Software Development Engineer III - Python, FastAPI

Role 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.