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Posted 1mo ago

Full Stack Engineer, Mobile

@ Shift Robotics
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Austin, Texas, United States
OnsiteFull Time
Responsibilities:building apps, interfacing hardware, managing backends
Requirements Summary:3+ years mobile app development; strong Swift and Kotlin skills; BLE experience; cloud (GCP/AWS) backend experience; CI/CD, App Store/Google Play deployment, AI-assisted tooling, and strong CS fundamentals.
Technical Tools Mentioned:Swift, Kotlin, BLE, GCP, AWS, App Store Connect, Google Play Console, CI/CD, GitHub Actions, Fastlane, Gitlab Runner, Cursor, LLMs, Kotlin Multiplatform (KMP)
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Job Description

We are looking for a versatile, forward-thinking Mobile & Full-Stack Engineer who loves bridging the gap between hardware, mobile platforms, and cloud infrastructure. You aren’t just a mobile developer; you understand the entire app lifecycle, from DevOps pipelines to backend services.

We value strong engineering fundamentals in native technologies (Kotlin and Swift), but we are highly progressive—we embrace modern workflows, actively encourage the leverage of AI tools to speed up development, and are open-minded toward cross-platform ideas.

If you love deep-diving into Bluetooth/BLE protocols one day, deploying cloud functions the next, and utilizing cutting-edge AI to automate the boring stuff, we want to talk to you.

Responsibilities

  • Cross-Platform & Native Development: Design, build, and maintain high-performance applications for both iOS and Android, ensuring a seamless user experience.
  • Hardware Interfacing: Work deeply with Bluetooth/BLE technologies on mobile apps to interact securely and reliably with embedded devices.
  • Full-Stack & DevOps Ownership: Integrate and manage backends using Cloud (e.g. GCP, AWS...etc.) services. Own the app-related lifecycle, including CI/CD pipelines and deployment automated testing.
  • End-to-End Security: Implement robust security features, including user authentication, backend service authorization, and encrypted Over-The-Air (OTA) firmware upgrades.
  • AI-Driven Efficiency: Actively leverage AI development tools (e.g., Cursor, LLMs) to accelerate prototyping, code generation, debugging, and documentation.
  • API Crafting: Develop and optimize APIs to support robust mobile functionality.
  • Collaborate & Innovate: Partner with hardware teams and UI/UX designers to bring products from concept to the hands of users.