Senior Software Engineer (Manufacturing Domain)

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.

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.