Backend Developer Python

5 days ago

Bangalore, India PROADSW3 Relations pvt. ltd. Full time

# ; Job Title: Backend Developer (Python | FastAPI | Kubernetes | Socket.IO)# ; Location: Bangalore, India # ; Employment Type: Permanent # ; Experience: 5+ Years (No Gaps / No Overlapping Tenure) About the Role We are seeking a highly skilled Backend Developer experienced in building production-grade, scalable backend systems that serve 10,000+ concurrent users . The ideal candidate has deep expertise in FastAPI, Python, Socket.IO , and Kubernetes , with a proven track record of designing microservices that perform efficiently at scale. If you’re passionate about asynchronous systems , real-time APIs , and high-performance backend engineering , we’d love to meet you. Key Responsibilities Design, develop, and maintain high-performance backend services using Python and FastAPI . Build and manage asynchronous APIs and real-time communication systems using Socket.IO and async.io . Architect and deploy backend services capable of handling 10,000 concurrent users in production. Work extensively with message queues such as Celery , RabbitMQ , or AWS SQS for distributed task management. Implement and optimize database solutions — PostgreSQL , MongoDB , Databricks , or Apache Iceberg . Design scalable microservices architectures and ensure efficient service communication and load balancing. Collaborate with DevOps to understand Kubernetes scaling , focusing on API performance and microservice resilience within K8s clusters. Ensure code quality, testing, and performance optimization for production-grade deployments. Participate in system architecture discussions , code reviews , and CI/CD automation to enhance development velocity. Must-Have Skills ✅ Backend Development: Strong hands-on experience in Python (production grade) . ✅ Frameworks: Deep expertise in FastAPI . ✅ Real-time Systems: Experience with Socket.IO and async programming (async.io) . ✅ Kubernetes: In-depth knowledge of scaling APIs and running microservices in Kubernetes (not deployment setup). ✅ Queues: Strong understanding of Celery , RabbitMQ , or AWS SQS . ✅ Databases: Experience with PostgreSQL , MongoDB , Databricks , and Apache Iceberg . ✅ Scalability: Proven experience managing production systems serving 10k+ users . ✅ Professional Integrity: No career gaps or overlapping employment. Good to Have Familiarity with Docker , Redis , and CI/CD pipelines . Exposure to monitoring tools (Prometheus, Grafana, ELK stack). Experience with microservice observability and API versioning . Understanding of distributed systems and fault tolerance .

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