Join the Elasticsearch Security team to design and implement core security features (authentication, authorization, tenant isolation) in the Elasticsearch engine. The role emphasizes JVM/Java internals, high-performance and concurrent coding, distributed systems security, cryptography (including TLS/PKI and PQC awareness), identity protocols (OAuth 2.0, SAML), and vulnerability management, with use of AI-driven tools to accelerate workflows.

Role for a Senior Software Engineer on the Elasticsearch Security team focusing on architecture, design, and implementation of core security features (authentication, authorization, tenant isolation), cryptographic solutions, and performance at scale in distributed systems. Requires strong Java/JVM and concurrency skills, experience with distributed security, identity protocols (OAuth 2.0, SAML), and familiarity with vulnerability management and security compliance considerations.

Join the Elasticsearch Security team as a Senior Java engineer contributing to architecture and implementation of core security features (authentication, authorization, tenant isolation), optimizing security performance in distributed systems, applying cryptographic solutions, and driving vulnerability management. The role emphasizes JVM/Java internals, concurrency, and integrating AI-driven tools to accelerate security workflows.

Join the Streams UI team to design and implement UI components and integrate front-end elements with back-end services for Fleet and Streams (log ingestion, parsing, enrichment, retention). Responsibilities include end-to-end ownership of complex problems, architecture and system design, coding standards, automated testing and deployment, code reviews, and async collaboration with a distributed team.

Role involves developing and implementing architectural and code-level performance improvements for Elasticsearch, building performance models and benchmarks, profiling and analyzing system behavior (logging, metrics, vector search, ES|QL), ensuring regression detection for stateful and serverless deployments, and contributing automation including AI-assisted optimization harnesses. Requires deep Java/JVM knowledge, concurrency and multithreaded programming, experience with benchmarking tools (e.g., JMH, Rally), and familiarity with distributed systems and large-scale data store internals.

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.

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 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.

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.

Lead engineering work across agents, automations and skills for the Context Engine: ship TypeScript/Python production code, design telemetry and evaluation strategies, iterate on prompts/skills/memory safely, and partner with data scientists and product to measure and improve agent behavior.

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.

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 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.