Java Software Engineer

A well-established global enterprise software and technology company delivering advanced cloud infrastructure, data protection, and secure corporate communications platforms to organizations worldwide. Operating at international scale with hundreds of employees globally, the organization pairs long-term business stability with complex engineering challenges surrounding high-throughput data processing, ultra-low latency, and distributed systems. The company fosters an engineering-driven culture focused on robust architecture, technical excellence, and scale. Located in the Central District with convenient public transit accessibility, operating on a hybrid model. Role Description- Serving as a Senior Data Platform / Backend Engineer, joining the core Data Platform engineering group to design, build, and maintain central enterprise data pipelines and cloud microservices. Architecting and scaling distributed, high-performance backend systems in Java (with additional development in Go ), engineered to process large volumes of streaming events with low latency. Designing and implementing real-time streaming architectures, event-driven pipelines, and distributed messaging flows utilizing Kafka, Spark, and Flink . Developing and optimizing storage layers combining analytical engines (e.g., ClickHouse), NoSQL, and relational databases into a resilient, high-availability platform serving multiple internal and external products. Applying modern Data Modeling principles across real-time streaming, micro-batching, and distributed messaging systems. Evaluating and adopting emerging Big Data, storage, and streaming technologies, collaborating closely with Product, DevOps, and Security teams. Requirements- B.Sc. in Computer Science / Software Engineering / related technical discipline OR a veteran of an IDF technological unit – Mandatory 5+ years of dedicated professional backend development experience in Java, Scala, or Kotlin – Mandatory Hands-on development experience with Big Data or stream-processing frameworks (Spark, Flink, ClickHouse, or Kafka) – Mandatory Practical understanding of Data Modeling, Streaming vs. Batch processing paradigms, and Distributed Messaging – Mandatory Proven background designing and maintaining high-throughput, distributed backend services in cloud environments – Mandatory High degree of technical autonomy, strong analytical mindset, and fluent communication skills in English (written and verbal) – Mandatory Show more Show less