Top Tech Jobs & Startup Jobs in Singapore

Responsible for managing the design and construction of bus depots and interchanges, ensuring timely project completion and adherence to quality standards.

Lead end-to-end talent programmes (leadership development, graduate rotations, scholarships), design personalised development plans, maintain career-pathway records, track talent progress and analytics, and partner with business leaders and HR stakeholders to align talent initiatives with organisational needs.

Manage daily street-hail and ride-hail operations, ensure licensed operator compliance, monitor industry developments, advise on vehicular policies, handle taxi registrations, facilities and cross-border permits, and coordinate stakeholders and government agencies to safeguard passenger and driver interests.

Develop and integrate full-stack applications with databases, cloud, APIs and AI services. Design and deploy AI-enabled and agentic solutions (LLMs, RAG, tool use). Integrate devices/simulations, collaborate with stakeholders, contribute to applied research and proposals, teach courses/workshops, supervise students, and support industry engagement and project delivery.

The role involves designing and maintaining data pipelines, collaborating with stakeholders, ensuring compliance with regulations, and mentoring junior members. Requires data engineering and science expertise.

Oversee day-to-day operations related to vehicle quota and registration, manage staff performance, and handle customer feedback and queries.

Lead procurement planning, sourcing, tendering, contract and supplier management for the Marketing & Corporate Solutions division. Provide strategic procurement advice, ensure compliance with government procurement policies, manage budgets and procurement performance, drive process improvements and technology adoption, and lead and develop a procurement team to deliver value-for-money outcomes.

Design, build, and maintain cloud-native applications using traditional code and OutSystems low-code. Integrate AI/ML models and cloud AI services, develop microservices, containers, and serverless functions, implement CI/CD and DevOps practices, create responsive web and mobile apps, integrate external systems/APIs, participate in agile ceremonies, conduct code reviews and testing, and produce technical documentation and proofs-of-concept.

Design, develop, and optimize cloud-native applications; lead and mentor engineering teams; implement CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation); enforce security, compliance, and coding best practices; collaborate with stakeholders on technical requirements and architecture.

Build and maintain end-to-end data pipelines and medallion data lake architectures on Databricks and AWS. Implement data governance with Unity Catalog, ensure data quality, prepare analytics-ready datasets, support basic ML pipelines, and collaborate with stakeholders to meet reporting and BI needs.