Data Engineer

A highly profitable Israeli-founded technology corporation is expanding its core Data Science and Engineering group. The company develops an AI-driven cardiovascular health management platform serving a massive user base in the U.S. market

The organization is fundamentally changing how individuals manage chronic conditions through the use of predictive AI and high-scale data processing.

The company is located in Central Israel (prime location near major public transport hubs) and operates a hybrid work model with remote flexibility.

Role Overview:

• GenAI & LLM Operations: The individual in this role will join a specialized Data Science unit, focusing on the engineering foundations for Generative AI products and autonomous Agents.
• Production-Grade AI: Designing and implementing robust Python-based code to deploy complex AI models into high-scale production environments.
• Data Pipeline Architecture: Building and optimizing end-to-end data workflows to process massive healthcare datasets with high reliability.
• Scalable Infrastructure: Developing and maintaining distributed systems within a cloud-native ecosystem, utilizing containerization and real-time data streaming technologies.
• High-Performance Storage: Managing diverse data architectures to ensure rapid retrieval of critical medical insights across multiple database technologies.

Requirements:

• Extensive professional experience in Data Engineering or Backend Development – Mandatory.
• Deep proficiency in Python, Java, or Scala – Mandatory.
• Substantial hands-on experience with major Cloud platforms – Mandatory.
• Proven expertise in Kubernetes within production-grade environments – Mandatory.
• Strong architectural understanding of distributed systems and modern data stacks.