Senior Fullstack Developer (100% remote Worldwide)

Join Tether and shape the future of digital finance. As a Senior Fullstack Software Engineer, you will contribute to building and scaling our GPU-accelerated cloud services platform, impacting how developers deploy AI models in production environments.

• Design and implement robust backend services and APIs that handle AI model inference, resource orchestration, and workload distribution across distributed GPU infrastructure
• Build responsive and intuitive web interfaces for training job management, model deployment workflows, and real-time monitoring dashboards using modern JavaScript frameworks
• Contribute to the design and implementation of distributed systems using peer-to-peer technologies (Holepunch stack)
• Develop and maintain APIs that support both synchronous and asynchronous inference patterns, ensuring compatibility with industry standards
• Implement monitoring, logging, and telemetry solutions to ensure high availability and performance of the platform services
• Work closely with DevOps, AI/ML engineers, and product teams to deliver integrated solutions that meet technical and business requirements
• Maintain high standards for code quality through peer reviews, testing, and documentation while championing security best practices

• 5+ years of experience in fullstack development with strong emphasis on backend systems
• Expert-level proficiency in Node.js/JavaScript for backend development and React frontend framework
• Proven experience building and scaling distributed systems or event-driven architectures
• Strong understanding of API design and implementation, including authentication, rate limiting, and versioning
• Experience with containerization technologies (Docker) and orchestration platforms (Kubernetes)
• Proficiency with databases, and a deep understanding of data modeling and optimization
• Solid understanding of networking, security principles, and best practices for production systems
• Experience with real-time data streaming and RPC implementations
• Ability to work independently in a remote environment and communicate effectively across time zones
• Experience with peer-to-peer technologies (Hyperswarm, libp2p, WebRTC) or similar distributed communication protocols
• Familiarity with AI/ML inference APIs and OpenAI-compatible endpoints
• Previous experience building AI SaaS or PaaS platforms
• Knowledge of GPU resource management and ML framework infrastructure
• Experience with message queuing systems (Redis, RabbitMQ, Kafka)
• Familiarity with observability tools (Prometheus, Grafana, ELK stack)
• Understanding of WebAssembly or edge computing paradigms
• Contributions to open-source projects in relevant domains