Enterprise Systems Engineer

20 hours ago

Singapore NUS Enterprise Full time

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About Us
We\'re NUS Enterprise, the innovation and entrepreneurship arm of the National University of Singapore (NUS). Our mission: enable innovation at scale with systems that are smart, connected, and increasingly AI-driven.
The Role
You\'ll be the builder behind our workflow systems—mapping business processes, designing automations, and ensuring works smoothly. Over time, you\'ll also experiment with AI-enabled features, such as intelligent automations or natural language queries. You will also contribute data into our system of record in Azure, ensuring its quality and integration with enterprise systems.
What You\'ll Do
Configure and customise boards, dashboards, and automations, embedding business intelligence principles for reporting and KPIs
Build and maintain workflows, troubleshoot issues, and ensure smooth platform operation
Build integrations with enterprise tools via REST/GraphQL APIs, contributing to digital transformation initiatives
Contribute data into the system of record hosted in Azure, ensuring quality and accuracy
Apply business process modelling to translate workflows into scalable digital solutions
Troubleshoot and resolve technical issues, coordinating with vendors as needed
Provide training and guidance to colleagues, making systems and processes understandable to all
Explore AI-assisted workflows as part of \'s roadmap
What You\'ll Bring
2+ years of experience in SaaS platform engineering, workflow support, or enterprise IT
Strong grasp of RESTful/GraphQL APIs and JSON structures
Experience building and troubleshooting workflows on
Basic scripting or software development skills for platform extensions
Ability to connect and manage structured data integrations, with understanding of SQL
Familiarity with contributing data from SaaS platforms into cloud-based systems of record (Azure preferred)
Excellent problem-solving instincts—you get to the root of issues quickly
Communication skills—you can explain technical systems clearly to non-technical colleagues
Team-first attitude and adaptability
Demonstrated AI/LLM project work in past experience
Bonus Points
Hands-on experience with
Familiarity with SSO (OAuth, SAML, SCIM)
Curiosity about AI/LLM features in workflow platforms
Why Join Us?
This is your chance to grow into the future of enterprise systems—starting with today, and building AI-enabled workflows and Azure-integrated data systems tomorrow.
Seniority level
Associate
Employment type
Contract
Job function
Other
Industries
IT Services and IT Consulting
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