BIM Software Engineer Developer – Autodesk Platform Services (APS)

Job Responsibilities

• Develop and maintain cloud-based BIM data processing solutions using Autodesk Platform Services (APS).
• Build workflows leveraging Data Management API and Model Derivative API to ingest, translate, and extract data from Revit models.
• Design and develop automated pipelines for extracting element properties, parameters, metadata, and geometry from BIM models.
• Structure and transform BIM data into scalable analytical formats such as JSON, SQL, and Parquet.
• Develop reliable asynchronous processing workflows, including job orchestration, webhooks, retry mechanisms, and error handling.
• Process and analyze large-scale Revit and IFC models while ensuring performance, scalability, and data integrity.
• Develop solutions for BIM model federation, data aggregation, and cross-discipline analysis.
• Validate extracted model data through reconciliation, schema validation, and quality assurance processes.
• Collaborate with product, engineering, and BIM stakeholders to define data requirements and deliver scalable solutions.
• Maintain source control, testing, and deployment best practices throughout the software development lifecycle.

Required Technologies & Skills

• Autodesk Platform Services (APS) / Autodesk Forge
• Model Derivative API
• Data Management API
• Python
• IFC (Industry Foundation Classes)
• Git
• SQL, JSON, or Parquet
• Experience working with Revit as a BIM data source
• Experience building and consuming REST APIs
• Understanding of cloud-based and asynchronous processing architecture

Strongly Preferred

• Ifc
• OpenShell or xBIM
• Trimesh, shapely, or similar geometry-processing libraries
• APS Viewer / Forge Viewer
• C# / .NET
• Revit API
• Design Automation API
• DuckDB
• Docker
• Kubernetes
• Celery or similar task queue frameworks
• Navisworks, ACC Model Coordination, or Speckle experience

We are particularly interested in hearing from candidates based in the UK, Ireland, Europe, Georgia, and surrounding regions, as these locations align well with the needs of the project and team.