GovTech
Government
SoftwareEngineer(EnterpriseSG)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Software Engineer (Enterprise SG) at GovTech”
Industry & Context.
Full Job Description
GovTech is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better where we empower our people to master their craft through robust learning and development opportunities all year round. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg. [What you will be working on] We are seeking a Software Engineer to join a full stack data platform team within an internal government agency. This role sits at the intersection of software engineering, data engineering, and applied AI, and involves building scalable applications and services that enable data-driven decision-making across the organization. You will work in a cross-functional environment alongside Software Engineers (SWE), Data Engineers (DE), and Data Scientists (DS) to design, develop, and deploy production-grade systems. Design, build, and maintain full stack applications (frontend + backend) that interface with internal data platforms Develop APIs and services to support data access, processing, and orchestration Translate business and operational requirements into scalable technical solutions Contribute to system design discussions across SWEs / Data Scientists / Data Engineers Build tools and interfaces that enable efficient data consumption and exploration Partner with data scientists to productionize models and analytics workflows Work closely with data engineers to integrate applications with data pipelines, warehouses, and analytics systems Build
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