Description

Responsibilities • • • • • • • • • • • • Architect and build scalable backend services in Python (FastAPI), ensuring performance with large datasets and multi-user workloads. Own reliability, data security, and AI safety — encryption, secure APIs, secrets management, SOC 2 (Type II), and guardrails on AI inputs and outputs. 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. Build the AI backend — RAG pipelines and the AI sandbox that ingests clients' legacy CAD data and emits code and designs, with engineers in the loop. Integrate with external engineering software and systems of record (e.g., Revit, MIDAS, Client), keeping data in sync. 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). Develop and maintain cloud-native, Infrastructure-as-Code deployments on AWS (ECS, S3, RDS, Kafka) using Terraform, cloud-agnostic where possible. 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. 5+ years backend development experience for SDE III (3+ for SDE II), 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), Infrastructure-as Code (Terraform), Docker, and CI/CD. Solid understanding of security, encryption, multi-tenant ACLs, and compliance (SOC 2); familiarity with AI safety / LLM guardrails. Past experience with AI/ML systems — knowledge graphs, RAG, AI harnesses and safety, and model fine-tuning. Familiarity with OpenAPI and code-generation tools (e.g., Stainless) for typed API clients and SDKs. Working knowledge of networking and the TCP/IP stack. Familiarity with Git internals and similar version-control systems; contributions to open-source software a plus. Experience with message queues (Kafka, RabbitMQ, or equivalent). Excellent debugging, performance optimization, and problem-solving skills. Self-driven, with the ability to balance speed vs. quality in a fast-evolving environment. Nice to have: Exposure to CAD/3D/geometry systems, RAG pipelines, or AI/ML integration. Benefits: • Opportunity for professional growth and advancement within the company. • Competitive salary and benefits package. • Dynamic and inclusive work environment with opportunities to collaborate with talented professionals. • Exposure to cutting-edge technologies and projects in the software industry

Key Skills

Education

Bachelor's degree