Senior Fullstack Developer

Join Tether as a Senior Fullstack Developer to build and scale GPU-accelerated cloud services.

Work remotely on cutting-edge AI/ML infrastructure with a global team.

Join Tether and Shape the Future of Digital Finance.

At Tether, we’re pioneering a global financial revolution.

Our solutions empower businesses to integrate reserve-backed tokens across blockchains.

Tether enables instant, secure, and global digital token transactions at a fraction of the cost.

Transparency ensures trust in every transaction.

## What you'll do

• •Design and implement robust backend services and APIs for AI model inference and resource orchestration.
• •Build responsive web interfaces for training job management and model deployment using modern JavaScript frameworks.
• •Contribute to distributed systems architecture using peer-to-peer technologies.
• •Develop and maintain APIs supporting synchronous and asynchronous inference patterns.
• •Implement monitoring and telemetry solutions for platform reliability.
• •Collaborate with DevOps, AI/ML engineers, and product teams.
• •Maintain high standards for code quality through peer reviews and testing.

## Conditions

• •Work remotely from anywhere in the world.
• •Collaborate with a global team of talented individuals.
• •Competitive salary ranging from 165,000 to 230,000 USD per year.

• •5+ years of experience in fullstack development with a strong emphasis on backend systems.
• •Expert-level proficiency in Node.js/JavaScript and React.
• •Proven experience building and scaling distributed systems.
• •Strong understanding of API design and implementation.
• •Experience with Docker and Kubernetes.
• •Proficiency with databases and data modeling.
• •Solid understanding of networking and security principles.
• •Experience with real-time data streaming and RPC implementations.
• •Ability to work independently in a remote environment.

**Preferred:**

• •Experience with peer-to-peer technologies or 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.
• •Familiarity with observability tools.
• •Understanding of WebAssembly or edge computing paradigms.
• •Contributions to open-source projects in relevant domains.