Top Tech Jobs & Startup Jobs in Singapore

Designs and reviews cybersecurity architectures for telecom, enterprise, cloud, application, network, and critical infrastructure environments. Performs threat modeling, risk assessments, security gap analysis, and technology evaluations. Defines security requirements and develops high-level designs, control matrices, and reference architectures. Engineers production-ready cybersecurity products and solutions using Security-by-Design, Zero Trust, and resilient security principles. Collaborates with product, engineering, infrastructure, and operations teams to implement and productize secure capabilities.

Gather business requirements and configure Murex MX.3 collateral workflows for OTC derivatives and securities financing. Deliver functional designs, testing (SIT/UAT), integrations (SWIFT, AcadiaSoft, market data), regulatory support (UMR, SIMM), production support, and stakeholder management throughout implementation and post-go-live.

The role involves planning, deploying, and optimizing 4G/5G mobile core network infrastructure while supporting network expansion and roaming services. Collaboration with teams to ensure operational readiness and involvement in technical studies for emerging technologies are key responsibilities.

The Head of Corporate Development drives growth initiatives, manages mergers and acquisitions, evaluates investments, and leads fundraising and investor relations activities.

Build and operate ML infrastructure supporting model training, evaluation, deployment, inference, experimentation, and continuous improvement. Develop scalable, low-latency serving systems, reproducible pipelines, benchmarking and evaluation tools, and production observability. Improve reliability, performance, throughput, and cost efficiency while partnering with AI engineers, researchers, and product teams to deliver production-ready AI capabilities.

Own the end-to-end product strategy and execution for AI-native applications. Define AI system requirements, evaluate model behavior, make trade-offs across quality, latency, cost, reliability, and user experience, and partner closely with ML, backend, mobile, and engineering teams. Establish evaluation frameworks, prioritize roadmaps, drive rapid and safe delivery, and ensure product correctness, predictability, and user trust.

Build and operate production backend systems powering AI features. Design inference pipelines, orchestration layers, and model service boundaries while optimizing latency, throughput, caching, batching, and streaming. Monitor reliability through logging, alerting, and incident response, and develop stable APIs for mobile, desktop, frontend, and machine learning integrations. Debug distributed systems under load and continuously improve performance based on production behavior.

Build and ship production-grade AI product features across frontend, backend, and AI integrations. Design reliable multi-step agent workflows with planning, tool use, memory, streaming, failure recovery, and fallback mechanisms. Integrate LLMs, RAG systems, and external tools while improving latency, observability, monitoring, and workflow success rates. Collaborate with ML, backend, and product teams to deliver scalable AI-native experiences.

Implement and configure Collibra data catalog and lineage (technical and business), integrate metadata from ETL, data lake/DWH and core banking systems, map end-to-end lineage, enforce MAS-aligned data governance, validate metadata quality, and manage stakeholder delivery and reporting.

Lead end-to-end UX for AI-powered enterprise banking platforms: conduct discovery and research; design journeys, IA, wireframes, prototypes, and high-fidelity UIs; create data-rich visualizations and design systems; collaborate with product and engineering to deliver explainable, scalable AI-enabled experiences.