Job Description:

Role: IFC Engineer

Location: Singapore

1. Project Overview

The IFC Quality Checker is an automated validation system for Building Information Modelling (BIM) files in IFC4 format.

The system validates architectural, mechanical/electrical, and structural models against 8 predefined quality check rules and generates standardised reports.

2. Technical Architecture

Core Components:

AWS ECS Fargate: 8 containerised tasks for parallel QC processing
AWS Step Functions: Orchestration of the validation pipeline
AWS Lambda: Event triggers and result consolidation
Amazon S3: Input/output data storage with event notifications
Amazon Bedrock (Claude): AI-assisted mapping generation
Docker: Containerised deployment with multi-stage builds

3. Technical Competency

Core Technical Skills

IFC/BIM Domain Knowledge: Experience with Industry Foundation Classes (IFC) file format and Building Information Modelling (BIM) workflows
IfcOpenShell Library: Proficiency with IfcOpenShell C++ library for IFC file processing and manipulation
C++
Python Development: Strong Python skills with experience in testing frameworks (Pytest) and data processing libraries
Docker & Containerisation: Experience with multi-stage Docker builds, container optimisation, and Amazon ECR
Infrastructure as Code: Terraform expertise for AWS resource provisioning and multi-environment deployments
CICD via Gitlab

AWS Services Expertise

ECS Fargate: Container orchestration and task definition management
Step Functions: Workflow orchestration and state machine design
Lambda Functions: Event-driven serverless computing
S3: Object storage, event notifications, and data lifecycle management
IAM: Security policies and role-based access control
CloudWatch: Logging, monitoring, and alerting
Amazon Bedrock: AI/ML integration for automated mapping generation

Maintenance & Operations

Infrastructure Management: Terraform state management across multiple AWS accounts
Container Management: Docker image updates, ECR repository maintenance, and deployment automation
Monitoring & Logging: CloudWatch log analysis, performance monitoring, and troubleshooting
Security Compliance: Maintain RS-NS data classification requirements and security best practices

4. Scope of Work

Development & Maintenance Requirements

Fixing SAST and other security vulnerabilities
Bug fixes and performance optimisation
QC rule updates and validation logic enhancements and deployment if required
Docker image updates and ECR repository management
Integration work on SHIP/HATS GitLab
Integration support for new IFC file formats or standards if required
User support and troubleshooting