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Tether Operations Limited

Senior Fullstack Developer

9.0/10

Tether Operations Limited

$165,000 – $230,000 USD
Remote
senior
about 2 months ago
aicryptodevfintechweb3Node.jsJavaScriptReactDockerKubernetesRedisRabbitMQ

AI Summary

The vacancy is well-structured with clear responsibilities, competitive salary, and a detailed tech stack, suitable for senior developers.

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Description

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.

Requirements

  • •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.
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