Python Developer

An established, prominent healthcare technology corporation that develops an AI-powered diagnostic platform engineered to detect critical, life-threatening medical conditions in real time.

Operating with a global workforce, the enterprise combines cutting-edge machine learning with high-scale data engineering to support healthcare providers worldwide.

The company is located in Tel Aviv (train-accessible) and operates on a hybrid model of two days of remote work.

Key Responsibilities-

• Designing, developing, and optimizing high-volume batch and real-time data ingestion pipelines using distributed streaming frameworks.
• Writing performance-tuned, scalable production code inside microservices and asynchronous messaging architectures.
• Automating and provisioning cloud infrastructure, resource schedulers, and serverless compute jobs utilizing configuration management tools.
• Managing complex data lake storage schemas, relational/non-relational databases, and orchestration engines to maintain information velocity and consistency.
• Profiling data architectures to eliminate system lag, reduce pipeline costs, and maintain zero-downtime execution environments.
• Tech Stack- Python, AWS, Terraform, EventBridge, SQS, SNS, DynamoDB, S3, Kinesis, Kafka, Spark, Airflow, and DBT.

Requirements-

• 5 years of professional software engineering experience specializing in backend architectures, distributed systems, or software development (Mandatory).
• Significant hands-on experience engineering data-centric systems, complex data pipelines, or high-scale data processing architectures (Mandatory).
• Comprehensive, production-grade programming proficiency utilizing Python (Mandatory).
• Proven hands-on development experience building and deploying cloud-native systems within the AWS ecosystem (Mandatory).
• Practical technical familiarity with advanced data processing frameworks and event streaming tools like Spark, Airflow, DBT, Kafka, or Kinesis is a highly significant professional advantage.
• Direct engineering experience working with AWS services (such as S3, SQS, SNS, EventBridge, DynamoDB, or Lambda) and infrastructure infrastructure tools like Terraform is a significant advantage.