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An innovative research organization is on the lookout for a skilled Senior Software Engineer to drive the development of integrated smart manufacturing applications. This role involves designing and implementing robust full-stack applications using .NET C# and Angular, while also developing scalable microservice architectures. You will have the opportunity to integrate advanced AI/ML capabilities within manufacturing software, ensuring seamless interoperability across the ecosystem. Collaborating with cross-functional teams, you will align technical solutions with business needs and contribute to enhancing manufacturing operations. If you're passionate about technology and eager to make a significant impact, this is the perfect opportunity for you.
The Advanced Remanufacturing and Technology Centre (ARTC) is seeking an experienced Senior Software Engineer to contribute to developing integrated smart manufacturing applications.
Key Responsibilities:
Design and implement robust full-stack applications using .NET C# and Angular
Develop scalable microservice architectures, and implementcontainerization and container orchestration
Integrate AI/ML capabilities within manufacturing software, ensuring seamless interoperability across the ecosystem
Implement efficient data management and real-time processing solutions, adhering to best practices in cloud-native software design
Collaborate cross-functionally to align technical solutions with business requirements, evaluating and recommending appropriate technologies
Contribute to the development of AI models and applications that enhance manufacturing operations and processes
Requirements:
Bachelor/Master's degree in Computer Science, Software Engineering, or a related technical field
5+ years of experience in software development, with a focus on backend .NET C# and frontend Angular
Proficient in designing and implementing maintainable, scalable, and secure software architectures
Hands-on experience with containerization (Docker) and container orchestration (Kubernetes)
Familiarity with cloud-native technologies and the ability to leverage cloud services from AWS or Azure
Understanding of DevOps practices, including CI/CD pipelines
Knowledge of AI/ML frameworks and the ability to integrate AI capabilities within manufacturing software
Familiarity with industrial IoT and edge computing in manufacturing environments
Strong problem-solving skills and the ability to learn new technologies quickly
Excellent communication and collaboration skills to work effectively in a multi disciplinary team
The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.