Description
Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale , unleashing the potential of businesses and people.
We are on the lookout for a Senior Software Engineer to join our Elasticsearch team and focus on ensuring that the shared platform functionalities of Elasticsearch are easy to use, performant, maintainable, and secure.
The team’s mission is to create foundational infrastructure and shared functionality that enables engineers to develop, extend, and support Elasticsearch. The team owns common functionality such as services, settings, and scripting, and makes Elasticsearch extensible through plugins or the Painless scripting language.
You will be a strong individual contributor on the team, but you will also contribute to and lead cross-team projects. We need someone who has great design skills, who can work at a low level of abstraction but can equally drive and communicate technical concepts across a variety of collaborators.
Responsibilities
- 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.
Requirements
- Experience crafting APIs and the ability to reason through tradeoffs.
- Proficient in algorithms and data structures.
- Strong skills in core Java and 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 needed.
- Ability to own projects from beginning to end.
- Proven track record of using AI to accelerate development, debug complex systems, and optimize code.
- Possess the ability to collaborate across functions and teams and seamlessly transition between different projects, codebases, or teams based on business priorities.
- Can work autonomously, drive decisions and results in a distributed team.
Nice to Have
- 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.
Compensation
The typical starting salary range for this role is: $133,100-$210,600 USD The typical starting salary range for this role in select locations is: $159,900-$252,900 USD