Software Engineer

Clalit is the second-largest healthcare organization in the world. With 50,000 employees, it serves over half Israel's population and owns nearly half of the country's hospitals. Clalit also maintains one of the world's largest and most diverse medical databases. Clalit Innovation is Clalit's dedicated innovation arm, where we develop products and publish research that save people's lives.

We are building a high-performing platform team to help our data scientists move fast, safety and at scale. We're looking for a hands-on Software Engineer to lead a multidisciplinary team consisting of data engineering, DevOps, and MLOps professionals. If you enjoy solving data and infrastructure challenges, thrive in a collaborative environment, and are excited by the impact of healthcare innovation, we want to hear from you.

What you'll do:

As an ML Productivity Engineer, you'll focus on developing internal tooling and infrastructure to significantly enhance the software engineering practices and productivity of our Data Science team. For example, you will :

• Design and implement high-level solutions and workflows to improve code quality, modularity, and maintainability.
• Develop systems and tools that automate and streamline development processes.
• Mentor data scientists on software engineering best practices and principles.
• Collaborate with data engineers, DevOps, and Data Scientists to identify and resolve productivity challenges.

Who You are:

• Strong software engineering skills, with 3 + years of experience in Python (including profiling, async, optimizations, etc.,).
• Experience designing and implementing scalable system architectures, with the ability to reason about system design trade-offs and their impacts on productivity and maintainability.
• Experience with software architecture, clean coding principles, and best engineering practices.
• Excellent communication skills with the ability to mentor and educate technical teams.
• Proactive problem silver focused on continuous improvement and efficiency.

Nice to have:

• Familiarity with ML and Data Science workflows or tooling (e.g., Airflow , MLflow).
• Experience with Infrastructure as Code (IaC) and CI/CD practices.
• Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
• Previous experience developing internal productivity tools or platforms.

To apply, send your CV to : [email protected], please include that you are applying to the " Software Engineer- position #1101"