Senior Developer

RapsodoSt. Louis, MO

About The Position

This role exists to be the connective tissue between cross-functional teams, translating complex system trade-offs into clear decisions and embedding AI-assisted development into how we build. This is a role for an engineer who thinks in systems, executes with precision, and communicates with clarity.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of mobile development experience with deep familiarity across both Android and iOS ecosystems.
  • 3+ years shipping Kotlin Multiplatform in production.
  • Deep command of Clean Architecture, modularization, and separation of concerns in multi-platform systems.
  • Proven experience designing shared domain and data layers with well-defined boundaries between shared logic and platform-specific UI.
  • Strong command of Kotlin Coroutines, Flow (StateFlow, SharedFlow), and cross-platform concurrency models.
  • Hands-on experience with dependency injection (Koin or equivalent) in multi-module environments.
  • Familiarity with Compose Multiplatform and native UI frameworks (SwiftUI/UIKit, Jetpack Compose).
  • Experience architecting networking and data layers in a multiplatform context, including offline-first design, sync strategies, and caching.
  • Strong understanding of KMP–iOS interoperability and the nuances of designing APIs for Swift consumers.
  • Solid experience with Gradle, dependency management, and CI/CD pipelines for multi-platform projects.
  • Experience building device-connected applications (BLE, Wi-Fi, TCP) with a focus on reliability and real-time data handling.
  • Proven ability to translate complex technical decisions into clear specifications that align cross-functional teams.
  • Strong communicator who can cut through complexity and align stakeholders across mobile, backend, firmware, and QA.
  • Substantial hands-on experience with AI-assisted development tools and a track record of integrating them meaningfully into engineering workflows.
  • Sharp judgment when evaluating AI-generated outputs—knowing when to trust, when to verify, and when to rewrite.

Responsibilities

  • Champion AI-assisted development across architecture, design, and implementation—driving adoption and establishing the practices that make it last.
  • Define and own best practices for AI-assisted system design, code generation, documentation, and testing.
  • Assess and integrate AI tooling into the development lifecycle with a focus on security, scalability, and long-term maintainability.
  • Assess incoming feature requests and determine technical feasibility within the Kotlin Multiplatform codebase.
  • Own architectural scoping—articulating trade-offs and risks, particularly at the boundary between shared and platform-specific code.
  • Design and document scalable architectures that clearly define module boundaries, data flow, threading models, and dependency injection strategies.
  • Lead KMP technical decision-making, keeping solutions aligned with iOS and Android platform constraints and best practices.
  • Define and execute migration strategies from legacy implementations to shared KMP modules where the tradeoff is justified.
  • Coordinate cross-functional dependencies across firmware, backend, Unity, and QA to maintain system-wide consistency and delivery commitments.
  • Build and maintain a living knowledge base—architecture documentation, system diagrams, and technical specs that teams actually use.
  • Continuously improve developer experience through smarter tooling, build optimization, CI/CD, and modularization.
  • Set and uphold high standards for code quality, testability, and maintainability across shared and platform-specific code.
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