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java kubernetes elasticsearch kafka ragπ Description
- Partner with engineers and stakeholders to design and deliver scalable search and data solutions
- Bridge traditional lexical search and modern semantic search approaches
- Design and implement hybrid search strategies combining keyword-based and vector-based retrieval
- Work with vector databases to manage and query high-dimensional embeddings
- Design and optimize retrieval-augmented generation (RAG) pipelines for long documents and retrieval quality
- Build and maintain high-throughput streaming data pipelines (e.g., Kafka) for real-time ingestion and indexing
π― Requirements
- Experience building and operating software in a modern private cloud-based environment
- Strong background in distributed systems and data-intensive applications
- Experience with search technologies such as Lucene, Elasticsearch, or Solr
- Hands-on experience with vector similarity search and vector databases (e.g., Qdrant, Milvus, Vespa)
- Familiarity with retrieval-augmented generation (RAG) concepts and architectures
- Understanding of knowledge graphs or graph-based data modeling concepts
π Benefits
- Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses.
- Stock options.
- Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a βtake-what-you-needβ time off policy as well as flexible work arrangements.
- 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one.
- Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service.
- Recognition: Weβre big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.
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