Backend Systems Engineer

3 weeks ago


Bengaluru, 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 RoleWe 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 ResponsibilitiesDesign, 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 HaveFamiliarity 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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