Big Data Engineer

A highly successful and stable Israeli technology leader at the forefront of Edge Infrastructure Security. The organization develops world-class software that enables large-scale enterprises to manage and secure remote computing fleets globally, ensuring optimal performance and connectivity from any location.

Recognized as a global authority in its domain with significant venture backing, the company combines the technical agility of a high-growth startup with the mission-critical impact of an established industry power.

Operating from the Central District (prime location adjacent to the train) with a flexible hybrid model, the company fosters an elite engineering culture built on stability and innovation.

Responsibilities

• Real-Time Data Pipelines: Designing and implementing complex Streaming architectures to process massive volumes of infrastructure data in real-time.
• High-Scale Engineering: Developing robust services primarily in Java, with exposure to Scala, within a modern Microservices and Cloud-native environment.
• Big Data Ecosystem: Leveraging industry-leading frameworks such as Kafka, Flink, or Spark to ensure low-latency data processing and actionable insights.
• Architectural Ownership: Solving deep-tier technical challenges related to scalability, data consistency, and distributed computing at a global scale.
• Innovation: Utilizing AI-first development tools and advanced streaming frameworks to optimize system performance and reliability.

Requirements

• Big Data Expertise: Significant professional experience (5+ years) in Big Data Engineering – Mandatory.
• Core Development: Strong, hands-on software development experience in Java – Mandatory.
• Streaming Mastery: Proven track record with frameworks such as Kafka, Kafka Streams, Flink, Spark, or Beam – Mandatory.
• Cloud Proficiency: Practical experience building and scaling solutions within Cloud environments (AWS/GCP) – Mandatory.
• Technical Depth: A deep understanding of distributed systems, concurrency, and high-performance JVM tuning.