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Elastic

Searches enterprise data and monitors systems

Principal Software Developer - Vector Search, Elasticsearch

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in CanadaCA$154k - CA$243.6kRemote

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 vector similarity and vector databases, including use of HNSW, IVF, or other relevant algorithms and libraries on search platforms at scale.
  • Strong core Java skills and familiarity with the standard library's data structures, concurrency constructs, and features such as lambdas.
  • Ability to take projects from beginning to end, including technical design and working with other engineers to develop needed components.
  • Experience using data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding how they work.
  • Track record of using AI to accelerate development, debug complex systems, and optimize code while retaining ownership of the final outcomes.
  • Ability to collaborate across functions and teams and transition between projects, codebases, or teams according to 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 needed for collaborative work.

Responsibilities

  • Lead initiatives within Elasticsearch to develop its vector database offering.
  • Build new Elasticsearch search features, fix bugs, and improve 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 implementation and improve that area.
  • Work with community members on issues and pull requests, triaging and handing them off to other experts or handling them directly.
  • Write modern, idiomatic Java.

Desired Qualifications

  • Prior 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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