, algorithms, and data structures; improving search relevance, speed, and scalability; fixing complex bugs; and contributing to Apache Lucene. Collaborate with a globally distributed engineering and open-source community, provide technical leadership, review code, and guide cross-functional initiatives. Develop modern Java software and independently drive projects from technical design through delivery.

Lead strategic build-versus-buy engineering initiatives within Elastic’s IT organization. Design and deliver internal platforms using Elasticsearch, Kibana, Elastic ML, AI, and cloud technologies across developer productivity, FinOps, IT service management, and enterprise efficiency. Establish architecture and engineering standards, partner cross-functionally with IT, Security, Platform Engineering, Finance, and other teams, and validate Elastic products through internal production systems.

Lead a globally distributed endpoint security engineering team developing visibility, prevention, and machine learning capabilities across Windows, macOS, and Linux. Own the technical roadmap, delivery, cross-platform protection parity, and machine learning direction. Mentor senior engineers, manage hiring and career development, collaborate with product and engineering teams, maintain platform vendor relationships, and represent the team through customer engagement, conference presentations, and technical research.

Lead a globally distributed endpoint security engineering team developing visibility, prevention, machine learning, and cross-platform protection capabilities. Own the roadmap, delivery, hiring, mentorship, and technical direction across Windows, macOS, and Linux. Guide malware analysis and reverse-engineering work, coordinate with product and engineering teams, maintain vendor relationships, and represent Elastic through customer engagement, research publications, and conference presentations.

Designs, deploys, scales, and optimizes enterprise Elasticsearch architectures and high-throughput ingestion pipelines. Leads cluster design, vector and semantic search implementations, performance tuning, migrations, customer engagements, architectural reviews, and technical delivery. Partners with customer and internal engineering teams, provides field feedback, documents implementation practices, and mentors technical staff.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, data structures, and bug fixes in modern Java. Improve search speed and relevance, contribute to Lucene, collaborate with a globally distributed engineering community, guide projects autonomously, review code, and work with technologies including Elasticsearch, Solr, PostgreSQL, MongoDB, and Cassandra.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, and data structures in modern Java. Improve performance, scalability, and relevance; resolve complex bugs; collaborate with a globally distributed engineering and open-source community; review code, guide technical decisions, and own projects from design through delivery.

Lead Elasticsearch search relevance initiatives focused on vector search, designing and implementing scalable search features, algorithms, and data structures. Build and improve Elasticsearch and Lucene functionality, resolve complex bugs, optimize performance, and collaborate with distributed engineering and open-source communities. Write modern Java, guide projects autonomously from design through delivery, and contribute to technical direction across teams.

Lead Elasticsearch search relevance and vector search initiatives, designing and implementing new search features, algorithms, and data structures in modern Java. Improve search speed, relevance, and functionality; resolve complex bugs; contribute to Lucene; collaborate with globally distributed engineers and open-source contributors; and guide technical projects from design through delivery.