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Senior Software Engineer (Smart Manufacturing)

Senior Software Engineer (Smart Manufacturing)

CygnifySingapore, 01, sg
24 days ago
Job type
  • Quick Apply
Job description

Job Description

Job Title : Senior Software Engineer (Manufacturing Domain)

Location : Singapore (On-site)

We are currently working with a with a prestigious government-linked research institution focused on advancing integrated digital and manufacturing solutions. They are seeking a highly skilled Senior Software Engineer to lead the development of intelligent planning, scheduling, and manufacturing applications.

Role

The Senior Software Engineer will be responsible for designing, developing, and deploying enterprise-level planning and scheduling platforms. This includes architecture of microservices, integrating AI / ML capabilities, and ensuring the scalability and robustness of the systems. The ideal candidate will bring strong experience in C#,.NET and Angular development, a deep understanding of manufacturing systems, and a passion for solving complex planning problems using optimization and AI techniques.

Responsibilities

  • Lead end-to-end development and maintenance of enterprise planning and scheduling systems.
  • Architect scalable and maintainable microservices-based platforms.
  • Integrate AI / ML components to enhance manufacturing intelligence and automation.
  • Develop and manage containerized environments using Docker and Kubernetes.
  • Collaborate with cross-functional teams to align solutions with business and operational requirements.
  • Drive real-time data processing and visualization solutions for production monitoring.
  • Implement DevSecOps best practices, including CI / CD pipelines for secure and efficient delivery.
  • Evaluate and recommend emerging technologies to improve system performance and flexibility.
  • Explore and incorporate generative AI capabilities to enhance system intelligence.

Requirements

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