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Elastic

Searches enterprise data and monitors systems

Principal Software Engineer - Multiple Teams

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USA$159.8k - $303.5kRemote

About the Job

Requirements

  • Experience leading technical projects in data and enterprise architecture, with proven knowledge of building and operating sophisticated technical infrastructure and engineering sound software systems.
  • Experience mentoring expert engineers and providing technical and professional guidance.
  • Experience defining a long-term technical vision for an area of a data-intensive application and working across teams and organizations to build a technical roadmap collaboratively.
  • Hands-on experience with search and analytics APIs, such as Splunk SPL, Elasticsearch, Datadog, Dynatrace, or New Relic.
  • Strong skills in core Java and familiarity with the standard library's data structures and concurrency constructs, as well as newer features such as lambdas; a desire to optimize and use efficient data structures and algorithms.
  • Ability to work autonomously, tackle projects, and guide them from beginning to end, including technical design and working with other engineers to develop components.
  • 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 based on business priorities.
  • Ability to work autonomously and drive decisions and results in a distributed team through asynchronous, direct, and transparent communication.

Responsibilities

  • Define, lead, and contribute to the development of data-intensive enhancements.
  • Research industry features, data structures, and algorithms to ensure the team builds suitable capabilities for users.
  • Work directly with partners and product teams to understand their needs and build a strategic vision for the longer term.
  • Use experience in analytics systems to build and drive an innovative roadmap for ES|QL and the compute engine.
  • Provide technical vision and direction for customer/user interfaces, language syntax, and compute infrastructure.
  • Serve as an authority in areas of Elasticsearch, answering questions and improving those areas.
  • Collaborate with user experience teams on the user interface and with customer-facing teams building solutions on top of APIs for Search, Security, and Observability.
  • Develop Elasticsearch using modern Java.

Desired Qualifications

  • Experience building with Elasticsearch and experience in search and information retrieval, including understanding the underlying constructs and theory.
  • Experience working with open-source projects and familiarity with different 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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