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Mobile Architect

3B Staffing LLC

 

New York, NY, USA

Posted On: 4 days ago
Experience: 5+ years
Availability: Onsite
Openings: 2
Category: Mobile Architect
Tenure: No Preference/Any
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Description

Architect scalable, multi-module mobile systems for iOS and Android, integrating AI-assisted development and intelligent client-side orchestration.

This role is on-site.

Responsibilities

  • Lead and govern a scalable, multi-module architecture (iOS and Android) enabling parallel development across cross-functional teams.
  • Drive design patterns for intelligent mobile clients, including local orchestration engines, autonomous task execution, and smart background processing.
  • Direct the execution of location-aware systems with hyper-precise geofencing and battery-optimized real-time background tracking.
  • Architect platform-native, on-demand delivery strategies integrated with OTA remote configuration to optimize binary size and decouple personalization from app store cycles.
  • Establish a disciplined release train, owning feature-toggle lifecycle, kill-switch protocols, branching strategies, and environment promotion gates.

Required Skills

  • 5+ years of experience in mobile architecture, specifically with iOS and Android platforms.
  • Deep proficiency in leveraging AI-assisted development tools such as GitHub Copilot and Claude to accelerate development.
  • Strong expertise in designing secure, high-throughput integration layers using REST and GraphQL.
  • Experience with on-demand delivery strategies, OTA remote configuration, and binary size optimization.
  • Knowledge of location-aware systems, geofencing, and background processing optimization.
  • Familiarity with feature toggles, branching strategies, and app store operations including phased rollouts.
  • Ability to collaborate with enterprise architects on secure integration layers for payment gateways and loyalty engines.

Preferred Skills

  • Experience with token-driven UI architectures and automating design primitive ingestion into native code.
  • Knowledge of on-device ML models and local LLM runtimes for privacy-first user experiences.
  • Familiarity with approved APM, error reporting, and analytics tooling.

Education

Any Graduate

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