Join Elastic as a Principal Software Engineer to lead the evolution of Elasticsearch's core search and indexing capabilities.
Posted by employer 1 day ago
First seen on Joblaze 1 day ago
Last verified on the company career page 1 day ago
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Not disclosed in this posting: years of experience, visa sponsorship.
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Joblaze summary
In the role of Principal Software Engineer for the Elasticsearch - Search Infra team, the individual will lead the development of core search and indexing capabilities, focusing on enhancing the search experience through research and collaboration. Key skills include deep expertise in search technologies like Elasticsearch and Lucene, as well as strong proficiency in Java and advanced data structures. This position is ideal for seasoned engineers with a background in large-scale search systems who can work autonomously and mentor others. Elastic's distributed team emphasizes collaboration across global locations, fostering a culture of support and continuous improvement.
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
We're looking for a Principal Software Engineer to join the Elasticsearch - Search Infra team. This globally-distributed team of experienced engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principle software engineering role that entails using your vast knowledge in this space in order to define, direct, and build the next generation of Elasticsearch capabilities. This role provides technical vision and direction for Elasticsearch’s core search infrastructure, including indexing, retrieval, and relevance, and requires deep expertise in search internals and cross-team collaboration.
Our company is distributed by intention. We hire the best engineers we can find wherever they are, whoever they are. We collaborate across continents every day over email, GitHub, Zoom, and Slack. At our best, we write fast, scalable and intuitive software. We believe that the best way to do that is to empower individual engineers, code review every change, decide big things by consensus, and strive for incremental improvements.
As a full-time Elasticsearch contributor, you will define, lead, and contribute to the evolution of core search and indexing capabilities. You’ll research advances in search infrastructure, data structures, and retrieval algorithms to ensure we’re building the most efficient and powerful foundations for our users. You’ll work closely with our partners and product teams to understand their needs and help shape the long-term technical vision for search at Elastic. You’ll bring your past experience with large-scale search systems to drive an innovative roadmap for Elasticsearch’s indexing, query execution, and relevance layers. As an authority in several areas of Elasticsearch, you’ll be the go-to expert for those domains, continuously improving them through your insights and instincts.
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
At Elastic, our compensation philosophy aims to provide fair, competitive and transparent remuneration. Salary ranges are established based on a combination of external market benchmarks, internal pay equity considerations, and the responsibilities and complexity associated with each role. This approach helps ensure consistency across comparable roles while remaining competitive within the relevant labour markets.
The final compensation offered within the applicable range will be determined based on several objective factors, including relevant professional experience, level of skills and expertise, alignment with the role requirements, and the overall scope and complexity of the position.
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