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Elastic

Searches enterprise data and monitors systems

Principal Software Engineer - Search Algorithms, Elasticsearch

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$159.8k - $303.5kRemote

About the Job

Requirements

  • Professional experience with vector similarity and vector databases, including use of HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
  • Strong skills in core Java and familiarity with its standard library, data structures, concurrency constructs, and lambdas.
  • Ability to take projects from beginning to end, including technical design and working with other engineers to develop needed components.
  • Experience with several data-storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding of how they work.
  • Experience using artificial intelligence to accelerate development, debug complex systems, and optimize code while owning final outcomes.
  • Ability to collaborate across functions and teams and transition between projects, codebases, or teams based on business priorities.
  • Ability to work autonomously and drive decisions and results in a distributed team through asynchronous, direct, and transparent communication.
  • Verbal and written communication skills to collaborate respectfully and effectively in a distributed team.

Responsibilities

  • Lead initiatives within Elasticsearch to produce a vector database offering with speed and relevance in search.
  • Contribute to Elasticsearch by building search features, fixing bugs, and improving code understandability.
  • Invent or implement algorithms and data structures, sometimes working close to the operating system and hardware.
  • Work with a globally distributed team focused on Elasticsearch vector-search capabilities.
  • Develop expertise in Elasticsearch vector similarity and improve that area of the product.
  • Work with community members on issues and pull requests, including triaging and handing off issues or handling them directly.
  • Write modern, idiomatic Java.

Desired Qualifications

  • Prior experience building with Elasticsearch.
  • Experience with open-source projects and familiarity with 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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