Senior Clinical Project Manager

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join the Elasticsearch - Storage Engine team . This globally distributed, fully remote team of experienced engineers develops core storage and query technologies for observability workloads, including improving storage efficiency, advancing ES|QL query processing and performance, and optimizing data layouts for object storage. This role is responsible for designing, implementing, and optimizing Elasticsearch's core storage and query engine. The ideal candidate has experience building high-performance, scalable database, search, or distributed systems, with a strong focus on storage, indexing, query execution, and performance optimization. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable, intuitive and high-quality software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization formats, and r

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This technical leader is responsible for contributing to the technical direction and vision for our search capabilities, including design and implementation of new search features, enhancements to search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We're looking for a Senior Software Engineer to join the Elasticsearch - Search Relevance team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This technical leader is responsible for contributing to the technical direction and vision for our search capabilities, including design and implementation of new search features, enhancements to search functionality, and resolving bugs. Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements. What You Will Be Doing Lead initiatives within Elasticsearch to produce an industry-leading search engine offering, supplying unparalleled speed and relevance in search. Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a Senior Software Engineer to join the Integrations Team and help us build how Elastic shows up inside the AI ecosystem. AI assistants and agentic tools are quickly becoming the place where developers start their work, and this role exists to make Elastic work in the tools and ecosystems that our users use. We want to be easy to find, easy to connect to, and easy to use. The Integrations team owns the developer-facing surfaces that connect Elastic to the broader ecosystem: language clients, CLI, MCP server, third-party integrations, and the skills that make Elastic accessible wherever developers work. You'll build and maintain these projects, engage directly with the developer community, and contribute across team and cross-functional initiatives. This is fast-moving territory. We want someone who enjoys an ambiguous, quick-shifting space, who forms opinions about what should be built and not only how, and who is comfortable working closely with our product teams and external partners. Prior experience with the Elastic product suite is not essential, but is beneficial. What You Will Be Doing You'll build and evolve the Elastic MCP server and the infrastructure behind it, working primarily in Go. You'll build the platform for universal agent skills: the portable format, the authoring and publishing tooling, and

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What Is The Role: We are on the lookout for a Senior Software Engineer to join our Elasticsearch - Distributed Systems team and focus on how Elasticsearch provides scale, performance, and resilience, especially in the context of our Serverless offering. You will be tackling deep distributed systems challenges in how nodes in an Elasticsearch cluster communicate, and how data are indexed, allocated, and managed across nodes. What You Will Be Doing: Leveraging your distributed systems expertise to build, and operate core pieces of our next-generation Serverless Elasticsearch offering, directly impacting the experience of customers worldwide. Improving Elasticsearch’s components that support concurrent and consistent indexing across multiple machines. Maintaining our cluster coordination system to keep performance high even though nodes come and go from the cluster and data moves around, while maintaining the safety and liveness properties of the system as a whole. Pushing the limits on the number of shards, nodes, and petabytes that Elasticsearch can handle today. Looking into all kinds of issues, including performance or concurrency issues, and proposing solutions. Supporting our support engineers with the harder problems. Owning operational investigations end-to-end, until performance or stability issues are successfully resolved. What You Bring: