Join Elastic as a Principal Software Engineer to enhance vector similarity search in Elasticsearch with a globally distributed team.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 15 hours ago
Skills & Technologies
What you'll build
Must have
Nice to have
AI in the day-to-day
You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code.
Not disclosed in this posting: years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Principal Software Engineer will focus on enhancing vector similarity search capabilities within Elasticsearch, leading the design and implementation of new features while addressing existing bugs. Proficiency in Java and experience with vector databases and algorithms are essential, as the position requires a deep understanding of search relevance. This role is suited for experienced engineers who thrive in a collaborative, distributed environment and can manage projects autonomously. Elastic emphasizes a culture of empowerment and incremental improvement, fostering a diverse and inclusive team.
Joblaze insights
Quick facts
From the original posting
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 team. This globally-distributed team of expert engineers focuses on delivering a robust and feature-rich search experience, including contributing to improving the search experience in Lucene. This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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.
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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