Requirements

You possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities
You work autonomously and can drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication
You have a proven track record of using AI to accelerate development, debug complex systems, and optimize code, while still owning the final outcomes
You bring a prompt-engineering mindset to know how to leverage AI agents effectively, using sound engineering judgment to validate results and recognize its limitations
You have implemented novel techniques to efficiently index, store, and query time-series or logs data
You have experience with one or more data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Prometheus and have some idea how they work and why they work that way
You have strong core Java skills, a deep understanding of its concurrency primitives, with a proven ability to design and optimize efficient data structures and algorithms
You excel in a collaborative environment, actively participate in technical discussions, and work effectively across distributed teams. Because it's the best way we know how to build software
You have excellent verbal and written communication skills and collaborate with respect, empathy, and professionalism in a distributed team

What You'll Be Doing

Lead the architectural evolution of core storage engine components, continuously identifying and resolving performance bottlenecks in indexing layouts, serialization formats, and resource utilization
Lead cross organizational initiatives to drive and build industry-leading observability solutions
Work with a globally distributed team of experienced engineers focused on the logs and metrics capabilities of Elasticsearch
Drive continuous operational and system improvements by introducing best practices for clean coding standards, demystifying complex system behaviors, untangling complexity to bring architectural clarity across the platform
Serve as a subject matter expert (SME) across key areas of Elasticsearch, acting as a trusted technical advisor and mentor to the wider engineering organization
Work with a global community to triage, resolve, and review issues and pull requests, collaborating with domain experts as needed
Write idiomatic modern Java -- Elasticsearch is 99.8% Java

You've built things with Elasticsearch before
You've worked with open source projects and are familiar with different styles of source control workflow and continuous integration
You’ve worked on data storage technology
You have experience designing, leading, and owning cross-functional initiatives
You have past working experience with database, search engine, OS, or cloud service development

Competitive pay based on the work you do here and not your previous salary
Health coverage for you and your family in many locations
Ability to craft your calendar with flexible locations and schedules for many roles
Generous number of vacation days each year
Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
Up to 40 hours each year to use toward volunteer projects you love
Embracing parenthood with a minimum of 16 weeks of parental leave