Mobile Engineer

A profitable, high-growth HealthTech leader developing an AI-driven digital health platform for cardiovascular care management.

The platform combines mobile technology, connected medical devices, and predictive machine learning models to track vital signs, medication adherence, and lab results, providing smart real-time alerts to prevent cardiac events.

Serving over 100 million active users across the US market, the company employs hundreds of professionals globally, with around 100 driving its primary R&D center in Israel.

Located in central Israel (walking distance from major train and light rail stations), operating on a flexible hybrid work model.

Role Description-

• Joining the core App Platform & Infrastructure team, building SDKs, core frameworks, and reusable architecture modules used by all product development squads.
• 80% Mobile focus using React Native alongside Web development and supporting Backend integrations (Python, Scala).
• Designing, implementing, and delivering reusable UI components, mobile architecture tools, and cross-application design patterns.
• Solving cross-organizational engineering challenges, including internal CI/CD automation, application performance tuning, and build infrastructure.
• Leveraging modern AI-assisted engineering tools throughout the software design and development lifecycle.

Requirements-

• B.Sc. in Computer Science, Software Engineering, or a related technological discipline (or equivalent practical experience) – Mandatory
• 7 years of professional experience as a Full-Stack / Mobile Software Engineer building production-grade platforms – Mandatory
• Proven hands-on Mobile development experience (React Native OR Native iOS/Android via Swift/Kotlin/Flutter alongside strong React proficiency) – Mandatory
• Backend development experience with languages such as Python, Scala, Java, Ruby, or Go – Mandatory
• Hands-on experience using AI coding tools (Copilot, Cursor, etc.) within the development lifecycle (reviewing, validating, and optimizing AI-generated code) – Mandatory
• Experience with relational/NoSQL databases (PostgreSQL, MongoDB) and cloud architectures (AWS, Docker, Kubernetes) – Mandatory
• Solid understanding of distributed systems, microservices, and API design – Mandatory