Top Tech Jobs & Startup Jobs in Singapore

Design, deploy, and maintain AWS and hybrid infrastructure across development, staging, and production. Administer cloud, virtualization, container, monitoring, security, and Infrastructure as Code platforms. Improve reliability through SRE practices, automation, observability, disaster recovery, and resilience testing. Troubleshoot platform issues with development teams while maintaining documentation and runbooks.

Design and deploy production-ready agentic AI systems for public-sector fraud detection. Build LLM workflows for emerging risk identification and detection logic, integrate AWS and enterprise data platforms, and develop tested Python applications and APIs. Establish evaluation, monitoring, CI/CD, observability, governance, security, human oversight, and responsible-AI safeguards while collaborating with data scientists, analysts, engineers, and business stakeholders.

Build and operate reliable production ML and AI systems across AWS and Databricks. Responsibilities include developing MLOps components, productionizing models, creating data and feature pipelines, optimizing Spark and SQL workloads, automating CI/CD and retraining, implementing governance and security controls, and establishing monitoring, evaluation, rollback, and incident-response practices. The role also supports generative AI, recommendation, and search workloads while improving reusable engineering patterns and transferring knowledge to internal teams.

Design, build, and operate production-grade batch and streaming data pipelines across AWS and Databricks. Develop lakehouse architectures, data models, quality controls, orchestration, lineage, monitoring, and security practices. Optimize Spark and SQL workloads, establish engineering standards, review designs and code, mentor engineers, and collaborate with data owners, analysts, data scientists, architects, and governance stakeholders. Support reliable, well-governed data products for analytics, reporting, and machine learning.

Develop and validate fraud-risk models for public training subsidies. Responsibilities include recalibrating thresholds, engineering features, evaluating model performance, monitoring data and concept drift, investigating anomalies, assessing emerging fraud schemes, and documenting analytical methods. The role requires collaboration with technical and policy stakeholders, clear communication of trade-offs, and reproducible Python and SQL workflows. Preferred experience includes imbalanced data, delayed labels, dashboards, MLOps, cloud data platforms, graph analytics, and public-sector datasets.

Manages the full lifecycle of AWS cloud platforms across engineering, operations, and security. Responsibilities include infrastructure provisioning with IaC, CI/CD, Linux and Windows administration, networking, monitoring, patching, backup and disaster recovery, incident and change management, security controls, compliance, vulnerability remediation, and L2/L3 support. The role also supports automation, workload migrations, audits, and adherence to Singapore Government cloud and cybersecurity requirements.

Partners with customers and stakeholders to define business and technical requirements, facilitate discovery workshops, and shape cloud-native digital solutions. Translates business needs into user stories, functional specifications, process flows, and acceptance criteria while collaborating with engineers, architects, and product teams. Supports Agile delivery, solution demonstrations, proof-of-concepts, pre-sales discussions, testing, UAT, and production rollouts. Provides technical and business advisory throughout project delivery.

Business Analyst supporting Singapore Government IT projects by gathering and documenting requirements, analyzing processes, creating wireframes, coordinating Agile delivery, and supporting User Acceptance Testing. The role bridges government stakeholders, project managers, developers, and QA teams to deliver effective digital solutions. Responsibilities include defining user stories and acceptance criteria, identifying process improvements, assessing change impacts, and monitoring success metrics.

Design, implement, support, and improve large-scale enterprise, data center, WAN, wireless, and hybrid cloud networks. Responsibilities include routing and switching, Azure networking and security, high availability, disaster recovery, troubleshooting, incident management, architecture governance, technical assurance, and consultancy across concurrent initiatives.

Redesigns business and IT operational processes to reduce manual effort, delays, risks, and handoffs. Implements AI, workflow, infrastructure automation, and system integrations using platforms such as ServiceNow, Power Automate, Ansible, and Terraform. Develops measurable outcomes, SOPs, documentation, dashboards, and knowledge resources while training operational teams to sustain and improve implemented solutions.