A young and profitable startup in the Data Intelligence space, well-funded and already serving active clients, is developing a platform for analysts to extract deep insights from structured and unstructured raw data.
The system analyzes multi-dimensional data (time, location, context, content) using advanced machine learning and deep learning algorithms across domains such as NLP, computer vision, speech, and metadata.
The platform features a rich technological stack, including Spark-based infrastructure, Kafka, diverse databases (graph, columnar, NoSQL), GPU-based training and real-time inference, and a robust React-based application. It is currently used by intelligence sector clients, with plans to expand into the financial domain.
The company is based in central Israel, operates in a hybrid model with two work-from-home days per week, and has around 35 employees.
Role Overview:
Part of a team of five developers, reporting to the team lead.
Tech Stack: Scala, Spark, Kubernetes, AWS.
Qualifications:
- 5 years Experience in designing and developing large distributed system and microservices architecture
- 7 years Hands-on experience in Scala or other high-level languages.
- 7 years Hands-on experience working with Big Data technologies such as Spark, Kafka, flink
- Experience in databases - Elasticsearch, Cassandra, ClickHouse, Postgres or equivalent
- B.Sc. in Computer Science/Engineering or equivalent
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