Senior Java Engineer - Core / Infra - Elasticsearch

Requirements

• Experience crafting APIs and the ability to reason through tradeoffs.
• Proficient in algorithms and data structures.
• You have strong skills in core Java and are conversant in the standard library of data structures and concurrency constructs, as well as newer language features.
• Experience with low-level Java such as concurrency, parallelism, classloaders, etc.
• Hands-on experience with CI/CD systems and practices (Buildkite, Argo CD, GitOps etc).
• Experience leading large scale projects across engineering teams.
• Willingness to dive into new issues and ask for help when you need it.
• You are able to own projects from beginning to end. This covers both technical design and working with others to develop needed components.
• 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 possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
• You can work autonomously, drive decisions and results in a distributed team by leveraging asynchronous, direct, and transparent communication.

Nice to Haves

• Knowledge of JDK internals: modules, the Java memory model, garbage collection, database load, caching techniques, etc.
• Experience with observability and telemetry solutions, particularly OpenTelemetry.
• Knowledge of Go.
• Knowledge of containers and Kubernetes.
• Knowledge of Java build tools (Gradle, Maven, etc), with a strong preference for Gradle experience.
• Experience working in a platform team or developer productivity team.

What You'll Be Doing

• 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 our support engineers with the harder problems.
• Owning operational investigations end-to-end, until performance or stability issues are successfully resolved.

Perks and Benefits

• 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.