Senior Software Engineer role on the Elasticsearch core/infrastructure team (based in the United Kingdom). The role involves designing and implementing core, horizontally scalable features and APIs for Elasticsearch, improving developer productivity and automation, diagnosing and resolving performance and stability issues, and contributing to CI/CD, observability, and serverless orchestration for cloud and on‑premise deployments.

Work on foundational infrastructure and shared functionality for Elasticsearch (services, settings, scripting, plugins, logging/telemetry, orchestration). Design and implement scalable features and APIs, diagnose and resolve performance/concurrency issues, improve observability and CI/CD workflows, and lead cross-team projects. Requires strong core Java skills, systems design, and experience with CI/CD and observability tools.

Join the Elasticsearch core/infra team to design and implement horizontally-scalable features and shared platform functionality (services, settings, scripting, observability). Work on performance, concurrency, CI/CD/DevOps workflows, serverless/cloud/on-prem orchestration, and cross-team projects while supporting operational investigations and developer productivity.

Join Elastic's Context Engine team to lead end-to-end improvement of agentic behavior in production: implement and ship TypeScript/Python production code, design telemetry and evaluations, iterate on prompts/skills/tools safely, and partner with data scientists, backend engineers and product. The role requires 10+ years of software engineering experience with recent experience shipping and operating AI-driven products and services.

Own end-to-end improvement loop for the Context Engine that serves AI agents from Elasticsearch: design telemetry and evaluation, iterate on prompts/skills/automations safely, and ship production code. Requires 10+ years of software engineering experience shipping AI-driven production products, strong backend skills in TypeScript or Python, familiarity with agent frameworks, retrieval/memory, MCP, and practical Elasticsearch experience. Typical starting salary range: €104,800–€165,700 EUR.

Join the Elasticsearch Search Infra team as a Principal Software Engineer to define and implement core search and indexing capabilities, drive technical vision, and collaborate across teams. The role requires deep expertise in search internals (Elasticsearch/Lucene/Solr), strong Java and data-structure skills, experience with large-scale distributed systems, and leadership/mentoring experience.

Senior engineering role contributing to Elasticsearch core search infrastructure. Responsibilities include researching and evolving indexing and retrieval algorithms, defining long-term technical vision, leading cross-team initiatives, mentoring engineers, and contributing to Lucene/Elasticsearch. Role is distributed and based in Ireland; compensation range provided.

Seeking a Principal Software Engineer on the Elasticsearch Search Infra team to provide technical vision and contribute to core search infrastructure (indexing, query execution, retrieval, and relevance). Requires deep expertise in search internals (Elasticsearch, Lucene, Solr), strong Java skills, experience with distributed and large-scale search systems, and experience leading and mentoring engineers while collaborating across distributed teams. Role is full-time and based in Greece.

Elastic is hiring a Principal Software Engineer for the globally distributed Elasticsearch Search Infra team in Portugal. The role defines technical vision and leads development of core search infrastructure—indexing, retrieval, query execution, and relevance—requiring deep experience with search technologies (Elasticsearch, Lucene, Solr), Java, and distributed systems, plus mentoring and cross-team collaboration.

Lead and contribute to the evolution of Elasticsearch core search and indexing capabilities. Research search infrastructure, data structures, and retrieval algorithms; define long-term technical vision; collaborate across product and engineering teams; mentor engineers. Requires hands-on experience with large-scale search systems (Elasticsearch, Lucene, Solr), strong Java skills, and expertise in search internals and distributed systems.

Join the Elasticsearch Search Infra team as a Principal Software Engineer to define technical vision and build core search capabilities (indexing, retrieval, relevance). The role requires deep expertise in search internals (Elasticsearch, Lucene, Solr), strong Java skills, experience with distributed systems and large-scale search platforms, and cross-team collaboration and mentoring. Position is based in Norway with a provided typical annual salary range in NOK.

Hiring a Principal Software Engineer to provide technical vision and lead development of Elasticsearch's core search infrastructure including indexing, query execution, and relevance. Role requires deep expertise in search internals, large-scale/distributed search systems (Elasticsearch, Lucene, Solr), strong Java skills, experience mentoring engineers, cross-team collaboration, and contributions to open source workflows. The team is globally distributed and works via email, GitHub, Zoom, and Slack.

Principal Software Engineer role on the globally distributed Elasticsearch Search Infra team based in Poland. The role provides technical vision and direction for core search infrastructure (indexing, retrieval, relevance), requires deep expertise in search internals (Elasticsearch/Lucene/Solr), strong Java skills, and experience with large-scale distributed systems. The position involves cross-team collaboration, mentoring senior engineers, and contributing to the evolution of Elasticsearch's search capabilities.

Senior role contributing to Elasticsearch core search infrastructure (indexing, retrieval, relevance). Requires deep expertise in search internals, large-scale search/distributed systems, core Java, data structures and concurrency, and experience leading technical projects, mentoring engineers, and defining long-term technical vision. Position is distributed; typical starting salary range provided in CAD.

Senior engineering role on the globally distributed Elasticsearch Search Infra team responsible for defining technical vision and building core search and indexing capabilities. Requires deep expertise in search internals, large-scale search or distributed systems, hands-on experience with Elasticsearch/Lucene/Solr, strong Java and data-structures/concurrency skills, and experience leading and mentoring engineers while collaborating across teams.

Join the Managed Inputs team within Observability to design, implement, deploy and maintain scalable, reliable ingestion features (mOTLP endpoints, agentless integrations) across cloud providers. The role requires strong Go skills, experience with Kubernetes, Terraform and Kafka, familiarity with observability (tracing, metrics, logs, profiling), participation in on-call rotations, mentoring peers, and ownership of system stability (SLIs/SLOs and incident response).

Work on the Managed Inputs team within Elastic's Observability Streams program to design, implement, deploy, and maintain scalable backend ingestion features (mOTLP endpoints, agentless integrations) across major cloud providers. The role emphasizes Go development, Kubernetes, Terraform, Kafka, observability, SLI/SLOs, on-call rotations, troubleshooting escalations, and collaboration across a distributed team.

Join Elastic's Observability Streams Managed Inputs team to design, implement, deploy and maintain high-performance backend ingestion pipelines (handling telemetry from Elastic Agents, agentless setups, OpenTelemetry, and cloud sources). Role involves ownership from design to delivery, mentoring through code reviews, on-call rotation, building SLIs/SLOs, and providing engineering-level support. Position is remote/distributed with the role listed for Poland; annual base salary range provided (307,800–486,900 PLN).

Join Elastic's Observability Streams program to design, implement, deploy and maintain high-performing, scalable backend features for Managed Inputs and Managed Integrations. Responsibilities include owning projects end-to-end, supporting escalated customer cases on rotation, monitoring SLIs/SLOs, being on-call, and mentoring peers. Required skills include intermediate-to-expert Go, Kubernetes, Terraform, Kafka, observability (tracing/metrics/logs/profiling), microservices and distributed systems; experience with OpenTelemetry and Elastic Stack is a plus.

Join the Observability Streams program to design, implement and maintain high-performing, scalable backend ingestion features (Managed Inputs and Managed Integrations) that collect telemetry from agents, collectors and cloud sources and route it to Elasticsearch/Kibana. Requires strong Go skills, experience with Kubernetes, Terraform, Kafka, observability (tracing/metrics/logs/profiling), distributed systems, and participation in on-call rotations and support escalations.