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This is a spontaneous application opportunity where candidates submit their CV and motivation for potential job matches.
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, test, deploy, monitor, and maintain full-stack production software using Java, Python, APIs, services, data workflows, and cloud-native components. Build automated testing and CI/CD quality gates, apply secure and maintainable engineering practices, improve observability and operational reliability, modernize legacy systems, and collaborate across product, architecture, security, data, and operations teams. Use approved AI-assisted development tools responsibly throughout the software delivery lifecycle.
Top Skills:
APIsAutomated TestingCi/CdCloud-Native TechnologiesJavaMetricsObservabilityPythonSecurity ScanningStatic AnalysisStructured LoggingTracing
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Designs, develops, debugs, and verifies embedded software and firmware for aerospace systems. Leads test architecture, verification strategies, certification activities, audits, design reviews, and bench setup. Evaluates emerging technologies, influences software architecture, automates processes with generative AI, and guides engineers while managing cross-functional stakeholders, quality, cost, and schedule objectives.
Top Skills:
CC++ChatgptDebuggersDo-178B/CEmbedded SoftwareEmbedded SystemsFirmwareLarge Language ModelsMatlabMulticore ProcessorsNatural Language ProcessingPythonSimulatorsVectorcast/Cover
You can’t find a suitable vacancy? Just apply spontaneously! Our recruiters will assess your CV and motivation and match those to our available vacancies.
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
