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Elastic

Searches enterprise data and monitors systems

Principal Software Developer - Multiple Teams

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

About the Job

Requirements

  • Experience leading technical projects in data and enterprise architecture, with knowledge of building and operating sophisticated technical infrastructures and engineering sound software systems.
  • Experience mentoring expert engineers and providing technical and professional guidance.
  • Experience defining a long-term technical vision for a data-intensive application area and collaboratively building a technical roadmap across teams and organizations.
  • Hands-on experience with search and analytics APIs, such as Splunk SPL, Elasticsearch, Datadog, Dynatrace, or New Relic.
  • Strong core Java skills, familiarity with the standard library's data structures and concurrency constructs, and newer features such as lambdas; ability and interest in optimizing with efficient data structures and algorithms.
  • Ability to work autonomously, tackle projects from beginning to end, and guide technical design and development of components with other engineers.
  • Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding how and why they work.
  • Proven track record of using AI 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 according to business priorities.
  • Ability to drive decisions and results autonomously in a distributed team through asynchronous, direct, and transparent communication.

Responsibilities

  • Define, lead, and contribute to the development of data-intensive enhancements for Elasticsearch.
  • Research industry features, data structures, and algorithms to help determine capabilities for users.
  • Work with partners and product teams to understand their needs and build a long-term strategic vision.
  • Use analytics systems experience to build and drive a roadmap for ES|QL and the compute engine.
  • Provide technical vision and direction for customer and user interfaces, language syntax, and compute infrastructure.
  • Serve as an authority in areas of Elasticsearch, answer questions, and improve those areas.
  • Collaborate with user experience teams on the interface and with customer-facing teams building solutions on Elasticsearch APIs for Search, Security, and Observability.
  • Write idiomatic modern Java.

Desired Qualifications

  • Prior experience building with Elasticsearch and experience in search and information retrieval, including understanding their constructs and theory.
  • Experience working with open-source projects and familiarity with source-control workflows and continuous integration.

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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