Top Tech Jobs & Startup Jobs

Lead development of Elasticsearch search relevance and vector search capabilities. Design and implement new search features, algorithms, and data structures; fix complex bugs; improve performance and maintainability; and contribute to technical direction. Collaborate asynchronously with globally distributed engineers and open-source contributors, write modern Java, review code, and guide initiatives from design through delivery.

Lead Elasticsearch search relevance and vector search initiatives. Design and implement search features, algorithms, and data structures; improve speed, relevance, and scalability; resolve complex bugs; and contribute to Lucene. Collaborate asynchronously with globally distributed engineers and open-source contributors, review code, guide technical direction, and write modern Java. Apply vector similarity techniques and algorithms such as HNSW or IVF on search platforms at scale.

Lead development of Elasticsearch vector search and search relevance capabilities. Design and implement new search features, algorithms, and data structures; fix complex bugs; improve performance and usability; and contribute to Lucene. Collaborate autonomously with globally distributed engineers and open-source community members, guide technical initiatives, and write modern Java for scalable search functionality.

Lead Elasticsearch search relevance initiatives, designing and implementing vector search features, algorithms, data structures, and performance improvements. Develop modern Java, fix complex bugs, improve code quality, and collaborate with a globally distributed engineering and open-source community. Guide projects autonomously from technical design through delivery, contribute to technical strategy, and work with technologies including HNSW, IVF, Elasticsearch, Lucene, and other data stores.

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 usability; resolve complex bugs; contribute to Lucene; collaborate with globally distributed engineers and open-source contributors; and guide projects from technical design through delivery.

Lead development of Elasticsearch vector search and search relevance capabilities. Design and implement new search features, algorithms, and data structures; improve performance, scalability, and relevance; fix complex bugs; contribute to Lucene; collaborate with distributed engineering and open-source communities; and provide technical direction while writing modern Java.

Leads finance transformation for hyperscaler marketplace operations, designing scalable financial systems, automated workflows, integrations, data pipelines, reconciliations, and revenue recognition processes. Partners with Finance, Sales Operations, Product Engineering, IT, and Partner Operations to support AWS, GCP, and Azure marketplace transactions, private offers, co-sell motions, and new product launches. Oversees ASC 606 compliance, UAT, change management, and SOP development.

Lead Elasticsearch search relevance initiatives, designing and implementing scalable search features, algorithms, and data structures. Improve vector search capabilities, speed, and relevance; resolve complex bugs; contribute to Lucene; collaborate with distributed engineering teams and open-source communities; and provide technical direction. Develop idiomatic modern Java and autonomously guide projects from design through delivery.

Lead Elasticsearch search relevance initiatives, designing and implementing search features, algorithms, data structures, and vector search capabilities. Improve performance, scalability, and relevance; resolve complex bugs; contribute to Lucene; collaborate with globally distributed engineers and open-source contributors; and provide technical direction. The role requires modern Java development, autonomous project ownership, code review, asynchronous communication, and expertise with search or vector databases at scale.

Lead Elasticsearch search relevance initiatives, developing high-performance search features, vector search capabilities, algorithms, and data structures. Write modern Java, resolve complex bugs, improve code quality, and guide projects from design through delivery. Collaborate asynchronously with globally distributed engineers and open-source contributors, triage community issues, and drive technical improvements across search platforms.