Senior C# Developer (Cloud Gaming Platform)

UAPP.AI creates AI-powered mobile and digital products used by over 10 million people across 150+ countries. We build and scale our own products from scratch, meaning every technical decision directly impacts our users and the business. We value autonomy, speed, and a results-oriented mindset with zero corporate bureaucracy.

• Develop and maintain high-performance backend services for game streaming management.
• Work on orchestration tools for virtual Windows machines.
• Identify and eliminate bottlenecks affecting platform latency and system performance.
• Develop custom integration modules to bridge .NET services with low-level streaming components.
• Optimize data transfer and communication protocols (TCP/UDP/WebSockets) within the infrastructure.
• Design technical solutions independently and contribute to the overall product architecture.

• 4+ years of commercial C#/.NET development experience (solid knowledge of .NET 6/8+).
• Deep understanding of asynchronous programming and high-load multithreaded environments.
• Experience with performance optimization, memory management (GC tuning), and profiling tools.
• Hands-on experience with networking (TCP/UDP, WebSockets) and API integration.
• Experience in building scalable backend services for Windows-based environments.
• Ability to break down complex tasks independently and drive technical solutions to production.
• Experience with Cloud Gaming, real-time systems, or game development tools.
• Familiarity with containerization (Docker) and cloud infrastructure (AWS/Azure/GCP).
• Experience working with gRPC or other high-performance serialization frameworks.
• Knowledge of interop scenarios (C# with C++ modules).

• The opportunity to join a Cloud Gaming platform at an early stage and shape its core architecture.
• True engineering tasks where performance and optimization genuinely matter.
• High level of trust — we expect initiative and empower you to make decisions.
• A fast-paced, result-oriented team with a quick decision-making cycle.
• 100% remote work format.
• Compensation: $3,000 – $4,500 (depending on your experience and tech expertise).