Backend Developer (Python + Java) to $3000

We’re looking for a skilled Backend Developer (Middle+) to join the UNI Bot team — a product that empowers organizations with intelligent, modular automation tools. The system is built to support real-time communication, education, customer support, and internal processes across enterprise environments.

You’ll work across a modern and versatile backend stack, helping the team scale and evolve the platform’s microservices and integrations.

Tech Stack:

• Languages & Frameworks: Python (FastAPI), Java (JHipster)
• Messaging: Kafka, RabbitMQ
• Infrastructure & DevOps: Kubernetes, Docker, Redis, Celery
• Cloud: S3 / Cloud Storage, general cloud deployment experience
• Testing: Newman or similar tools for API test coverage
• Bonus: Experience with Angular or frontend exposure is a plus
   

Key responsibilities:

• Develop and maintain scalable backend services using Python and Java
• Integrate message brokers and asynchronous task queues (Kafka, RabbitMQ, Celery)
• Work with DevOps tools and cloud platforms to deploy, monitor, and maintain services
• Address caching issues using Redis and related tools
• Implement secure and scalable file storage using S3 or equivalent
• Collaborate with frontend developers and DevOps engineers on cross-functional features
• Contribute to automated test coverage (e.g., using Newman) and CI/CD flows
• Participate in daily syncs, code reviews, and team planning

Requirements:

• 3+ years of backend development experience
• Strong Python skills with experience in FastAPI or similar frameworks
• Solid Java knowledge (JHipster experience is a plus, but not required)
• Practical experience with message queues and async processing (Kafka, RabbitMQ, Celery)
• Familiarity with Docker, Kubernetes, and cloud environments
• Understanding of caching strategies with Redis
• Experience with API testing tools and writing automated tests
• Good communication skills and ability to work in a distributed team
  
   

About the Project:

UNI Bot is an AI-powered platform designed to streamline and enhance user interactions within enterprise environments. It serves as a smart assistant for a variety of use cases — including education, customer support, internal process automation, and real-time communication.
The platform is built with scalability, security, and flexibility in mind, enabling companies to deploy custom bots tailored to their specific workflows.