Jobs at Elastic

The role involves serving as a technical authority to sales teams and customers, understanding business needs, and effectively articulating how Elastic's offerings meet those needs while educating partners and contributing to sales strategies.

The Principal Software Engineer will enhance vector similarity search functionality in Elasticsearch, lead initiatives, improve search algorithms, and collaborate with a distributed team.

Design, implement, and optimize Elasticsearch core storage and query engine components for logs/metrics workloads. Lead architecture, resolve performance bottlenecks, improve storage efficiency and query execution, mentor engineers, collaborate across distributed teams, triage community issues, and write idiomatic modern Java.

Lead development of core Elasticsearch infrastructure and shared platform features. Design scalable APIs, solve performance and concurrency issues, improve observability and CI/CD, support cross-team projects, and own operational investigations end-to-end.

Drive architecture and design of Elasticsearch core storage and query engine for logs and metrics. Improve storage efficiency, indexing layouts, serialization, and performance; lead cross-team initiatives; mentor engineers; triage community issues; and write idiomatic modern Java.

The Senior Java Developer will enhance Elasticsearch's distributed systems, maintain high performance, and solve complex problems related to data indexing and coordination across multiple machines.

Design, implement, and maintain Elasticsearch distributed-systems components to ensure scalable, performant, and resilient indexing, coordination, replication, and cluster communication. Diagnose and fix concurrency and performance issues, push scalability limits, and lead projects end-to-end while supporting support engineers and mentoring engineers across multi-node deployments.

Lead competitive intelligence for Search: build CI program, analyze competitors, produce enablement materials and external content, support win/loss, collaborate with product, sales, and marketing to shape positioning and GTM strategies.

The role involves driving sales strategy for Elastic's solutions within the Canadian Defence sector, focusing on mission-critical operations and relationships with defence leaders.

Lead vision, strategy, and execution for the Elastic Agent Builder to enable scalable context for AI agents. Engage enterprise customers and sales to capture requirements, define roadmap for context engineering, benchmark agent capabilities with data science, design UX for context refinement, and evangelize capabilities to partners and the developer community.

Define, lead, and implement core Elasticsearch search and indexing capabilities. Research search data structures and retrieval algorithms, set long-term technical vision, collaborate across teams, mentor engineers, and build high-performance, large-scale search systems.

Lead product efforts for logs and logs analytics within Elastic Observability. Evolve logs collection, ingest, management, and analytics features (GenAI integration, automated SLO/SLI, intelligent alerting, correlation of logs/metrics/traces). Collaborate with engineering, UX, design, sales and marketing to drive adoption and track user feedback.

Lead cross-functional programs across Field Engineering and Support to design and deliver operating models, planning rhythms, and execution standards. Coordinate fiscal planning (headcount, quota, territory), identify automation opportunities, partner with Sales Ops/IT/Finance, and establish communication, documentation, and training to drive adoption and durable process improvements.