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Elastic

Searches enterprise data and monitors systems

Principal Software Engineer - Vector Search, Elasticsearch

Backend EngineeringConfirmed live in the last 24 hours
Full-timePolandPLN369.4k - PLN584.3kRemote

About the Job

Requirements

  • 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.
  • You have professional experience with vector similarity and vector databases, and have 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 can take on projects and guide them from beginning to end, covering both technical design and working with other engineers to develop needed components.
  • You are comfortable developing collaboratively and giving and receiving feedback on code, approaches, and APIs.
  • You have used several data storage technologies such as 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 and interact respectfully, empathetically, and trustingly with others.
  • You have a proven track record of using artificial intelligence to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes.
  • You can collaborate across functions and teams and 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.

Responsibilities

  • Lead initiatives within Elasticsearch to produce an industry-leading vector database offering, supplying speed and relevance in search.
  • Contribute full time to Elasticsearch by building new search features, fixing bugs, and making the code easier to understand.
  • Invent or implement algorithms and data structures, sometimes working close to the operating system and hardware.
  • Work with a globally distributed team of experienced engineers focused on Elasticsearch vector search capabilities.
  • Develop expertise in how Elasticsearch implements vector similarity in support of search relevance, answer questions in this area, and improve it.
  • Work with community members on issues and pull requests, triaging and handing them off to other experts or handling them directly.
  • Write idiomatic modern Java.

Desired Qualifications

  • Experience collaborating over the internet, including asynchronous collaboration.
  • Experience building with Elasticsearch.
  • Experience with open-source projects and familiarity with different source-control workflows and continuous integration.
  • Experience with data storage technology.
  • Experience designing, leading, and owning cross-functional initiatives.

About the Company

Elastic

Searches enterprise data and monitors systems

Elastic builds search, observability and security software for developers, IT operations teams and security analysts. Elasticsearch indexes enterprise data so applications can retrieve records, while Kibana gives teams dashboards for exploring results and investigating system activity. Customers use the tools to search business information, monitor applications and infrastructure, and investigate threats across their data. Elastic sells managed cloud services and self-managed subscriptions, with resource-based hosted pricing, usage-based serverless pricing and licenses tied to nodes and memory. Founded in 2012, Elastic lists San Francisco, California, as its headquarters.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2012

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