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Elastic

Searches enterprise data and monitors systems

Senior Software Engineer - Storage Engine, Elasticsearch

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$133.1k - $252.9kRemote

About the Job

Requirements

  • Collaborate across functions and teams and transition between projects, codebases, or teams as business priorities change.
  • Work autonomously and drive decisions and results in a distributed team through asynchronous, direct, and transparent communication.
  • Use artificial intelligence to accelerate development, debug complex systems, and optimize code while owning final outcomes.
  • Leverage artificial intelligence agents effectively with sound engineering judgment to validate results and recognize limitations.
  • Implement techniques to efficiently index, store, and query time-series or logs data.
  • Have experience with one or more data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus, and understand how they work.
  • Demonstrate strong core Java skills, a deep understanding of Java concurrency primitives, and the ability to design and optimize efficient data structures and algorithms.
  • Write idiomatic modern Java.
  • Participate in technical discussions and work effectively across distributed teams.
  • Demonstrate excellent verbal and written communication and collaborate respectfully, empathetically, and professionally in a distributed team.

Responsibilities

  • Lead the architectural evolution of core storage engine components and continuously identify and resolve performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
  • Lead cross-organizational initiatives to develop observability solutions.
  • Work with a globally distributed team focused on Elasticsearch logs and metrics capabilities.
  • Drive operational and system improvements by introducing clean coding standards, clarifying complex system behaviors, and improving platform architecture.
  • Serve as a subject matter expert and technical advisor, and mentor the wider engineering organization.
  • Triage, resolve, and review issues and pull requests with the global community and domain experts.

Desired Qualifications

  • Experience building with Elasticsearch.
  • Experience working with open-source projects and familiarity with different source-control workflows and continuous integration.
  • Experience working on data storage technology.
  • Experience designing, leading, and owning cross-functional initiatives.
  • Previous experience developing databases, search engines, operating systems, or cloud services.

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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