You have implemented novel techniques in vector similarity on a search platform with a large user base or progressed the field of academic research in vector similarity information retrieval
Professional experience with search or vector databases, and you used HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale
You have solid 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 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
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
€85.600—€135.500 EUR
Additional Information - We Take Care of Our People
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do
Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with minimum of 16 weeks of parental leave
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