Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Principal engineer designing and building core security features for Elasticsearch, including authentication, authorization, and tenant isolation, at scale in a distributed system.
Principal engineer designing and building core security features (authentication, authorization, tenant isolation) for Elasticsearch’s distributed data store, ensuring high-performance security at scale.
Lead Elastic Security’s threat research agenda, set detection priorities, and serve as the public face of the team through publications, conferences, and media engagements.
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…
Architect and deliver Elasticsearch-based solutions for UK public-sector clients, designing scalable search and analytics platforms while leading high-level stakeholder engagements.
Senior Solutions Architect at Elastic advises NATO clients on technical solutions using the Elastic Stack, driving adoption of search, security, and observability tools while engaging with enterprise stakeholders.
Partner Solutions Architect at Elastic builds technical capacity in partners (SI, resellers, MSSPs) to sell and deliver Elastic’s search, security, and observability solutions, driving partner-sourced deals and co-innovating repeatable solutions.
Define and own the ITDR vision for Elastic Security, building identity threat detection and response features for human and non-human identities using AI/ML and behavioral analytics.
Build and optimize Elastic’s cloud networking layer (Ingress, DNS, private connectivity) using Go and Kubernetes tooling to scale secure, low-latency interactions with Elasticsearch and Kibana.
Senior Software Developer on the Elasticsearch Performance team, optimizing distributed search and AI retrieval systems through profiling, benchmarking, and code-level improvements in Java/JVM.
Senior Software Engineer on the Elasticsearch Performance team, profiling and optimizing a large-scale distributed search engine using Java/JVM, benchmarking tools, and AI-assisted workflows.
A Principal Software Developer focused on performance tuning for Elasticsearch, leading architectural and code-level performance engineering initiatives, optimizing distributed systems, and developing performance models and methodologies for complex systems.
Leads performance engineering for Elasticsearch, optimizing architecture and code to ensure high scalability, predictability, and predictability for search, observability, and AI retrieval systems used by Fortune 500 companies.
Lead performance engineering for Elasticsearch—architectural and code-level optimization, profiling, benchmarking, and building AI-assisted tools across a large-scale distributed search engine. Core tech: Java, JVM, Elasticsearch.
Leads strategy and roadmap for Elastic’s embedding/reranking and vector database technologies, shaping AI-driven search solutions for Fortune 500 clients. Bridges technical teams (engineering/research) to define metrics (recall, latency, cost) and align product vision with market demands.
This Senior Software Engineer role involves designing and implementing intuitive UI components for the Elastic Search AI Platform using TypeScript, React, and Node.js. The engineer will lead end-to-end technical projects, collaborate with a distributed team, and focus on enhancing user experience for data-heavy management tools like Fleet and Streams.
We couldn't check your fit for this role — add a CV to your profile to see it next time.