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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.

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

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.

The Elastic AI Engineer will design agentic workflows, integrate AI models with tools, manage deployment, and ensure data security while leveraging the Elastic Stack for enterprise solutions.

The Senior Competitive Benchmarking Developer will measure and analyze performance metrics of Elastic's products against competitors, defining methodologies, running benchmarks, and communicating results effectively across teams.

The Principal Product Manager will define the vision and strategy for the Elastic Agent Builder, working with customers and teams to develop AI agent capabilities and product roadmaps.

The Partner Marketing Manager will plan and execute marketing initiatives with strategic partners, ensuring alignment with Elastic's goals while fostering collaboration, tracking performance, and refining strategies based on feedback.

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.