Contributing to large, impactful projects that evolve the core infrastructure that underpins Elasticsearch.
Making Elasticsearch developers more productive by identifying and developing opportunities for automation, and integrating agentic apps into development workflows.
Designing and implementing new horizontally-scalable features and APIs in Elasticsearch.
Solving difficult issues, including performance or concurrency issues, and proposing solutions.
Improving operation and observability of Elasticsearch cloud systems.
Collaborating in the open with the ES team, Elastic users, and other supporting open source projects.
Supporting support engineers with the harder problems.
Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.
Requirements
Experience crafting APIs and the ability to reason through tradeoffs.
Proficient in algorithms and data structures.
Strong skills in core Java, including concurrency, parallelism, classloaders, and newer language features.
Experience with low-level Java such as concurrency, parallelism, classloaders, etc.
Hands-on experience with CI/CD systems and practices such as Buildkite, Argo CD, GitOps.
Experience leading large scale projects across engineering teams.
Willingness to dive into new issues and ask for help when needed.
Ability to own projects from beginning to end including technical design and collaboration.
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 and codebases based on business priorities.
Ability to work autonomously, drive decisions and results, leveraging asynchronous, direct, and transparent communication in a distributed team.