Job Description

We are partnering with a leading research and innovation organisation to hire a Software Developer to support the development of scalable, high-availability platforms for autonomous manufacturing and advanced planning systems.
This role focuses on building microservices-based applications that enable intelligent production planning, scheduling, and enterprise automation solutions. You will work in a collaborative environment combining applied research and real-world industry implementation.
Key Responsibilities:

• Design, develop, test, and maintain enterprise planning and scheduling applications (e.g., production planning, operations scheduling, inventory management).
• Build scalable microservices-based solutions using modern development frameworks.
• Analyse complex planning and scheduling challenges and implement effective software solutions.
• Collaborate with developers, researchers, and cross-functional stakeholders to deliver high-quality software.
• Deploy applications into production environments and provide ongoing maintenance and support.
• Identify performance bottlenecks and optimise application performance and scalability.
• Explore and integrate Generative AI capabilities to enhance planning and scheduling functionalities.
• Document system architecture, technical specifications, and user manuals.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related technical discipline.
• Experience in software development, ideally within enterprise or complex system environments.
• Strong technical skills in: C# .NET , MS SQL and Angular
• Experience with microservices architecture.
• Understanding of CI/CD pipelines and DevSecOps practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Strong communication skills and ability to work with multiple stakeholders.
• Exposure to Generative AI / Agentic AI applications.
• Experience with manufacturing planning, scheduling, inventory, or supply chain systems.
• Knowledge of Siemens APS or similar advanced planning platforms.
• PhD candidates with optimisation (operations research) or machine learning expertise are welcome.

Skills Required