Software Development Engineer III - Python

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, Fast API, 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.

Requirements :

- Bachelor's degree in Computer Science/Engineering or equivalent professional experience.

- 8+ 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.