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Lead IoT Solution Architect (Healthcare)

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Summary

Lead Solution Architect defining the future architecture of a patient-facing peripheral device platform within a connected healthcare ecosystem — evaluating hardware, software, and deployment options for scalable, secure solutions across cloud, hybrid, and offline environments. Core focus: IoT/edge computing, cloud platforms, device connectivity, and identity management.

The Lead Solution Architect is responsible for evaluating and defining the future architecture for a patient-facing peripheral platform within a connected healthcare ecosystem.
This role assesses hardware, software, and deployment options to identify a scalable, secure, and cost-effective solution that supports patient identification, clinical workflows, peripheral device integration, and digital data collection across cloud-connected, hybrid, and offline environments.
The architect will develop architectural recommendations, evaluate technology alternatives, define integration approaches, and establish a roadmap that balances current business needs with future platform evolution.
  • Degree in Computer Science, Systems Engineering, Software Engineering, Electrical Engineering, or a related field.
  • Several years of experience in solution or system architecture for complex, distributed systems.
  • Experience evaluating hardware and software platforms and defining long-term technology strategies.
  • Strong knowledge of edge computing, cloud platforms, device connectivity, identity management, and distributed architectures.
  • Experience integrating hardware devices with enterprise and cloud-based applications.
  • Strong analytical, communication, and stakeholder management skills.

What they ask for

Required

  • Degree in Computer Science, Systems Engineering, Software Engineering, Electrical Engineering, or a related field
  • Several years of experience in solution or system architecture for complex, distributed systems
  • Experience evaluating hardware and software platforms and defining long-term technology strategies
  • Strong knowledge of edge computing, cloud platforms, device connectivity, identity management, and distributed architectures
  • Experience integrating hardware devices with enterprise and cloud-based applications
  • Strong analytical, communication, and stakeholder management skills

Skills

See also

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