Be part of a large-scale manufacturing transformation where engineering meets digital innovation. Our team is developing a modern, modular operations platform that bridges ERP, engineering, quality, and production, delivering end-to-end visibility and helping shape the future of Engineer-to-Order manufacturing.

Requirements:

• 5+ years of experience delivering production software systems, integration platforms, or industrial applications.

• 3+ years in a Technical Lead, Solution Architect, Integration Architect, or equivalent technical ownership role.

• Production experience with MES, MOM, manufacturing platforms, shop-floor applications, or related industrial software.

• Strong experience integrating ERP systems with manufacturing or operational systems.

• Understanding of production orders, BOMs, routings, operations, work centres, materials, labour, quality, genealogy, and traceability.

• Strong relational data-modelling and SQL skills.

• Practical understanding of ISA-95 boundaries and Level 3/Level 4 integration.

• Experience with at least one industrial integration pattern such as OPC UA, MQTT, edge gateways, PLC/HMI/SCADA integration, or machine-vendor APIs.

• Ability to lead conversations across software engineering, production, quality, engineering, IT/OT, and external vendors.

• Willingness to work regularly on-site and participate in commissioning and go-live activities.

Main responsibilities:

• Own the technical architecture of the modular MES/MOM systems and industrial integrations.

• Lead hands-on software delivery across backend services, integration components, operational workflows, and data models.

• Define information flows between IFS Cloud/ERP, MES/MOM, engineering systems, quality systems, and shop-floor equipment.

• Design ERP integrations covering production orders, project structures, items, BOMs, routings, work status, labour, quality events, and traceability.

• Establish the digital thread between engineering definitions, manufacturing execution, quality gates, certificates, inspection evidence, and final equipment documentation.

• Define reusable machine and production-cell integration patterns using APIs, messaging, OPC UA, MQTT, edge gateways, and vendor interfaces.

• Define canonical manufacturing data models for items, BOMs, routings, operations, equipment, welds, materials, documents, and quality records.

• Build reliability and auditability into integrations, including idempotency, retries, replay, offline buffering, reconciliation, versioning, data lineage, and audit trails.

• Translate manufacturing processes into system workflows covering dispatching, work instructions, production reporting, downtime, punch lists, quality gates, and traceability.

• Support integration testing, FAT/SAT activities, commissioning, go-live, incident resolution, and operational handover.

Nice to have:

• Experienced in using AI tools in day-to-day workflow