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Elasticsearch Engineer
| Full-time | Fully remote
, ,We’re looking for an experienced Search Engineer with deep expertise in Elasticsearch and strong proficiency in Java to help us build and optimize high-performance search solutions. In this role, you’ll design scalable indices, craft efficient queries, and tune clusters to deliver fast and relevant search experiences. Beyond core development, you’ll collaborate closely with cross-functional teams in an Agile environment, contribute to clean and modular codebases, and ensure quality through robust testing and CI/CD practices. If you’re passionate about search technologies, system performance, and delivering seamless user experiences, we’d love to hear from you.
Must-have:
Must-have:
- 4–12 years of professional software development experience.
- Deep experience with Elasticsearch—modeling data, optimizing indices, designing queries, tuning clusters, and ensuring performance.
- Strong command of Java, demonstrating clean coding, modular architecture, and DRY principles.
- Solid understanding of object-oriented design, concurrency, and efficient data structures.
- Proficiency in automated testing frameworks (e.g., JUnit, Mockito), and CI/CD pipelines.
- Skilled in collaborating in Agile settings—participating in stand-ups, retrospectives, and iterative delivery.
- Excellent communication and ability to convey technical concepts to both technical and non-technical stakeholders.
Nice-to-have / Preferred:
- Hands-on experience with Spring, Spring Data Elasticsearch, or comparable frameworks.
- Familiarity with search use cases: autocomplete, fuzzy matching, filtering, relevance tuning, pagination.
- Knowledge of JVM internals, performance profiling, and memory management.
- Exposure to search analytics and tools like Kibana or custom dashboards (focused on search metrics rather than logs).
- Experience mentoring junior developers or leading small cross-functional projects.