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:
- Integrate message brokers and asynchronous task queues (Kafka, RabbitMQ, Celery)
- Develop and maintain scalable backend services using Python and Java
- 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.
Originally posted on