Head of Software Engineering – Digital Twins
Leadership role heading the software engineering organisation at Digile, building next-generation digital twin solutions at the intersection of software, BIM, GIS, infrastructure and AI. Day to day: managing development teams, driving architecture, and delivering complex enterprise platforms on cloud with spatial data, APIs and modern dev practices.
- Compensation
- Not disclosed
- Location
- Malaysia
- Work setup
- Onsite
- Seniority
- C level
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 10+ years in software engineering, technology development or enterprise technology, with significant leadership experience
- Proven experience managing software development teams
- Experience delivering complex enterprise software platforms
- Strong understanding of software architecture, APIs, databases, cloud technologies and modern development practices
- Practical experience with BIM, GIS, Digital Twin, infrastructure, construction, engineering or asset-management technologies
- Experience integrating multiple enterprise systems and data sources
- Experience working with multidisciplinary technical teams
- Strong understanding of the software development lifecycle from architecture through production deployment and support
Nice to have
- Background in digital twin platforms, BIM software, GIS/geospatial, AEC, infrastructure tech, smart cities, ConTech, engineering software, asset management, enterprise SaaS or industrial IoT
- Experience with ecosystems such as Autodesk, Bentley, Esri, Hexagon, Trimble, Dassault Systèmes or Siemens
- Strong knowledge in software: Joget, Java/.NET/Python/Node.js, modern web frameworks, REST/API architecture, microservices, event-driven architecture
- Strong knowledge in data: SQL/NoSQL, spatial databases (PostGIS), data engineering and pipelines, cloud data platforms
- Strong knowledge in BIM/3D: IFC/BIM data, 3D model processing, 3D visualisation, point clouds, 4D/5D construction information
- Strong knowledge in GIS: Bentley OpenCities or Esri, spatial databases, geospatial services, OGC standards, map/spatial visualisation
- Strong knowledge in cloud/DevOps: Azure/AWS/GCP, Docker/Kubernetes, CI/CD, Infrastructure as Code, monitoring and observability
- Strong knowledge in AI/analytics: Generative AI/LLMs, predictive analytics, data science platforms
- Bachelor's or Master's in Computer Science, Software Engineering, IT, Geomatics/GIS, Civil Engineering, Architecture, Construction Management, Engineering or related (experience may substitute)
Full description
This is a key leadership position at Digile. Candidate will sit at the intersection of software engineering, BIM, GIS, infrastructure and emerging AI technologies, leading the technical organisation that will build next generation solution. The role is particularly suited to someone who has built and manage software teams but also understands how infrastructure and built- environment information is created, managed and used throughout its lifecycle.
-
Key Responsibilities
- 10+ years of experience in software engineering, technology development or enterprise technology, with significant leadership experience.
- Proven experience managing software development teams.
- Experience delivering complex enterprise software platforms.
- Strong understanding of software architecture, APIs, databases, cloud technologies and modern development practices.
- Practical experience with BIM, GIS, Digital Twin, infrastructure, construction, engineering or asset-management technologies.
- Experience integrating multiple enterprise systems and data sources.
- Experience working with multidisciplinary technical teams.
- Strong understanding of the software development lifecycle from architecture through production deployment and support.
-
Skills/Other Details
Preferred Background
Candidates may come from backgrounds such as:
- Digital Twin platforms
- BIM software / BIM technology
- GIS / geospatial technology
- AEC technology
- Infrastructure technology
- Smart cities
- Construction technology / ConTech
- Engineering software
- Asset management platforms
- Enterprise SaaS
- Industrial IoT
Infrastructure systems integration Experience with platforms or technologies such as Autodesk, Bentley, Esri, Hexagon, Trimble, Dassault Systèmes, Siemens or similar ecosystems would be advantageous.
Technical Competencies
Strong knowledge in several of the following areas:
Software
- Joget
- Java / .NET / Python / Node.js or equivalent
- Modern web frameworks
- REST/API architecture
- Microservices