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
- Bachelors or Masters 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.
