As a Senior Software Engineer on the Elasticsearch - Search Relevance team, you will shape the direction and implementation of advanced search capabilities at Scale. You’ll work with a globally distributed team to deliver fast, relevant search experiences and contribute to improvements in Lucene. The role blends feature development, bug fixes, and potential new algorithms, with a strong emphasis on autonomous, collaborative execution. You’ll impact how users find answers across data, leveraging AI to accelerate development and optimize systems.
Compensaciones / Incentivos
- Competitive pay
- Health coverage for you and family
- Flexible locations and schedules
- Generous vacation days
- Donation matching up to $2000
- Volunteer project time (up to 40 hours/year)
Responsabilidades
- Lead initiatives to deliver industry-leading search with top speed and relevance
- Build new search features, fix bugs, and simplify code; potentially invent algorithms or data structures
- Collaborate with a globally distributed team focusing on vector search capabilities
- Develop deep expertise in Elasticsearch search relevance and drive improvements
- Engage with community members via issues and pull requests,
triaging and handing off when needed
- Write idiomatic Java (Elasticsearch is primarily Java)
Requisitos principales
- Professional experience with search or vector databases at scale
- Strong core Java skills and knowledge of data structures, concurrency, and lambdas
- Ability to own projects from design to delivery with cross-functional collaboration
- Experience with asynchronous collaboration and distributed teamwork
- Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra
- Track record of using AI to accelerate development and optimize code while owning outcomes
- Ability to adapt across projects and codebases based on business priorities
- Strong communication and code review abilities
- Autonomy and self-direction
- Effective collaboration across functions and teams
- Ability to give and receive feedback on code and APIs
- Java, with strong knowledge of concurrency and standard libraries
- Elasticsearch and/or Solr experience
- Vector search algorithms (HNSW, IVF) and related libraries