• Provide technical leadership: define and drive the technical vision and architecture for crypto-related products, services, and infrastructure • Design, develop, and deliver scalable, secure and performant software components • Provide technical mentorship and guidance to senior and mid-level engineers; conduct code reviews and promote engineering best practices • Stay at the forefront of blockchain protocols, DeFi, tokenization standards, and crypto industry trends; evaluate and recommend emerging technologies • Drive system reliability, incident response, and operational excellence across crypto platform services

• 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