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Venture, a global technology services provider, is seeking a System Analyst, IT for its Singapore site to lead MES implementations and bridge manufacturing operations with IT infrastructure. You will optimize Camstar MES, containerized deployments on Kubernetes, and modernize the MES platform across multiple teams.
Strong Linux, programming, and automation skills are required. Join a collaborative environment that values innovation, proactive process improvements, and hands-on training for
Venture, a public listed company in SGX, is a leading global provider of technology services, products and solutions with established capabilities spanning marketing research, design, research and development. Over the years, Venture has built know-how and intellectual property with expertise in several technology domains. These include life science & genomics, molecular diagnostics, medical devices and equipment, healthcare and wellness technology, lifestyle consumer technology, health improvement products, instrumentation, test and measurement technology, networking and communications, fintech, as well as computing, printing and imaging technology.
Head quartered in Singapore, the Group comprises over 30 companies with global clusters in Southeast Asia, Northeast Asia, America and Europe, and employs over 12,000 people globally.
At Venture, our people are our most valuable asset. We are committed to unifying culture, encouraging innovation, and harnessing the collective strengths and synergies of our human capital to deliver compelling differentiation, advancing Venture's position as a leading global provider of technology solutions, products and services.
We're looking to add a System Analyst, IT in Singapore. The position is based in our site at Woodlands.
As a System Analyst, IT , you will:
Lead the implementation and optimization of MES solutions, including Camstar, upcoming new MES platform, and containerized applications on Kubernetes. This role bridges manufacturing operations and IT infrastructure, ensuring robust, scalable, and efficient MES solutions. The ideal candidate will work with vendors and cross-functional teams to define requirements, ensure seamless integration, and support deployment. Expertise in Kubernetes, MES, IoT, and cloud platforms is essential to drive digital manufacturing initiatives. Strong analytical skills are required to troubleshoot manufacturing data issues, conduct rigorous testing, and deliver effective user training. Prior experience in manufacturing environments and MES systems is essential, along with a proactive mindset for identifying process improvement opportunities. Opportunity to participate in a large-scale project on modernizing to a new MES platform.