Python Developer

A world-class Health-Tech leader at the forefront of the AI medical revolution. The company develops a breakthrough platform designed to save lives by detecting critical medical conditions in real-time through sophisticated machine learning.

With a global presence and a robust R&D center of over 400 professionals, the organization is scaling its high-performance infrastructure to support mission-critical healthcare operations worldwide. Located in Central Israel, the company fosters an elite engineering culture with a hybrid work model.

Responsibilities-

• Infrastructural Engineering: Designing and implementing robust, scalable data infrastructures using Python and AWS.
• Real-Time Data Streaming: Building high-throughput data pipelines utilizing Kinesis, Kafka, and Spark to ensure real-time medical insights.
• Cloud Architecture & Automation: Managing and automating cloud environments via Terraform, leveraging a diverse AWS ecosystem (EventBridge, SQS, SNS, DynamoDB).
• Advanced Data Pipelines: Orchestrating complex data workflows with Airflow, DBT, and S3 to support both research and production-grade AI.
• E2E Data Ownership: Taking full responsibility for the stability, performance, and scalability of the data platform that powers life-saving decisions.

Requirements-

• At least 6 years of professional experience in software development – Mandatory.
• Significant hands-on experience in Data Engineering or Data Infrastructure – Mandatory.
• Strong development skills in Python – Mandatory.
• Deep, practical experience developing within AWS environments – Mandatory.
• Familiarity with modern data tools (e.g., Spark, Airflow, Kafka, or Terraform) – Significant Advantage.
• The ability to tackle complex distributed systems challenges in an environment where precision and reliability are paramount.