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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-timeRemote in USA$159.8k - $303.5kRemote

About the Job

Requirements

  • Implemented novel techniques in vector similarity on a search platform with a large user base, or progressed academic research in vector similarity information retrieval.
  • 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 the standard library's data structures, concurrency constructs, and features such as lambdas.
  • Ability to take on projects and guide them 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 how they work.
  • Ability to use AI 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 using asynchronous, direct, and transparent communication.
  • Strong verbal and written communication skills.

Responsibilities

  • Lead initiatives within Elasticsearch to develop a vector database offering focused on speed and search relevance.
  • Contribute full time to Elasticsearch by building search features, fixing bugs, improving code understandability, and inventing or implementing algorithms and data structures.
  • Work with a globally distributed team of experienced engineers on Elasticsearch vector search capabilities.
  • Develop expertise in Elasticsearch vector similarity implementation and improve the area in support of search relevance.
  • Work with community members on issues and pull requests, including triaging and handing off issues or addressing them directly.
  • Write idiomatic modern Java.

Desired Qualifications

  • 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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