• Lead the multi-year roadmap and long-term architecture for the UDS client stack, balancing immediate execution with systemic platform evolution. • Design and operate a high-performance data access layer that abstracts complexities like indexing, replication, and global consistency models. • Lead deep-dive design reviews and establish best practices for building fault-tolerant distributed systems across the organization. • Act as a bridge between infrastructure and product, creating a unified interface that simplifies how engineers interact with complex data systems. • Partner with UDS and Data Infrastructure teams globally to align architecture, drive adoption, and deliver high-impact solutions.

• As a Software Engineer (Django + React Native) at Wingz, you will be responsible for developing and maintaining backend APIs and mobile application features. • You will work closely with cross-functional teams to deliver reliable, scalable, and high-performance software supporting our NEMT platform. • Design, develop, and maintain scalable APIs using Django REST framework. • Write clean, efficient, and reusable code following best practices and coding standards. • Ensure the performance, quality, and responsiveness of applications. • Build and enhance mobile application features using React Native for iOS and Android. • Participate in code reviews, providing and receiving constructive feedback to ensure code quality. • Collaborate with DevOps engineers to optimize deployment processes and infrastructure. • Write unit tests and perform debugging to ensure the reliability of applications. • Maintain comprehensive documentation of the codebase and technical processes.

• Build the core systems behind Runware’s serverless platform, including workload execution, routing, scheduling, isolation and scaling leveraging our inference engine • Make it simple for developers to deploy models and run AI workloads without managing GPUs, servers, queues or infrastructure through a simple SDK interface • Design and improve the control plane for serverless execution, including APIs, workers, lifecycle management, retries and failure handling • Work closely with our infrastructure and ML teams to improve workload startup time, GPU utilisation, model warm-up, caching and placement • Build observability that makes serverless workloads easy to monitor, debug and operate at scale globally • Lead the technical design, mentor other engineers and help define the engineering standards for a new product area

• Leverage AI tools (Claude Code, Cursor) as primary development environments • Design and orchestrate agentic workflows and sub-agents • Use AI to accelerate development, testing, and debugging • Build and maintain scalable frontend and backend systems • Develop across multiple portals (Consumer, Clinic, Enterprise, Platform, Referral, Admin) • Ensure clean, maintainable, and high-quality code • Optimize database queries and system performance • Design and manage caching layers and connection pools • Build systems capable of handling millions of concurrent users • Ensure all code passes automated review pipelines (5+ bots) before human review • Meet SonarCloud quality gates on first push • Maintain strict security best practices and hygiene • Architect distributed systems for global scale • Ensure reliability, fault tolerance, and high availability • Collaborate on infrastructure and backend architecture decisions