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Principal Software Engineer - Search Algorithms - Elasticsearch

Join Elastic as a Principal Software Engineer to enhance vector similarity search in Elasticsearch with a globally distributed team.

Location
Portugal
Compensation
€67k–€106k/yr
Level
principal
Type
full time · Remote

Posted by employer 2 months ago

First seen on Joblaze 2 months ago

Last verified on the company career page 15 hours ago

What you'll build

  • Lead initiatives within Elasticsearch for vector database offering
  • Build new search features and fix bugs in Elasticsearch
  • Collaborate with a globally distributed team
  • Improve vector similarity implementation in Elasticsearch
  • Work with community members on issues and pull requests

Must have

  • Professional experience with vector similarity and vector databases
  • Strong skills in core Java
  • Experience with data storage technologies like Elasticsearch and PostgreSQL
  • Excellent verbal and written communication skills

Nice to have

  • Built things with Elasticsearch before
  • Worked with open source projects
  • Experience designing cross-functional initiatives

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

Volunteer Time Off Flexible Work Schedule Generous Vacation Days Health Insurance Parental Leave

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

  • Listed about 2 months ago — first seen on Joblaze August 28, 2026. Last confirmed on Elastic's careers page November 1, 2026.
  • This exact title is also open at 5 other locations at Elastic: Switzerland, United States, Romania, Poland, Norway.
  • Starts above 8% of 66 comparable principal backend roles we track (median $110,291 across 14 companies).

Quick facts

Is the Principal Software Engineer - Search Algorithms - Elasticsearch role remote?
Yes — Elastic lists this as a fully remote position.
What's the salary range?
Elastic lists €67,000–€106,000 for this role.
What's the tech stack?
Joblaze extracted these technologies from the posting: Cassandra, Elasticsearch, HNSW, IVF, Java, MongoDB.
What seniority level is this role?
Elastic targets principal-level candidates for this position.
Is this full-time or contract?
Full-time for this Principal Software Engineer - Search Algorithms - Elasticsearch role at Elastic.

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.

What is the role

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.

What You Will Be Doing

  • Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying unparalleled speed and relevance in search.
  • Contribute to Elasticsearch full time, building new search features and fixing intriguing bugs, all while making the code easier to understand. Sometimes you'll need to invent a new algorithm or data structure. Or find one and implement it. Sometimes you'll need to get close to the operating system and hardware.
  • Work with a globally distributed team of experienced engineers focused on the vector search capabilities of Elasticsearch.
  • Be an expert on how Elasticsearch implements vector similarity in support of search relevance and everyone will turn to you when they have a question about this area. You'll improve this area based on your questions and your instincts.
  • Work with community members from all over the world on issues and pull requests, sometimes triaging them and handing them off to other experts and sometimes handling them yourself.
  • Write idiomatic modern Java -- Elasticsearch is 99.8% Java!

What You Bring Along

  • Professional experience with vector similarity and vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
  • You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as other features like lambdas.
  • You work with a high level of autonomy, and are able to take on projects and guide them from beginning to end. This covers both technical design and working with other engineers to develop needed components.
  • You're comfortable developing collaboratively. Giving and receiving feedback on code and approaches and APIs is hard! Bonus points if you've collaborated over the internet because that's harder. Double bonus points for asynchronous collaboration over the internet. That's even harder, but we do it anyway because it's the best way we know how to build software.
  • You've used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way.
  • You have excellent verbal and written communication skills. Like we said, collaborating on the internet is hard. We try to be respectful, empathetic, and trusting in all of our interactions. And we'd expect that from you too.
  • You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
  • You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
  • You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Bonus Points

  • You've built things with Elasticsearch before.
  • You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration.
  • Experience with data storage technology.
  • You have experience designing, leading and owning cross-functional initiatives

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.

€67.000—€106.000 EUR

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