8 days ago
Spain (city not specified)Senior
Responsibilities
- Contribute to large projects evolving the core infrastructure underpinning Elasticsearch.
- Design and implement horizontally scalable Elasticsearch features and APIs.
- Develop automation and integrate agentic applications into engineering workflows to improve developer productivity.
- Solve complex performance, concurrency, stability, and operational issues end to end.
- Improve the operation and observability of Elasticsearch cloud systems.
- Collaborate with the Elasticsearch team, users, and open source projects.
- Lead cross-team projects and support support engineers with difficult technical problems.
Requirements
- Strong core Java skills, including standard data structures, concurrency constructs, and newer language features.
- Experience with API design, algorithms, data structures, low-level Java, concurrency, and parallelism.
- Hands-on experience with CI/CD systems and practices such as Buildkite and Argo CD.
- Experience leading large-scale projects across engineering teams and owning work from technical design through completion.
- Proven use of AI to accelerate development, debug complex systems, and optimize code while retaining ownership of outcomes.
- Ability to work autonomously and collaborate effectively across distributed teams and codebases.
- Preferred experience includes JDK internals, Java memory management, garbage collection, database load, caching, observability and telemetry, OpenTelemetry, Go, containers, Kubernetes, Gradle, Maven, and platform or developer productivity teams.
Benefits
- Base-salary compensation with no variable compensation component, with a typical starting range of €67.000—€106.000 EUR.
- Distributed work with flexible locations and schedules for many roles.
- Health coverage for employees and families in many locations.
- Generous vacation days and at least 16 weeks of parental leave.
- Donation matching of up to $2000 or local-currency equivalent and up to 40 volunteer hours annually.
Tech Stack
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.