Join Elasticsearch Performance team to lead architecture-to-production performance initiatives for Elasticsearch. Responsibilities include profiling and benchmarking distributed systems, developing performance models, driving optimizations (including for vector search and serverless), building AI-assisted automation for profiling and benchmarking, and mentoring engineers. The role requires deep Java/JVM knowledge, concurrency expertise, and experience with benchmarking tools such as JMH, Rally, and flamegraphs.

Lead architectural and code-level performance engineering initiatives for Elasticsearch, including profiling, benchmarking, regression detection, and automation. Requires deep Java/JVM knowledge, experience optimizing distributed systems (tools such as flamegraphs, JMH, Rally), and familiarity with vector search, serverless/stateful architectures, and integrating native libraries (C++/Rust/SIMD). Role includes mentorship and cross-team collaboration.

Lead performance engineering initiatives for Elasticsearch: design and implement high-impact architectural and code optimizations, develop performance models and benchmarks, profile and analyze distributed systems (logging, metrics, vector search, ES|QL), drive regression detection and automation (including AI-assisted tools), and mentor engineers. Role is based in Canada; posted base salary range is CAD 154,000–243,600 per year.

Join the Elasticsearch Performance team to design and implement performance improvements, build benchmarks and regression detection, profile and analyze system behavior (logging, metrics, vector search, ES|QL), and automate AI-assisted optimization and benchmarking workflows. Role requires deep Java/JVM knowledge, concurrency and distributed-systems experience, and familiarity with benchmarking tools (e.g., JMH, Rally).

Join the Elasticsearch Performance team to drive performance engineering initiatives: design and implement code- and architecture-level optimizations, build performance models and benchmarks, profile and analyze distributed system behavior (logging, metrics, vector search, ES|QL), and automate AI-assisted optimization and benchmarking workflows. Role emphasizes Java/JVM expertise, distributed-systems experience, and benchmarking tools such as JMH and Rally. Location: Canada.

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).

Elastic is hiring a Senior Software Engineer for the Integrations team to develop the MCP server, platform for portable agent skills, third-party AI ecosystem integrations, and developer-facing tools (language clients, CLI). Role emphasizes Go (with Rust and other languages), backend systems, AI/LLM/agent knowledge, developer experience, and collaboration with product teams and external partners. Requires 8+ years of software engineering experience.

Join Elastic's Integrations team to build developer-facing integrations (language clients, CLI, MCP server, third-party integrations) and the platform for portable agent skills. Work primarily in Go (and Rust), collaborate with product and external partners, focus on developer experience, and validate correctness through evaluations. Requires 8+ years of software engineering experience and knowledge of LLMs/agents, networking, and RESTful APIs. Role is based in Greece and part of a remote, globally distributed team.

Elastic is hiring a Senior Software Engineer for the Streams UI team to design and implement UI components for Fleet and Streams in Kibana. The role involves full-stack JavaScript (TypeScript, React, Node.js), owning end-to-end features, system design and architecture discussions, usability testing, code reviews, and async collaboration with a distributed team. Bonus experience includes Elastic Stack, observability, log/data-ingestion, Go, Kubernetes, and cloud-native development.

Join the Streams UI team to design and implement user-facing components for Fleet (Elastic Agent management) and Streams (log data handling) in Kibana. Work involves front-end development with TypeScript and React, integrating with back-end services (Node.js), owning end-to-end delivery of complex features, participating in architecture and design decisions, conducting usability testing and code reviews, and collaborating asynchronously with a distributed team. Bonus experience includes Elastic stack, observability, log ingestion, Go, Kubernetes, and cloud-native development.

Responsible for setting technical direction and owning designs for large-scale application networking in Elastic Cloud, including Ingress, private connectivity, DNS, and security controls. Will lead cross-organizational projects, improve performance/reliability/operability, participate in on-call and incident investigations, mentor engineers, and advise stakeholders. Bonus experience includes Kubernetes networking (Cilium, external-dns, Envoy Gateway, Crossplane) and major cloud providers (AWS, Azure, GCP).

Elastic is hiring a Principal Software Engineer on Platform Infrastructure — Application Networking to own architecture and delivery of ingress, private connectivity, DNS, and security controls for Elastic Cloud. The role requires designing and operating large-scale distributed, cloud-native systems, driving multi-organizational projects, participating in incident response and on-call rotation, and mentoring engineers.

Drive technical vision, architecture, and delivery for large-scale application networking and platform infrastructure used by Elastic Cloud. Own designs from proposal through general availability, lead cross-organizational projects, improve reliability and security, participate in incident response and on-call rotation, and mentor engineers.

Lead the architecture and delivery of large-scale application networking for Elastic Cloud (Ingress, private connectivity, DNS, security controls). Drive technical direction, lead cross-organizational projects, own incident investigations and participate in on-call rotation, mentor engineers, and partner with product and senior stakeholders. Requires experience designing and operating scalable networking platforms and cloud-native distributed systems; Kubernetes networking and major cloud provider experience are listed as bonuses.

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's self-service cloud growth team as a Senior Software Engineer working across backend and frontend to design and implement scalable features, APIs, and agentic onboarding interfaces. Role emphasizes React, TypeScript, Node.js (Hapi/Next.js), NoSQL (DynamoDB, Elasticsearch), Kibana, and production deployment; typical starting salary range is €67,000–€106,000 EUR per year.

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.

Join Elastic as a Senior Software Engineer on the self-service cloud growth team working on human user and agent onboarding and trial experiences. Responsibilities include full-stack development (frontend and backend), designing scalable features and APIs, integrating cloud and Kibana onboarding flows, and implementing data evolution strategies. Key technologies mentioned: React, TypeScript, Node.js (Hapi, Next.js), Elasticsearch, Kibana, DynamoDB, and Kubernetes.

Join the Elasticsearch Security team to architect, design, and implement core security features (authentication, authorization, tenant isolation) in Elasticsearch. The role requires deep Java and JVM knowledge, concurrent and high-performance thread-safe coding, distributed systems security expertise, cryptography familiarity, and collaboration with InfoSec and product teams. Compensation listed in CAD.