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Elastic

Searches enterprise data and monitors systems

Senior Software Engineer - Vector Search, Elasticsearch

Backend EngineeringConfirmed live in the last 24 hours
Full-timeGreece€61.1k - €96.6kRemote

About the Job

Requirements

  • Implemented novel techniques in vector similarity on a search platform with a large user base, or advanced academic research in vector similarity information retrieval.
  • Professional experience with search or vector databases and use of HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
  • Solid skills in core Java, including the standard library's data structures and concurrency constructs, and familiarity with features such as lambdas.
  • Ability to work autonomously and guide projects from beginning to end, including technical design and collaboration with engineers to develop needed components.
  • Experience using data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding how they work.
  • Proven track record of 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 drive decisions and results in a distributed team using asynchronous, direct, and transparent communication.

Responsibilities

  • Lead initiatives within Elasticsearch to develop a high-speed, relevant search engine offering.
  • Build Elasticsearch search features, fix bugs, and improve code clarity; develop or implement algorithms and data structures and work close to the operating system and hardware when needed.
  • Work with a globally distributed team on Elasticsearch vector search capabilities.
  • Identify and drive improvements to Elasticsearch search relevance.
  • Work with community members on issues and pull requests, including triaging and handing them off to experts or handling 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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