Senior Backend Engineer- Python

Job Description

Job Title: Senior Backend Engineer Location: Hyderabad Job Description: We are building a next-gen AI-powered CAD software platform that combines scalable cloud native services with advanced 3D modeling workflows. As a Senior Backend Engineer, you will design, develop, and optimize backend systems that power multi-user collaboration, secure data handling, and seamless integration with CAD Core and AI services. This role focuses on Python, FastAPI, cloud-native architecture, and scalable backend design. Responsibilities Architect and build scalable backend services in Python (FastAPI), ensuring performance with large datasets and multi-user workloads. Implement multi-tenant access control (RBAC/ABAC) to secure projects and enforce fine-grained permissions. Design service-to-service communication between backend services, CAD Core APIs, AI Engine, and Kafka. Manage file storage and processing pipelines for CAD/3D files (DWG, IFC, BREP), including large binary data handling. Build real-time collaboration features (concurrency handling, versioning, conflict resolution). Ensure system reliability and security, including encryption, secure APIs, and compliance with best practices. Develop and maintain cloud-native deployments on AWS (ECS, S3, RDS, Kafka), with an eye for cloud-agnostic design. Create CI/CD pipelines for backend microservices using Git, Docker, and Bitbucket Pipelines. Proactively identify scalability bottlenecks and optimize database queries, file processing, and distributed systems. Collaborate with frontend teams (PyQt desktop, Unreal Engine visualization, React web) to deliver seamless CAD workflows. Qualifications Bachelor's degree in Computer Science/Engineering or equivalent professional experience. 6+ years backend development experience, with strong expertise in Python (FastAPI). Proven experience in scalable system design with microservices and async processing. Strong knowledge of Postgres and familiarity with NoSQL databases (MongoDB, Redis, DynamoDB, etc.). Hands-on experience with cloud deployments (AWS/GCP/Azure), Docker, and CI/CD automation. Solid understanding of security protocols, encryption techniques, and multi-tenant ACLs. Experience with message queues (Kafka, RabbitMQ, or equivalent). Excellent debugging, performance optimization, and problem-solving skills. Self-driven, with ability to balance speed vs. quality in a fast-evolving environment. Nice to have: Exposure to CAD/3D/geometry systems or AI/ML integration.