2 months ago
Base Salary
$160k - $253k/yr
Responsibilities
- Define and lead the technical vision, roadmap, and implementation of ES|QL and Elasticsearch analytical compute capabilities.
- Design and contribute hands-on to data-intensive enhancements, language syntax, customer interfaces, and compute infrastructure.
- Research data structures, algorithms, and industry capabilities to guide product and technical decisions.
- Collaborate with partners, product teams, UX teams, and customer-facing teams across organizations.
- Mentor expert engineers and provide technical and professional guidance.
- Develop modern, idiomatic Java software and optimize systems using efficient data structures and algorithms.
- Act as a technical authority for key Elasticsearch areas and improve those areas through ongoing investigation and development.
Requirements
- Experience leading technical projects involving data and enterprise architecture.
- Proven experience building and operating sophisticated technical infrastructure and sound engineering systems.
- Experience mentoring expert engineers and providing technical guidance.
- Experience defining long-term technical vision and collaborative roadmaps for data-intensive applications.
- Hands-on experience with search and analytics APIs such as Splunk SPL, Elasticsearch, Datadog, Dynatrace, or New Relic.
- Strong Java skills, including the standard library, data structures, concurrency constructs, and lambdas.
- Experience with data storage technologies such as Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra, including understanding their underlying operation.
- Ability to work autonomously across projects, codebases, teams, and functions while driving work from design through completion.
- Excellent verbal and written communication skills for distributed collaboration.
- Proven use of AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Bonus: experience building with Elasticsearch and knowledge of search and information retrieval theory and practice.
- Bonus: experience with open source projects, source control workflows, and continuous integration.
Benefits
- Distributed work model with flexible locations and schedules for many roles.
- Health coverage for employees and families in many locations.
- Generous vacation allowance.
- Company-matched 401(k) contributions up to 6% of eligible earnings.
- Eligibility to participate in Elastic’s stock program.
- Up to $2,000 in matching for financial donations and service.
- Up to 40 hours annually for volunteer projects.
- Minimum 16 weeks of parental leave.
Tech Stack
Categories
About Elastic
Elastic builds the Elasticsearch-based platform for enterprise search, observability (logging, metrics, APM), and security (SIEM/endpoint). It sells subscriptions and Elastic Cloud managed services with usage-based pricing, combining open source and proprietary features through Elasticsearch and Kibana. Founded in 2012 and headquartered in San Francisco, Elastic is publicly traded on the NYSE and is used by more than half of the Fortune 500.