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Elastic

Searches enterprise data and monitors systems

Principal Java Engineer - Multiple Teams

Backend EngineeringPosted on Nov 11
Full-timeNorwayNOK949.5k - NOK1.5MIn-person

About the Job

Requirements

  • Deep background in distributed systems and consensus algorithms.
  • Strong skills in core Java, including the standard library of data structures and concurrency constructs, and newer language features.
  • Deep technical proficiency in algorithms.
  • Experience building large-scale distributed systems rather than relying on off-the-shelf services.
  • Experience building and debugging complex, broad-impact features running across multiple machines.
  • Ability to own projects from beginning to end, covering technical design and collaboration with others to develop needed components.
  • Experience managing projects involving multiple engineers.
  • Track record of using artificial intelligence to accelerate development, debug complex systems, and optimize code while owning the final outcomes.
  • Ability to collaborate across functions and teams, transition between projects, codebases, or teams based on business priorities, and drive decisions and results autonomously through asynchronous, direct, and transparent communication in a distributed team.

Responsibilities

  • Design, build, and operate core components of the next-generation Serverless Elasticsearch offering, applying distributed systems expertise.
  • Improve Elasticsearch components that support concurrent and consistent indexing across multiple machines.
  • Maintain the cluster coordination system to preserve performance as nodes join and leave and data moves, while maintaining system safety and liveness.
  • Increase the number of shards, nodes, and petabytes Elasticsearch can handle.
  • Investigate performance and concurrency issues and propose solutions.
  • Support support engineers with complex problems.
  • Own operational investigations end-to-end until performance or stability issues are resolved.

Desired Qualifications

  • Experience with data stores.
  • Knowledge of search, analytics, or Lucene.
  • Strong knowledge of the Java Development Kit.
  • Experience with asynchronous event-driven network frameworks such as Netty.

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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