Elastic, a leader in Search AI, empowers organizations to harness their data for real-time search, observability, and security solutions at scale.
San Francisco, California
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale. Elastic’s solutions for search, observability, and security are built on the Elastic Search AI Platform — the development platform used by thousands of companies, including more than 50% of the Fortune 500.
Remote · Canada
Design and implement intuitive user interface components for the Streams UI team using TypeScript, React, and Node.js. Lead architecture discussions, establish coding standards, and collaborate with designers and product managers to deliver high-quality, scalable features.
Remote · Canada, Florida, United States, Massachusetts, United States, Michigan, United States, Ohio, United States, Pennsylvania, United States, Tennessee, United States, Texas, United States, Washington, District of Columbia, United States
You will design and build workflows and user-facing capabilities for the Elastic Defend agent to protect against security threats. You will also evolve APIs and contribute to the architecture of management and response action frameworks.
Remote · Canada, Greece, Norway, Poland, Portugal, Spain
Lead green-field initiatives to improve the developer experience for building and maintaining security integrations. Architect and drive automation strategies using Generative AI to solve problems at scale.
Remote · Canada
You will define, lead, and contribute to the evolution of core search and indexing capabilities within the Elasticsearch infrastructure. This involves researching advanced retrieval algorithms and collaborating with product teams to shape the long-term technical vision for search at Elastic.
Remote · Canada
You will design and implement new analytics capabilities and features for the Elasticsearch query engine. You will also collaborate with a globally distributed team to resolve bugs and improve the performance of data-intensive systems.
Remote · Canada
You will define, lead, and contribute to the development of data-intensive enhancements for the Elasticsearch compute engine and ES|QL. This role involves providing technical vision, mentoring engineers, and collaborating across teams to build scalable and intuitive software.
Remote · Canada
Lead the architecture and design of core security features for Elasticsearch, including authentication, authorization, and tenant isolation. Drive vulnerability management and optimize security performance within a distributed data store environment.
Remote · Canada
Lead initiatives to enhance vector similarity search functionality within the Elasticsearch platform to ensure industry-leading speed and relevance. Collaborate with a globally distributed team to design, implement, and maintain high-performance search features while contributing to the underlying Lucene codebase.
Remote · Canada
Lead initiatives to enhance Elasticsearch search engine performance and relevance while contributing to the development of new search features. Collaborate with a globally distributed team to resolve bugs and improve search functionality using modern Java.
Remote · Canada
Lead initiatives to develop industry-leading vector database features within Elasticsearch and contribute to core search functionality. Collaborate with a globally distributed team to design, implement, and maintain high-performance search algorithms and data structures.
Remote · Canada
Lead the architectural evolution of Elasticsearch's core storage engine, focusing on indexing layouts and query performance. Drive cross-organizational initiatives to build industry-leading observability solutions and mentor other engineers.
Remote · Canada
Lead the architectural evolution and technical vision of Elasticsearch's core storage and query engine. Drive cross-organizational initiatives to optimize storage efficiency and performance for observability workloads.
Remote · Canada
You will contribute to core performance engineering initiatives by designing and implementing architectural and code-level optimizations for Elasticsearch. This includes profiling system behavior, automating benchmarking workflows, and collaborating with cross-functional teams to ensure scalability and predictability.
Remote · Canada
Lead architectural and code-level performance engineering initiatives to optimize Elasticsearch performance and predictability. Develop foundational performance models, drive automation for benchmarking, and mentor other engineers to foster a performance-aware development culture.
Remote · Canada
Lead initiatives to enhance Elasticsearch search engine performance and relevance, including the development of new search features and algorithms. Collaborate with a globally distributed team to maintain high-quality code through reviews and asynchronous communication.