Back End Developer

A medical AI startup that developed a groundbreaking life-saving solution. The company’s AI platform detects critical medical conditions (such as blocked blood vessels, strokes, and more) through imaging scans, alerting radiologists in real time. The product is already deployed in U.S. hospitals and has FDA approvals.

Headquartered in Tel Aviv near the train line, the company works in a hybrid model (two days per week from home) and employs 400 people.

Role desperation-

• Part of the Data Infra team within the Research Platform group
• Build and maintain the company’s core data infrastructure
• Focus on diverse medical data collected for algorithm development and customer-facing tools
• Manage ingestion of raw data from production systems and hospitals into the central Data Lakehouse
• Design and implement scalable data infrastructure architecture
• Develop advanced tools for consumption and analysis of large-scale, heterogeneous datasets for Research, Product, and Business teams
• Tech stack: Python, AWS, Terraform, EventBridge, SQS, SNS, DynamoDB, Kinesis, S3, Spark, Airflow, dbt, Kafka

Requirements:

• 5 years of development experience (can come from a Data Engineer or Backend Developer background) with significant experience in data
• Strong Python skills (mandatory)
• Bachelor’s or Master’s degree (advantageous)
• Hands-on experience with AWS (mandatory)
• Experience with data pipelines using at least one of: Spark, Airflow, dbt, Kinesis, Kafka (mandatory)
• Experience with AWS services such as S3, SQS, SNS, EC2, ECS, Kinesis, Lambda (strong advantage)
• Experience working with high-scale systems (mandatory)
• Familiarity with modern data platforms such as Databricks or Snowflake
• Proven experience in data infrastructure ingestion and pipeline deve