Lead Enterprise Planning and Scheduling Solutions

1 week ago

Singapore beBeeSoftware Full time

Enterprise Planning and Scheduling Leader

This role involves leading the development of intelligent planning, scheduling, and manufacturing applications for a prestigious research institution.

The Senior Software Engineer will be responsible for architecting scalable and maintainable microservices-based platforms, integrating AI/ML components to enhance manufacturing intelligence and automation, and developing containerized environments using Docker and Kubernetes.

Key Responsibilities:

  • Platform Development: Design, develop, and deploy enterprise-level planning and scheduling platforms.
  • Microservices Architecture: Architect scalable and maintainable microservices-based platforms.
  • AI/ML Integration: Integrate AI/ML components to enhance manufacturing intelligence and automation.
  • Environment Development: Develop and manage containerized environments using Docker and Kubernetes.
  • Collaboration: Collaborate with cross-functional teams to align solutions with business and operational requirements.
  • Data Processing: Drive real-time data processing and visualization solutions for production monitoring.
  • DevSecOps: Implement DevSecOps best practices, including CI/CD pipelines for secure and efficient delivery.

Requirements:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Operations Research, or a related field.
  • Experience: Minimum 5 years of software engineering experience with a focus on enterprise applications.
  • Skills: Proficient in C# .NET and Angular development, hands-on experience with Docker, Kubernetes, and cloud/on-premise deployment strategies.
  • Optimization Techniques: Solid understanding of optimization techniques and their application in planning/scheduling problems.
  • CI/CD Workflows: Familiar with CI/CD workflows, version control, and secure coding practices.
  • Manufacturing Domain: Experience in the manufacturing domain, particularly in inventory analytics and production planning.
  • SAP/ERP Systems: Exposure to SAP/ERP and advanced planning systems such as Siemens APS is a plus.
  • Generative AI: Familiarity with generative AI use cases in industrial or planning systems is highly desirable.

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