PUBLICIDADE

Última atualização: 4 de Agosto de 2025

Sr. IOS Developer

🌍 100% Remoto💬 Inglês✈️ Vaga internacional🧓🏽 Sênior

Via Greenhouse

Sobre

As a Sr. iOS Developer, you will play a key role in the migration and development of an iOS application by translating and integrating an existing Node.js backend. You’ll work closely with a Technical Lead on complex technical challenges (75% of your time) and support Principal Investigators (PhDs, doctors, and educators) in transforming research goals into technical solutions (25% of your time).

This role requires strong expertise in both iOS and backend systems, with a particular focus on Swift and Node.js, as well as the ability to collaborate effectively with cross-functional and research-driven teams.

Essential Duties & Responsibilities:

  • Translate and refactor Node.js logic into high-quality Swift code for iOS
  • Lead iOS development efforts with a focus on stability, performance, and compliance
  • Troubleshoot and remediate issues, ensuring robust system behavior
  • Manage and execute the App Store release process in line with Apple’s guidelines
  • Collaborate with an Azure-based backend to ensure smooth integration with mobile features
  • Support data-driven features in collaboration with data science teams using AWS SageMaker
  • Partner with Principal Investigators to understand and translate research needs into scalable, maintainable solutions
  • Provide expert technical support and guidance to non-technical stakeholders

    Qualifications:
  • Extensive experience in Swift and native iOS development
  • Strong proficiency in Node.js, especially for system integration and logic translation
  • Familiarity with Azure backend environments and APIs
  • Proven track record of managing App Store deployments and app lifecycle maintenance
  • Strong problem-solving mindset and attention to detail
  • Excellent communication skills, especially when interacting with non-technical audiences

    Preferred Qualifications:
  • Experience with machine learning models or data-centric applications
  • Exposure to AWS SageMaker or similar cloud-based ML services

Outras Informações

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