• Provide product feedback on AI solutions • Assist utilities in adopting technology

• Own the architecture and long-term evolution of Moonshot’s Flutter app across iOS and Android. • Design, implement, and maintain a company-wide mobile design system and component library, in close collaboration with Design. • Build highly interactive trading experiences: live prices, charts, order tickets, order history, notifications, and portfolio views. • Drive mobile performance and reliability: profiling, optimizing frame rendering, managing memory/network usage, and minimizing crashes. • Implement and maintain automated testing (unit, widget, integration) and help define release and QA processes. • Collaborate with Product and Growth to integrate analytics, A/B testing, feature flags, and event tracking directly into the app. • Partner with Backend/Platform engineers on API design, data models, error handling, and resilience (retries, fallbacks, offline behaviour). • Lead by example through code reviews, design docs, and mentorship, raising the bar for mobile excellence. • Participate in on-call rotations for mobile-related incidents and drive root-cause fixes.

• Develop and maintain mobile and web applications using Flutter (Dart, Flutter SDK). • Implement design systems and component libraries in Flutter for both iOS/iPad and web platforms. • Work with state management solutions (Provider, BLoC) and apply SOLID principles in daily development. • Integrate REST APIs/JSON and work with CI/CD pipelines. • Collaborate effectively in an agile, international environment.

• Join our L2/L3 team to develop high-performance system software and algorithmic solutions that power 5G network infrastructure. • Develop and optimize high-performance data processing algorithms and engines using C99. • Implement system-level software components for network data flows, buffering, and memory management. • Design and optimize data structures, algorithms, and computational modules for 5G network processing. • Collaborate with L2/L3 team members on system architecture and performance optimization challenges. • Profile and tune system performance, memory usage, and computational efficiency of network software. • Implement multi-threaded system components and concurrent data processing pipelines. • Debug complex system-level issues and optimize algorithmic bottlenecks in network processing.