Software Engineer (REST APIs, SI, data models, relational databases)

About the role

We are hiring a hands-on Software Engineer who enjoys solving real business problems, learning new technologies and seeing their work make a direct impact. You will build internal applications, develop APIs, system integrations and automation, and explore AI solutions to improve productivity and decision-making.

Key responsibilities

• Build internal applications using Go, React & TypeScript

• Develop APIs, system integrations and automation

• Explore AI solutions to improve productivity and decision-making

• Work directly with business and production teams to understand real workflows

• Own projects from design → development → deployment → improvement

• Troubleshoot and continuously improve existing systems

About you

• 3–5 years' software engineering experience (stronger candidates with less experience are welcome)

• Learning agility — able to learn unfamiliar technologies, business domains and systems quickly, and become productive with limited hand-holding

• Strong backend development fundamentals; Go preferred. Candidates with solid experience in another backend language and the ability to learn Go quickly will be considered as well.

• Hands-on React & TypeScript experience

• Good knowledge of REST APIs, databases and system integration

• Strong problem-solving skills and ability to work independently

• Fast learner with a strong sense of ownership

• Comfortable communicating with non-technical users

• Singapore-based and willing to travel to China when required

• Able to communicate and understand the language used in China.

Bonus

• Manufacturing / Industry 4.0, MES/ERP/PLM, Docker/Linux, CI/CD, cloud, industrial systems or AI/automation experience

*The hiring company is unable to provide work sponsorship*

About the hiring company

Our Client is a precision plastic injection molding manufacturer transforming how manufacturing operates through software, automation, data and AI. The IT / Digital Team works closely with engineering, production and business teams to develop solutions that improve productivity, decision-making and operational performance.