Jobs at Elastic

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.

Provide in-house product and IP legal counsel across patent prosecution, IP portfolio management, brand protection, open-source licensing, and product launch readiness. Support invention harvesting, draft and review IP-related commercial contract clauses, assist with AI governance and trade compliance, conduct legal research and diligence, and collaborate cross-functionally with engineering, product, privacy, and commercial teams.

Develop and maintain Java backend services for AutoOps, integrate ELK stack and third-party APIs, implement RESTful services, write tests, investigate and resolve performance, concurrency, and stability issues, and support cross-functional teams while leveraging AI tools to accelerate development and debugging.

Lead vision, strategy, and roadmap for Identity Threat Detection & Response (ITDR) in Elastic Security. Define detection, investigation, and response for human and non-human identities, collaborate with threat research, data scientists, and engineers, and build identity-focused analyst workflows across SIEM and XDR. Engage customers, evangelize product capabilities, and drive enterprise-grade integrations and automated containment with human oversight.

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.

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.

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 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.

Lead design and implementation of advanced search and vector features for Elasticsearch. Invent or implement algorithms and data structures, improve search relevance, fix complex bugs, collaborate with distributed engineers and the community, and write idiomatic modern Java while contributing to Lucene and Elasticsearch internals.

Lead product strategy and roadmap for Elastic's Control Plane (orchestration and management) for Elastic Cloud. Partner with engineering, sales, and marketing to prioritize features, gather customer and market insights, and drive go-to-market. Focus on scalable orchestration, management, and developer-focused infrastructure capabilities while working asynchronously across distributed teams.

Lead development of Elasticsearch search relevance and vector search features. Design and implement new search algorithms and data structures, fix complex bugs, improve Lucene, collaborate with a globally distributed team, engage with the community on issues and PRs, and write idiomatic modern Java.

Plan, produce, and govern demand-generation content for enterprise SaaS: write, edit, and adapt assets (including agency- and AI-built content); manage publishing calendar in Adobe Workfront; monitor performance with GA4, SEMRush AIO, and Looker; optimize SEO and discoverability; coordinate cross-channel distribution with campaigns, SEO, social, product marketing, and paid media.

Own channel motion for Canada: generate partner-sourced pipeline, build territory and partner plans, onboard and enable partners, manage deal execution and registrations, ensure pipeline hygiene and reporting, and coordinate cross-functionally to accelerate partner-influenced bookings.

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.