Top Tech Jobs & Startup Jobs in Singapore

As a Technical Lead, you will design, develop, and maintain scalable software systems while mentoring junior developers and ensuring code quality.

The IT Support Specialist will provide technical support for user devices and cloud environments, troubleshoot issues, and ensure optimal performance of IT systems.

Lead end-to-end delivery of front-office initiatives (OMS/EMS implementations, trading platform enhancements, workflow optimization). Act as primary liaison between traders/portfolio managers and technology teams to gather requirements, define solutions, manage scope/timelines and drive user adoption, testing, training, and continuous improvement.

The intern will support AI & Data projects by analyzing data, developing machine learning models, and assisting with data visualization and preprocessing.

The Director of AI is responsible for solving complex AI challenges, exceeding client expectations, leading AI teams, and fostering ethical AI practices. They will create thought leadership and manage AI solutions from conception to commercialization while building client relationships and partnerships.

Temus is hosting a Consulting Info Day to showcase its consulting practice in digital transformation. Attendees will hear from consultants about roles and opportunities, and receive registration details by email. Event is on 17 Sep 2025 at Temus Office, Singapore.

Drive end-to-end digital transformation by framing problems, designing AI-enabled solutions, prototyping, delivering via agile teams, and driving adoption and change through stakeholder engagement, training, and governance.

Lead multiple small teams to deliver end-to-end Newgen-based solutions. Design, implement, integrate, and maintain enterprise software; perform code reviews, POCs, testing, client coordination, risk analysis, and documentation to ensure compliant, high-performance deployments.

Lead AI Engineer will design and deploy advanced AI and agentic LLM systems, lead and mentor an AI/data engineering team, build MLOps pipelines and cloud deployments, produce client proposals and technical thought leadership, and drive model lifecycle, evaluation, and responsible-AI practices.

This role involves developing AI literacy and capabilities in the education sector, designing enablement programs, and maintaining learning resources. Responsibilities include supporting adoption efforts, managing partnerships, and tracking program effectiveness.