System Analyst, IT
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The Talent People x JSIT-PE
The Talent People is proud to partner with JSIT-PE, a government initiative aimed at strengthening Singapore’s Precision Engineering sector by addressing manpower challenges and fostering industry growth.
By applying for our job opportunities, you’re joining a strategic effort to enhance Singapore’s Precision Engineering landscape.
Roles & Responsibilities
We are seeking a skilled MES System Analyst to 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.
Responsibilities
System Implementation & Maintenance: implement and maintain MES systems that align with business objectives and manufacturing requirements
Requirements Analysis: Gather, analyze, and document user requirements, translating business needs into comprehensive functional specifications
Testing & Quality Assurance: Design and develop test cases, execute System Acceptance Testing (SAT) and User Acceptance Testing (UAT) to ensure system reliability and performance
User Training & Support: Deliver comprehensive training programs to end-users and provide ongoing technical support to maximize system adoption
Cross-functional Collaboration: Coordinate with various IT units and departments to deliver integrated, value-added support services across the organization
Collaboration: Work effectively at multiple levels within project teams, demonstrating strong collaboration skills
Process Improvement: Continuously monitor system performance, identify enhancement opportunities, and implement process improvements to achieve higher operational efficiency
Technical Troubleshooting: Diagnose and resolve complex data and system issues related to manufacturing processes, ensuring minimal disruption to operations
Deploy and Manage Kubernetes Clusters: Set up, configure, and maintain Kubernetes clusters in production environments.
Ability to create and manage continuous integration and deployment pipelines using tools like Jenkins, GitLab CI/CD, Azure DevOps or other deployment pipelines tools.
Managing work with development teams to containerize applications using Kubernetes software (e.g OpenShift, Rancher or other Standard Kubernetes) and ensure smooth deployment.
Utilize Kubernetes related automation tools like Terraform/Ansible to automate infrastructure provisioning and management in term of implementing automation in infrastructure.
Requirements
Degree in Computer Science, Information Systems, Engineering, or equivalent
Mandatory: Prior experience in the manufacturing industry and working knowledge of MES systems (preferably Camstar).
Demonstrated knowledge of MES systems and manufacturing processes
Familiarity with various common Linux distributions (Ubuntu, RHEL, SUSE).
Proficiency in containerization and orchestration tools: Docker, Kubernetes, Amazon EKS etc.
Proficiency with database tools and understanding of relational data flows
Experience in programming language such as Python, Node/React.js, C#, C++, PLC Programming & knowledge in SQL, YAML Queries is a plus.
Experience in IOT is a plus.
Multi-tasking capabilities with proven ability to work autonomously with minimal supervision
Strong verbal and written communication skills with ability to interact with stakeholders at all organizational levels
Knowledge of Software Development Life Cycle (SDLC) and formal software development methodologies
Experience in Manufacturing Process & Manufacturing Execution Systems knowledge is a plus.
Manufacturing Execution Systems / other major applications Development & Deployment via Kubernetes platform is a Must.
The Talent People 24C2589
- Department
- JSIT-Precision Engineering
- Locations
- Singapore
- Monthly salary
- SGD3,500 - SGD6,500
- Employment type
- Full-time