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Job Description
<p>Responsibilities :<br/><br/>- Design, develop, and maintain backend systems and RESTful APIs using Python (Django, FastAPI, or Flask)<br/><br/>- Build real-time communication features using WebSockets, SSE, and async IO<br/><br/>- Implement event-driven architectures using messaging systems like Kafka, RabbitMQ, Redis Streams, or NATS<br/><br/>- Develop and maintain microservices that interact over messaging and streaming protocols<br/><br/>- Ensure high scalability and availability of backend services<br/><br/>- Collaborate with frontend developers, DevOps engineers, and product managers to deliver end-to-end solutions<br/><br/>- Write clean, maintainable code with unit/integration tests<br/><br/>- Lead technical discussions, review code, and mentor junior engineers<br/><br/>Requirements :<br/><br/>- 8- 12 years of backend development experience, with at least 8 years in Python<br/><br/>- Strong experience with asynchronous programming in Python (e.g., asyncio, aiohttp, FastAPI)<br/><br/>- Production experience with WebSockets and Server-Sent Events<br/><br/>- Hands-on experience with at least one messaging system : Kafka, RabbitMQ, Redis Pub/Sub, or similar<br/><br/>- Proficient in RESTful API design and microservices architecture<br/><br/>- Solid experience with relational and NoSQL databases<br/><br/>- Familiarity with Docker and container-based deployment<br/><br/>- Strong understanding of API security, authentication, and performance optimization<br/><br/>Nice to Have :<br/><br/>- Experience with GraphQL or gRPC<br/><br/>- Familiarity with stream processing frameworks (e.g., Apache Flink, Spark Streaming)<br/><br/>- Cloud experience (AWS, GCP, Azure), particularly with managed messaging or pub/sub services<br/><br/>- Knowledge of CI/CD and infrastructure as code<br/><br/>- Exposure to AI engineering workflows and tools<br/><br/>- Interest or experience in building Agentic AI systems or integrating backends with AI agents</p> (ref:hirist.tech)
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