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Job Position Company Posted Location Salary Tags

Pulley

Remote

$140k - $165k

Spexi

Vancouver, Canada

$62k - $76k

Layerzerolabs

Vancouver, Canada

$90k - $110k

Monad Foundation

United States

$84k - $149k

Kraken

European Union

$58k - $78k

Kraken

European Union

$58k - $78k

Copperco

Remote

$105k - $161k

Kiln

London, United Kingdom

$74k - $84k

Keyrock

London, United Kingdom

$90k - $93k

Improbable

United Kingdom

$157k - $171k

Bitpanda

Remote

$117k - $156k

Dune

London, United Kingdom

$124k - $144k

Dune

London, United Kingdom

$126k - $150k

Dune

London, United Kingdom

$124k - $144k

Cryptio

Paris, France

$85k - $86k

Join Tether and Shape the Future of Digital Finance

At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether

Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.

But that’s just the beginning:

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 like KEET, 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

Job requirements

  • 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