Join Elastic's Integrations team to design and build developer-facing integrations that make Elastic available inside third-party AI ecosystems. Responsibilities include developing the Elastic MCP server and platform for portable agent skills, authoring/publishing tooling, linting and eval-backed correctness, contributions to the Elastic CLI, and building libraries/tools in Go and Rust. The role requires 8+ years of backend engineering experience, proficiency with AI/ML frameworks and understanding of LLMs/agents, strong product thinking and focus on developer experience. Typical starting salary range: €87,300–€138,100 EUR per year.

Join the Integrations team to build and maintain the Elastic MCP server, tooling for portable agent skills, integrations into third-party AI ecosystems, and developer-facing surfaces (language clients, CLI, libraries). Role requires ~8+ years backend/software engineering experience, significant recent Go experience (and ideally other languages such as Rust), familiarity with LLMs/agents/MCP, HTTP/REST APIs, focus on evaluation-backed correctness, and strong product and developer-experience orientation. Position is for candidates in Portugal (distributed, remote-friendly).

Role requires designing and implementing Elastic integrations into third-party AI ecosystems, building and evolving the MCP server and tooling for portable agent skills, contributing to Elastic CLI and libraries, working primarily in Go and Rust, and collaborating with product teams and external partners. Requires 8+ years backend engineering experience and familiarity with LLMs, agents, HTTP/REST APIs and software engineering best practices.

Join the Integrations team to design, build and maintain developer-facing surfaces connecting Elastic to AI ecosystems: MCP server, portable agent skills format, authoring/publishing tooling, linting, CLI, language clients and third-party integrations. Role emphasizes Go (primary), Rust (also used), backend services, HTTP/REST APIs, LLMs/agents/MCP knowledge, eval-driven correctness, product thinking and collaboration with external partners. Based in Athens, Greece; 8+ years software engineering experience required.

Elastic is hiring a Java Developer II for the AutoOps Backend team. The role requires 3+ years of Java experience and involves writing maintainable Java code, implementing RESTful services, integrating ELK stack components (Elasticsearch, Logstash, Kibana), troubleshooting performance and concurrency issues, and conducting operational investigations. The position is flexible within Canada. Typical starting salary range listed: 106,900–156,900 CAD/year. Benefits and participation in Elastic's stock program are mentioned in the posting.

The role is a senior full-stack engineering position on the self-service cloud growth team working on user and agent onboarding and trial experiences. Responsibilities include designing and implementing frontend and backend features and APIs, collaborating with PMs and designers, integrating cloud and Kibana onboarding flows, and managing data evolution strategies. Key technologies mentioned include React, TypeScript, Node.js (Hapi/Next.js), NoSQL (DynamoDB, Elasticsearch), Kibana, and Kubernetes.

Join Elastic as a Senior Software Engineer on the self-service cloud growth team to build front-end and back-end features for onboarding and trial experiences. Work includes designing scalable features and APIs, implementing agentic onboarding interfaces, integrating cloud and Kibana onboarding flows, and designing data evolution strategies. The role emphasizes React, TypeScript, Node.js (Hapi/Next.js), NoSQL (DynamoDB), Elasticsearch/Kibana, and production deployment practices. Location: Portugal. Salary range (typical starting): €55,800–€88,300 per year.

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.

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.

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, 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 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.

Own and ship full-stack features for elastic.co, including React components, backend services, CI/CD pipelines, and production operations (on-call, monitoring, logging). Requires 3+ years in full-stack or frontend roles with strong TypeScript and React experience and hands-on backend experience (Node.js, Python, or Go); responsibilities include performance instrumentation, security triage, and production debugging.

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.

Join a globally distributed, fully remote team to design, implement, and optimize Elasticsearch's core storage and query engine. The role emphasizes high-performance, scalable systems (storage, indexing, query processing), strong Java skills, distributed systems experience, and collaboration across open source and internal teams.

Fully-remote Principal Software Engineer role focused on designing and evolving Elasticsearch's core storage and query engine for observability workloads (logs and metrics). Responsibilities include performance and storage optimization, cross-organizational technical leadership, mentoring, code review, and collaborating with a global distributed team. Requires strong Java, distributed-systems, and storage/query design experience; familiarity with databases/search engines and time-series/logs data is expected.

Join the Elasticsearch Core/Infra team to design and implement foundational infrastructure and shared features (services, settings, scripting, plugins), improve observability and performance, own operational investigations, and lead cross-team projects. Role emphasizes strong Java skills, low-level systems knowledge (concurrency, classloaders, JDK internals), CI/CD experience, and use of observability/telemetry tools.

Join the Elasticsearch Core/Infra team as a Senior Java developer to design and implement horizontally scalable features and APIs, improve developer productivity via automation, address performance and concurrency issues, enhance observability and telemetry, and own operational investigations. Role expects strong core Java, concurrency, API design, CI/CD, and Elasticsearch experience. Compensation is base salary with a listed typical starting range of 128,300 — 203,000 CAD per year.