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Elastic

Searches enterprise data and monitors systems

Senior Software Developer - Storage Engine, Elasticsearch

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in CanadaCA$128.3k - CA$203kRemote

About the Job

Requirements

  • 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.
  • Proven track record using AI to accelerate development, debug complex systems, and optimize code while retaining responsibility for final outcomes.
  • Ability to use AI agents effectively through prompt engineering, sound engineering judgment, and validation of results and limitations.
  • Experience implementing novel techniques to efficiently index, store, and query time-series or logs data.
  • Experience with one or more data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus, and understanding of how they work.
  • Strong core Java skills, deep understanding of Java concurrency primitives, and ability to design and optimize efficient data structures and algorithms.
  • Verbal and written communication skills and ability to collaborate professionally in a distributed team.

Responsibilities

  • Design, implement, and optimize Elasticsearch's core storage and query engine.
  • Lead the architectural evolution of core storage engine components and identify and resolve performance bottlenecks in indexing layouts, serialization formats, and resource utilization.
  • Lead cross-organizational initiatives to drive and build observability solutions.
  • Work with a globally distributed team focused on Elasticsearch logs and metrics capabilities.
  • Introduce best practices for clean coding standards, explain complex system behaviors, and clarify platform architecture to drive operational and system improvements.
  • Serve as a subject matter expert and trusted technical advisor and mentor to the wider engineering organization.
  • Triage, resolve, and review issues and pull requests with the global community, collaborating with domain experts as needed.
  • Write idiomatic modern Java.

Desired Qualifications

  • Prior experience building with Elasticsearch.
  • Experience working on 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.
  • Prior work 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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