Enterprise Platform Engineer - Cloud-Native & API-Driven

IN01 Agilent Technologies (International); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Agilent Technologies seeks a Digital Solutions Engineer – Platform Services to design, develop, and maintain scalable backend services and enterprise APIs that enable secure, real-time information exchange across Manufacturing, Supply Chain, and Quality.

You'll collaborate with Data Engineers, AI scientists, and Smart Factory engineers to build reusable platform capabilities powering intelligent manufacturing.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or related field.
• Experience developing backend applications, APIs, or enterprise software platforms.
• Proficiency in one or more languages such as C#, Python, or Java.
• Understanding of API development, system integration, and relational databases.
• Familiarity with cloud computing concepts and distributed application architecture.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Platform Services Development: Design, develop, and maintain scalable backend services and APIs.
• Enterprise Integration: Develop integration services connecting ERP, MES, PLM, Quality Systems, AI platforms, and cloud services.
• Cloud-Native Engineering: Build cloud-native apps; support CI/CD, testing, deployment.
• Security & Reliability: Apply secure SDLC, IAM, authentication/authorization, and disaster recovery.
• Cross-functional Collaboration: Work with Application Experience, Data Engineers, AI/Data Scientists, and Smart Factory Engineers.

Skills

Backend development

APIs

Cloud platforms

Relational databases

C# / Python / Java

Problem solving

Communication

Education

Bachelor's or Master's in CS/SE/IT

Tools

Docker

Kubernetes

Azure DevOps

GitHub Actions

Job description

Agilent Technologies seeks a Digital Solutions Engineer – Platform Services to design, develop, and maintain scalable backend services and enterprise APIs that enable secure, real-time information exchange across Manufacturing, Supply Chain, and Quality.

You'll collaborate with Data Engineers, AI scientists, and Smart Factory engineers to build reusable platform capabilities powering intelligent manufacturing.