Fully remote Senior Software Engineer role on the Elasticsearch Storage Engine team focused on storage efficiency, indexing, query processing, and performance optimization for observability workloads (logs and metrics). Responsibilities include leading architectural evolution, driving cross-organizational initiatives, mentoring, and collaborating with a globally distributed engineering and open-source community. Salary range provided: EUR 85,600–135,500 (base).

Join the globally distributed, fully remote Elasticsearch Storage Engine team to lead architectural evolution and performance optimization of core storage and query components for observability workloads (logs & metrics). The role emphasizes Java development, storage/indexing/query performance, distributed systems, and collaboration across teams and the open-source community. Typical starting salary range: €67,000–€106,000 EUR (base).

Fully remote Senior Software Engineer role on the globally distributed Elasticsearch Storage Engine team. Responsibilities include leading architectural evolution of core storage components, resolving performance bottlenecks in indexing and serialization, improving storage layouts for object storage, driving cross-organizational initiatives for observability, mentoring engineers, and contributing primarily in Java. Role emphasizes experience with high-performance databases/search/distributed systems and time-series or logs data.

Remote role based in Norway on a globally distributed team building Elasticsearch core storage and query technologies for observability workloads (logs and metrics). Responsibilities include evolving storage engine architecture, improving indexing and serialization, optimizing performance for object storage, mentoring peers, and collaborating on cross-organizational initiatives. Requires strong Java, storage/indexing, performance optimization, and distributed systems experience.

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.

Remote Principal Software Developer role (based in Canada) responsible for leading architecture and design of Elasticsearch's core storage and query engine, improving storage efficiency and query performance for logs and metrics workloads, and mentoring engineers. Requires strong Java, storage/indexing, and distributed systems experience. Salary range listed: 154,000–243,600 CAD per year.

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.

Lead the design and architecture of Elastic's agent layer for the Streams observability platform, evaluate and implement technologies to improve performance, run architectural reviews, provide technical guidance, conduct code reviews, and coordinate with product and stakeholders. Requires proven technical-lead/principal experience on agent or systems-level projects at scale, deep knowledge of observability data collection and protocols (OTLP, Prometheus Remote Write, syslog), and strong Go experience.

Lead the architecture and technical direction of Elastic's agent layer (Elastic Agent/Beats) to support the Streams platform. Responsibilities include design and technology evaluation, architectural reviews, cross-team coordination, mentoring, writing design docs/ADRs, and driving large multi-team initiatives focused on observability data collection and distributed deployments.

Lead the Agent Framework team to design scalable agent-layer architecture, evaluate technologies for performance, drive architectural decisions, and mentor engineers. Requires proven experience as a technical lead or principal engineer on agent/daemon or systems-level software at scale, deep knowledge of observability data collection and protocols (OTLP, Prometheus Remote Write, syslog), and strong Go experience. Bonus experience includes Elastic Agent/Fleet/Beats, OpenTelemetry collector internals, cross-platform testing, and infrastructure-as-code tooling.

Lead the architecture and technical direction for Elastic's agent layer (Elastic Agent and Beats) within the Streams program. Responsibilities include designing scalable architectures, evaluating technologies, leading architectural reviews, mentoring engineers, conducting code reviews, collaborating with product and stakeholders, and driving multi-team initiatives. Requires proven technical lead experience on agent/daemon or systems-level projects, deep observability knowledge (metrics, logs, traces, OTLP, Prometheus Remote Write, syslog), and strong Go experience. Salary range (typical starting) listed as $159,800–$252,800 USD per year.

Senior/principal individual contributor role focused on defining and implementing Elasticsearch core search infrastructure (indexing, retrieval, relevance). Requires deep expertise in search internals, large-scale/distributed systems, Java, data structures, concurrency, and experience with Elasticsearch/Lucene/Solr. Role involves cross-team collaboration, technical leadership, mentoring, and contributing to open-source codebases.

Lead and contribute to Elasticsearch core search and indexing capabilities, research search infrastructure and retrieval algorithms, define long-term technical vision across teams, mentor engineers, and deliver high-performance, large-scale search systems. Requires hands-on experience with Elasticsearch/Lucene/Solr, strong Java skills, and experience in distributed systems and search internals.

Role focused on delivery and senior stakeholder engagement with Public Sector customers in Germany. Responsibilities include solution design and integration of Elastic products, platform architecture, data modelling, query optimization, cluster tuning and scaling, developing demos/PoCs, and collaborating with engineering and sales. Requires fluency in German, current or prior German security clearance, and a minimum of 5 years’ consulting experience.

Lead and implement vector search features and enhancements in Elasticsearch (including work related to Lucene and vector similarity algorithms such as HNSW and IVF). Contribute code, fix bugs, design algorithms and data structures, collaborate with a globally distributed engineering team and the open-source community. Role is Java-heavy and focused on search relevance and performance. Reported typical starting salary range: €80,400–€127,200 EUR per year.

Join the globally distributed Elasticsearch Search team to design, implement, and improve vector search and similarity features (including work in Lucene). The role requires strong core Java skills, experience with vector databases/algorithms (HNSW, IVF), distributed systems knowledge, and the ability to drive projects end-to-end while collaborating asynchronously with a global engineering community.

Hiring a Principal Software Engineer to lead development of vector search and vector database capabilities in Elasticsearch. The role involves designing and implementing vector search features, improving search relevance and performance, working with Lucene, contributing to open-source, and collaborating with a distributed engineering team. Strong Java, algorithms, and prior experience with vector similarity/HNSW/IVF and search platforms are emphasized.

Senior technical role contributing to Elasticsearch core search infrastructure (indexing, retrieval, relevance) and improving Lucene. Responsibilities include defining technical vision, leading and contributing to large-scale search systems, researching data structures and retrieval algorithms, collaborating across distributed teams, mentoring engineers, and participating in open source workflows. Strong experience with Elasticsearch/Lucene/Solr, core Java, concurrency, and large-scale distributed systems is required.