Tether Power

Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.

Tether Data

Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions likeKEET, our flagship app that redefines secure and private data sharing.

Tether Education

Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.

Tether Evolution

At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.

Why Join Us?

Our team is a global talent powerhouse, working remotely from every corner of the world.

If you're passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards.

We've grown fast, stayed lean, and secured our place as a leader in the industry.

If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.

Are you ready to be part of the future?

About The Job As a Senior Fullstack Software Engineer on the CosmicAC team, you will play a critical role in building and scaling our GPU-accelerated cloud services platform.

You'll work on both the backend infrastructure that powers AI/ML workloads at scale and the frontend interfaces that make these capabilities accessible to developers and data scientists.

This position requires deep technical expertise in distributed systems, strong backend development skills, and the ability to create intuitive user experiences.

You'll be joining a team that's pushing the boundaries of decentralized AI infrastructure, working on everything from Kubernetes orchestration and managed inference services to API design and real-time monitoring dashboards.

Your work will directly impact how developers interact with and deploy AI models in production environments.

Responsibilities Backend Development: Design and implement robust backend services and APIs that handle AI model inference, resource orchestration, and workload distribution across distributed GPU infrastructure

Frontend Implementation: Build responsive and intuitive web interfaces for training job management, model deployment workflows, and real-time monitoring dashboards using modern JavaScript frameworks

Distributed Systems Architecture: Contribute to the design and implementation of distributed systems using peer-to-peer technologies (Holepunch stack)

API Design & Integration: Develop and maintain APIs that support both synchronous and asynchronous inference patterns, ensuring compatibility with industry standards

Platform Reliability: Implement monitoring, logging, and telemetry solutions to ensure high availability and performance of the platform services

Cross-functional Collaboration: Work closely with DevOps, AI/ML engineers, and product teams to deliver integrated solutions that meet technical and business requirements

Code Quality & Best Practices: Maintain high standards for code quality through peer reviews, testing, and documentation while championing security best practices

Qualifications 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

Preferred 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

Important information for candidates

Recruitment scams have become increasingly common.

To protect yourself, please keep the following in mind when applying for roles:

Apply only through our official channels.We do not use third-party platforms or agencies for recruitment unless clearly stated.

All open roles are listed on our official careers page:

Verify the recruiter's identity.All our recruiters have verified LinkedIn profiles.

If you're unsure, you can confirm their identity by checking their profile or contacting us through our website.

Be cautious of unusual communication methods.We do not conduct interviews over WhatsApp, Telegram, or SMS.

All communication is done through official company emails and platforms.

Double-check email addresses.All communication from us will come from emails ending ******@tether.io

We will never request payment or financial details.If someone asks for personal financial information or payment at any point during the hiring process, it is a scam.

Please report it immediately.

When in doubt, feel free to reach out through our official website.

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