Join the Elasticsearch Performance team to develop and ship performance engineering work across the stack: implement architectural and code-level optimizations, build performance models and benchmarks (stateful and serverless), profile distributed systems, and automate benchmarking workflows including AI-assisted tooling. Requires deep Java/JVM and distributed-systems expertise.

Join the Elasticsearch Performance team to design and implement performance improvements, build performance models and benchmarks, profile and analyze distributed system behavior, and collaborate across teams to ensure Elasticsearch is performant, predictable, and scalable. Role emphasizes Java/JVM internals, concurrency, benchmarking (JMH, Rally), vector search, and automation including AI-assisted optimization.

Lead the design and delivery of core security features in Elasticsearch, including authentication, authorization (scalable RBAC/ABAC), tenant isolation, cryptographic solutions, and performance optimization for distributed systems. Collaborate with engineering and product leaders, drive vulnerability management (including AI-assisted triage), and mentor other engineers.

Work on the Elasticsearch Inference API and plugin: design protocols, implement streaming (SSE) and async execution, handle schema negotiation, rate limiting, chunking and billing integration. Collaborate with the wider inference and Kibana teams, participate in on-call rotation, review OSS contributions, and write unit and integration tests. Requires 5+ years production Java experience.

Work on the Elasticsearch Inference API and plugin framework to integrate internal and external inference providers (including Elastic Inference Service and third parties). Responsibilities include protocol design, streaming (SSE), async execution, billing integration, rate limiting, reviewing contributions, participating in on-call rotation, and writing unit and integration tests. Requires 5+ years of production Java experience. Typical salary range: €55,800–€88,300 EUR/year.

Join Elastic's Elasticsearch Inference API team to develop and maintain the plugin framework and REST API that integrate Elasticsearch with internal and external inference providers (including EIS, Anthropic, OpenAI, Cohere, Google). Work includes protocol design, streaming (SSE), async execution, billing integration, rate limiting, testing (ESTestCase, YAML REST integration, rolling-upgrade), code reviews, and participating in on-call rotation. Requires 5+ years production Java experience and strong knowledge of core Java, concurrency, and API design.

Join the Elasticsearch Inference team to build and maintain integrations with internal systems and external ML providers, develop the inference plugin and REST API (protocol design, streaming, async execution), implement task/settings/rate limiting, participate in on-call rotation, and write thorough tests. Requires 5+ years production Java experience and familiarity with core Java, concurrency, API design, and experience contributing to large codebases. Typical starting salary range: €87,300–€138,100 EUR/year.

Join the Elasticsearch inference team to maintain and develop the Inference API and plugin framework that integrates Elasticsearch with internal and external ML providers. Responsibilities include building provider integrations, protocol and API work (streaming/SSE), rate limiting, billing integration, writing tests (ESTestCase, YAML REST integration, rolling-upgrade), reviewing contributions, and participating in on-call rotations. Requires 5+ years production Java experience and familiarity with concurrency, API design, and Java build tools.

Senior IC role on IT Software Engineering to design, develop, and operate full-stack internal applications and conversational AI bots. Requires 8+ years experience with React, TypeScript, Node.js, Elasticsearch/Kibana, LLMs/RAG/vector search, CI/CD, testing (unit and e2e), feature flags, and participation in on-call rotations. Located in the United States. Base salary range listed at $133,100–$210,600 USD/year.

Role requires 8+ years building backend systems, services or libraries. Work includes developing the MCP server and infrastructure (primarily in Go), portable agent skills format and tooling, integrations with third‑party AI ecosystems, and contributions to the Elastic CLI. Experience with LLMs/agents, HTTP/REST APIs, Go (and ideally other languages such as Rust), and a focus on developer experience and product thinking are required.

Work includes designing and implementing features for Logstash and its plugins (Java/JRuby), building and operating Streams backend services in Golang, contributing to the OpenTelemetry Collector, solving distributed systems problems at scale, maintaining code and tests, participating in on-call rotation, and engaging with public GitHub repositories and community forums.

Join the Streams Backend team to design and implement features for Logstash and backend services, contribute to the OpenTelemetry Collector, solve distributed systems problems at scale, maintain and improve existing code, participate in PR reviews and an on-call rotation. Role is remote-first and the base salary range is €61,100–€96,600 per year.

Work on Elastic's Streams backend and Logstash: design and implement features in Java and JRuby, build and operate core backend services in Golang, contribute to the OpenTelemetry Collector, maintain and improve existing code, solve distributed-systems problems at scale, participate in on-call rotation, and collaborate with a distributed team. Salary range: 307,800–486,900 PLN (base).

Join the Streams Backend team to design, build and operate core backend services and Logstash features. Work includes developing in Java, Golang and JRuby, contributing to the OpenTelemetry Collector, solving distributed systems problems at scale, maintaining code and tests, participating in on-call rotations, and engaging with public GitHub repositories and community forums.

Lead technical direction for Elastic's Billing Core: design and operate large-scale billing and account management systems across AWS/GCP/Azure. Responsibilities include building data pipelines, owning PostgreSQL architecture, improving observability and reliability, guiding API and data model design, mentoring engineers, and participating in on-call rotations. Requires 8+ years of backend/platform engineering experience with strong Python, PostgreSQL, and cloud infrastructure skills.

Join the Integrations team to design, build, and maintain Elastic's developer-facing integrations (language clients, CLI, MCP server, third-party integrations, and agent skills). The role focuses on Go (and other languages such as Rust), correctness via evaluations, RESTful APIs, and collaboration with product teams and external partners. Requires 8+ years of backend engineering experience and strong developer experience and product thinking.

Join Elastic's IT team to design and implement UX and high-performance front-end applications for internal generative AI products. Responsibilities include translating complex AI processes into intuitive interfaces, building scalable component libraries, implementing streaming and async UI patterns, integrating with Elastic services (ESRE, RAG, agent APIs), ensuring accessibility and design-system alignment, and maintaining documentation and UX analytics.

Join the Elasticsearch core/infra team to design and implement foundational, horizontally scalable features and shared platform functionality (services, settings, scripting, plugins) in Java. Responsibilities include solving performance and concurrency issues, improving observability and CI/CD workflows, supporting operations and on-call investigations, and leading cross-team projects. Typical starting salary range: €61,100–€96,600 (base salary).

Join the Elasticsearch Core/Infra team to design and implement foundational, horizontally scalable platform features and APIs, improve observability and performance, automate developer workflows, and lead cross-team projects. The role requires strong Java skills (including low-level topics such as concurrency and classloaders), experience with CI/CD and cloud-native tooling, and familiarity with observability and performance debugging.

Work on foundational infrastructure and shared functionality for Elasticsearch (services, settings, scripting, logging/telemetry, orchestration). Design and implement horizontally scalable features and APIs, solve performance and concurrency issues, improve observability, own operational investigations, and lead cross-team projects. Requires strong core Java skills, experience with concurrency and low-level Java, API design, algorithms/data structures, CI/CD practices, and experience with observability and cloud/serverless environments.