Role Purpose
This position presents an excellent opportunity to develop and expand digital foundation capabilities within Gunnebo’s global manufacturing and industrial settings. This is a unique opportunity to design and build the digital foundation supporting Gunnebo’s global manufacturing transformation. The Full Stack Developer will deliver cloud-native applications, Industrial IoT (IIoT) platforms, edge-to-cloud integrations, and integration and analytics solutions for Connected Machinery, Smart Factory, and Industry 4.0 initiatives across global manufacturing sites.
Key Responsibilities
- Application & Platform Development
- Build industrial web applications using React, Redux, TypeScript with structured state management.
- Develop backend services with C#, .NET 8, ASP.NET Core Web API.
- Design and expose REST APIs for device data, workflows, and enterprise integrations
- Implement clean architecture with separation of domain, application, and infrastructure layers
- Develop responsive dashboards for shop floor and enterprise users
- Implement authentication and authorization using Azure AD / Entra ID
- Industrial IoT & Smart Factory Enablement
- Integrate PLCs, sensors, gateways, and machine telemetry across Capital Asset Networks
- Develop IIoT solutions using Azure IoT Hub, IoT Edge, Digital Twins, Event Hub, Service Bus, and Azure Functions
- Design edge-to-cloud architectures using containerized IoT Edge modules
- Implement MQTT-based device communication and message routing
- Enable real-time data processing, OEE, utilization, and predictive maintenance
- Cloud, DevOps & Secure Integration
- Build event-driven and serverless architectures using Azure Functions (C#)
- Deploy solutions using Azure DevOps CI/CD pipelines
- Implement fully serverless patterns for scalability and cost control
- Implement monitoring, logging, and observability best practices
- Secure APIs using Azure API Management
- Ensure enterprise security and architecture compliance
- Data & Enterprise Integration
- Design telemetry and time-series data models in Azure Cosmos DB
- Implement transactional workloads using Azure SQL
- Integrate with MES and ERP systems using APIs and messaging
- Agile Delivery & Collaboration
- Collaborate with global product owners to define scope and MVPs
- Participate in Agile ceremonies and sprint execution
- Maintain documentation, test automation, and coding standards
Technical Skills
Backend
- C#, .NET 8, ASP.NET Core Web API
- Event-driven and serverless architectures
- Azure Functions with IoT Hub, Event Hub, Service Bus
Frontend
- React, Redux, TypeScript (Angular acceptable)
- Real-time UI updates using WebSocket’s or SignalR
Cloud & Azure
- Azure IoT Hub & IoT Edge
- Event Hub, Service Bus, Azure Functions
- Azure Cosmos DB, Azure SQL
- Azure DevOps CI/CD
- Application Insights & Log Analytics
Industrial Communication
- MQTT protocol design and broker configuration.
- Secure device provisioning and certificate-based authentication.
- High-throughput telemetry ingestion and message routing.
Databases
- Azure Cosmos DB with partition key strategy and multi-region setup.
- SQL Server / Azure SQL.
- Data modeling for industrial telemetry and event streams.
Preferred Experience
- Manufacturing IT/OT convergence, MES, automation systems
- Edge computing, OPC-UA, industrial communication protocols
- Large-scale MQTT-based device ecosystems
- Azure certifications (AZ-204, AZ-305, AZ-900)
Soft Skills & Leadership Attributes
- Strong collaboration across global, multicultural teams.
- Ability to convert business processes into structured digital solutions.
- Problem-solving mindset with continuous learning orientation.
- Clear communicator with strong documentation discipline.
Required Qualifications & Experience
- Bachelor’s / master’s degree in computer science or related discipline
- 5+ years of experience in full-stack or software development
- Experience in IIoT, manufacturing systems, or Industry 4.0 environments
- Experienced in IT and digital roles within manufacturing.
Key Projects (2026–2028)
- Connected Machinery Platform – Real-time data, predictive insights, utilization analytics.
- Digital Twin for Smart Factory – Virtual modeling, OT integration, simulation environments.
- Industrial Analytics Hub – Central analytics platform for efficiency & performance insights, example – Solar Power generated, Electrical consumption etc.
- Digital Product Passport (DPP) – Global QR-based product identity, warranty, and service lifecycle.
VIAS (Visual Inspection Assembly System) - a quality control solution.
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