Elasticsearch - Principal Software Engineer II - Query Engine, Database Internals

About the Role

Key Responsibilities

• Define, lead, and contribute to the development of data-intensive enhancements in Elasticsearch.
• Research the latest features, data-structures, and algorithms to ensure building the right capabilities for users.
• Work directly with partners and product teams to understand their needs and build a strategic vision for the long term.
• Bring past experience in analytics systems to help build and drive an innovative roadmap for ES|QL and the compute engine.
• Serve as an authority in several areas of Elasticsearch, providing guidance and improving those areas based on questions and instincts.
• Collaborate closely with user experience teams to craft a friendly user interface and with teams building solutions on top of APIs (Search, Security, Observability).
• Write idiomatic modern Java, as Elasticsearch is 99.8% Java.

Requirements

• Experience leading technical projects in the data and enterprise architecture areas.
• Proven knowledge in building and running 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, working across teams to build a technical roadmap.
• Hands-on experience with search and analytics solutions such as Splunk SPL, Elasticsearch, Datadog, Dynatrace, or New Relic.
• Strong skills in core Java, including data structures, concurrency constructs, and newer features like lambdas.
• Desire to optimize and utilize efficient data structures and algorithms.
• Ability to work with high autonomy, guiding projects from design to implementation.
• Experience with data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, and understanding their workings.
• Excellent verbal and written communication skills.

Nice to Have

• Built things with Elasticsearch before and have experience in the search and information retrieval space.
• Understanding of the constructs and theory behind search and retrieval.
• Experience working with open source projects and familiarity with source control workflows and continuous integration.

Qualifications

• Relevant experience in leading technical projects in data and enterprise architecture.
• Proven ability to build and operate sophisticated technical infrastructures.
• Experience mentoring engineers and guiding technical teams.
• Hands-on experience with search and analytics solutions.

Benefits & Perks

• Competitive salary based on work performed.
• Participation in Elastic's stock program.
• Company-matched 401k with dollar-for-dollar matching up to 6%.
• Health coverage for employees and their families in many locations.
• Flexible work locations and schedules.
• Generous vacation days.
• Matching up to $2000 for charitable donations.
• Up to 40 hours annually for volunteer projects.
• Minimum of 16 weeks parental leave.
• Inclusive and diverse company culture with parity of benefits across regions.