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Python Backend Engineer

Python Backend Engineer 100% Remote$75 an hour on C2CContract
Job Description: We are building a next-generation virtual assistant platform that enables natural and responsive voice and chat-based interactions. The platform integrates with internal and external systems to deliver seamless, real-time user experiences at scale. As part of our growing team, we're looking for a skilled Python Backend Engineer to help us build reliable, high-performance backend systems.
Role Overview: This role involves developing robust backend services and integrating them into a scalable system architecture. You'll work on a variety of microservices that support voice and chat experiences, as well as contribute to API development, third-party system integrations, and performance optimizations.
Key Responsibilities: Design, develop, and maintain Python-based backend services. Build and integrate scalable APIs and microservices. Work with cross-functional teams on system design and backend workflows. Optimize backend performance using distributed technologies (e.g., caching, message queues).Collaborate on integration with third-party platforms and services.
Qualifications:
  • 7+ years of Python development experience in production environments
  • Strong experience building asynchronous, API-driven microservices
  • Proficiency with scalable backend architectures and system integration
  • Familiarity with distributed systems (e.g., queues, caching, search indexing)
Bonus: Experience with AI/LLM APIs or interest in learning AI-focused frameworks
What We're Looking For:
  • Strong engineering fundamentals and problem-solving skills
  • Experience working in agile, cross-functional teams
  • Solid communication and collaboration skills
  • Comfort with modern development and deployment tools (e.g., containers, CI/CD)
  • Our Technical Environment Includes:
  • Modern Python frameworks for asynchronous API development
  • Distributed systems technologies for caching, data search, and messaging
  • Containerized infrastructure and cloud-based CI/CD pipelines
  • Select integration with AI and language model APIs (where relevant)