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Senior Full-Stack Kotlin Engineer (Europe)

🇬🇧 London, United Kingdom Fully remote5+ years
Required Candidate location: Europe

This position is no longer available

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Skills & Languages

Must-have required
Android3 Year(s)Kotlin3 Year(s)Kotlin Multiplatform (KMP)3 Year(s)
Languages required
English

About the Role


This senior contract position involves driving the technical direction for a remote care platform that utilizes companion robots, mobile apps, and web portals to support independent living. You will lead the architectural migration from V1 to V2, making foundational choices that will define the platform for years to come. Operating as a fullstack engine, you will bridge backend APIs, data pipelines, and Android robot applications while integrating advanced AI capabilities like fall detection and chatbot triage to maximize care efficiency.


This position is available for candidates located and authorized to work in Europe.

Most Important

  • Expert Fullstack Kotlin Proficiency with a deep background in Ktor, Spring Boot, and Kotlin/JS or Compose for Web.
  • AI Native Development Workflow where at least 70% of your daily output is generated via tools like Claude Code, Cursor, or Copilot.
  • Platform Migration Leadership focusing on moving a complex ecosystem from V1 to V2 with high level architectural ownership.
  • Android Development Capability to maintain and enhance robot applications and mobile interfaces as needed.
  • Strategic Roadmap Ownership involving high level architecture decisions and build versus buy evaluations alongside business leadership.
  • Hands on AWS Infrastructure management including CI/CD, containerization, and observability to maintain a small team's efficiency.
  • IoT Integration Experience for connecting medical devices such as pulse oximeters and thermometers for virtual ward use cases.

Nice to Have

  • Kotlin Multiplatform (KMP) Experience to maximize code leverage across the entire ecosystem.
  • HealthTech Regulatory Knowledge including familiarity with NHS Digital, DTAC frameworks, or audit trails.
  • Assistive Technology Background or previous experience in robotics and remote monitoring.
  • LLM Implementation Skills specifically regarding building production features for predictive alerts or triage.
  • IoT Protocols and device management experience at scale.

Includes 2 screening questions.

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