Lead technical development of search and relevance features for Elasticsearch with a focus on vector search (HNSW, IVF) and high-performance Java code. Work is on a globally distributed team contributing to Elasticsearch and Lucene, handling feature design, bug fixes, algorithm and data-structure implementations, and collaborating via GitHub/async workflows. Typical salary range listed.

Lead technical initiatives to design and implement search and relevance features in Elasticsearch, including vector search using algorithms like HNSW and IVF. Work collaboratively on a globally distributed team, contribute to Lucene and open source, write idiomatic modern Java, and own complex design and implementation tasks. Compensation range provided in EUR.

Lead technical work on Elasticsearch search relevance and vector search features, contributing to Lucene and implementing algorithms/data structures (e.g., HNSW, IVF). Role requires strong Java skills, experience with search and data storage technologies, and working in a globally distributed, open-source development environment.

Technical lead responsible for designing and implementing search features and relevance improvements in Elasticsearch (Java). Work includes vector search (HNSW, IVF), algorithms and data structures, fixing bugs, collaborating with a globally distributed team, contributing to open source, and engaging with community pull requests and issues.

Elastic seeks a Software Engineer II (Full Stack) to build and operate elastic.co features end-to-end. Responsibilities include React/TypeScript frontend development, backend services (Node.js/Python/Go), CI/CD and deployment automation, performance instrumentation (Core Web Vitals, RUM), logging/metrics/tracing, security vulnerability triage, and participating in on-call rotation. Requires 3+ years of relevant experience.

Join the globally distributed Elasticsearch Search Relevance team to design and implement new search features, improve relevance (including Lucene contributions), work on vector search (HNSW/IVF), fix bugs, and collaborate on open source projects. The role emphasizes modern Java development, distributed systems, algorithms, and asynchronous/global collaboration.

Join the globally distributed Elasticsearch Search Relevance team to design and implement new search features, improve relevance (including work touching Lucene), and work on vector search capabilities. The role requires strong Java skills, experience with search or vector databases (HNSW, IVF, etc.), algorithm and data structure knowledge, and collaborative development in open source and distributed teams.

Work on Elasticsearch's Search Relevance team (based in Ireland) to design and implement search features, improve relevance (including contributions to Lucene), and develop vector search capabilities (HNSW, IVF). The role involves writing idiomatic modern Java, collaborating with a globally distributed team, triaging and handling community pull requests, and contributing to open-source workflows.

Join the globally distributed Elasticsearch Search Relevance team to design and implement search features and improvements (including work in Lucene and vector search), debug and optimize systems, and contribute to open source. Requires strong Java skills, experience with search/vector databases and algorithms (HNSW, IVF), and familiarity with data storage technologies and distributed collaboration.

Join the globally distributed Elasticsearch Search Relevance team to design and implement search features and algorithms (including vector search/HNSW/IVF), improve relevance, fix bugs, and collaborate on open-source code in Java. The role emphasizes autonomous engineering, code review, and distributed/asynchronous collaboration.

Join the globally distributed Elasticsearch Search Relevance team to design and implement search features, improve relevance (including Lucene work), build vector search capabilities, and fix complex bugs. Role requires strong Java skills, experience with search or vector databases (HNSW/IVF), data structures, concurrency, distributed systems, and collaboration on open-source projects.

Join the Elasticsearch Security team to contribute to architecture, design, and implementation of core security features (authentication, authorization, tenant isolation) in Elasticsearch. Responsibilities include designing scalable authorization systems, optimizing security performance in distributed environments, applying cryptographic solutions, and driving vulnerability management in collaboration with InfoSec. Role expects strong Java/JVM knowledge, concurrency and distributed-systems security experience, and familiarity with identity protocols such as OAuth 2.0 and SAML.

Join the Elasticsearch Security team to design and implement core security features (authentication, authorization, tenant isolation), optimize security performance in distributed environments, apply cryptographic solutions, and drive vulnerability management. Role emphasizes Java/JVM expertise, concurrency, distributed systems security, identity protocols (OAuth2/SAML), and collaboration across engineering and product teams. Location: Canada.

Lead architecture and implementation of core Elasticsearch security features, including authentication, authorization (RBAC/ABAC), tenant and data isolation, cryptographic solutions, and performance optimization in distributed systems. Collaborate with product and InfoSec teams on vulnerability management, leverage AI-assisted tools to accelerate development and triage, and mentor other engineers. Requires deep Java/JVM knowledge, concurrency and distributed systems security experience, and familiarity with identity protocols (OAuth 2.0, SAML).

Lead architecture, design, and implementation of major security components in the Elasticsearch core engine, including authentication, authorization (scalable RBAC/ABAC), token validation, and data isolation. Optimize security performance for distributed systems, apply cryptographic solutions, drive vulnerability management with InfoSec, and mentor other engineers. Role lists a CAD base salary range and is based in Canada.

Elastic seeks a Software Engineer II (full-stack) to build and own features on elastic.co: React/TypeScript front-end work, backend services (Node.js, Python, or Go), CI/CD and deployment pipelines, performance instrumentation (Core Web Vitals, RUM), logging/metrics/tracing, security vulnerability triage, and on-call production support. Location: Portugal. Salary range provided: €46,500–€73,600 EUR (base).

Join Elastic as a Software Engineer II on the Web Engineering team to build and operate features across the full stack for elastic.co. Responsibilities include React/TypeScript frontend work, backend services (Node.js/Python/Go), CI/CD, performance instrumentation (Core Web Vitals), observability, security triage, and participating in on-call rotations. Location: Greece.

Fully-remote senior role on the Elasticsearch Storage Engine team responsible for evolving core storage components, resolving performance bottlenecks in indexing/layouts/serialization, improving query execution, and collaborating across a distributed engineering organization. Requires strong Java skills, experience with storage or search systems, and background in distributed systems, indexing, and performance optimization.

Join the globally distributed Elasticsearch Storage Engine team to lead architecture and performance improvements for indexing, storage layouts, serialization, and query execution. The role requires strong Java skills, experience with storage or distributed systems, and working across distributed teams to drive cross-organizational initiatives and mentor others.

Join the distributed Elasticsearch Storage Engine team to design, implement, and optimize core storage and query technologies for observability workloads. The role emphasizes high-performance Java development, storage/indexing design, query execution, performance tuning, and collaboration across a global engineering organization.