Top AWS Jobs in Singapore

Build and productionize ML systems for personalization, search, and recommendations. Apply statistical and ML models using Python and SQL, collaborate with stakeholders, and measure business impact across cloud environments.

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Develop mobile-first, responsive Vue.js frontends focused on performance and UX. Build frontend management systems, participate in code reviews and team ceremonies, mentor junior engineers, and collaborate with backend teams.

Design, develop, and maintain highly scalable microservices and backends (Java/Spring) for millions of users. Collaborate with product owners, perform code reviews, respond to production incidents, mentor junior engineers, participate in team ceremonies, and potentially share on-call duties.

Operate, maintain, and optimize hybrid cloud Data and AI platforms (Cloudera CDP/CML, Hadoop, Spark) across AWS and on-prem. Perform platform upgrades, security patching, container/Kubernetes/OpenShift administration, monitoring, troubleshooting, and automation using Shell/Python. Collaborate with Infrastructure, Security, SRE, and Data/ML teams to ensure availability and scalability of AI/ML and Generative AI services (SageMaker, EMR, Bedrock).

Lead presales solution design and technical qualification for bids (BQs/RFQs/RFPs/tenders). Translate client needs into costed solution architectures, produce effort and man-day estimates, lead technical proposal sections, run PoCs/demos, shape deal strategy with sales, and hand over won opportunities with clear architecture, assumptions and estimates. Maintain reusable solution patterns and proposal collateral.

Lead architecture, design and technical governance for web, mobile, integration and cloud solutions. Translate requirements into secure, scalable architectures; drive presales, PoCs and tender responses; define integration and data architecture; set and enforce coding, design and security standards; mentor technical teams; ensure compliance with Singapore public-sector requirements (IM8, PDPA); build reusable reference architectures and engineering accelerators.

The Senior MEAN Stack Developer will design, develop, and deploy scalable web applications, focusing on building robust REST APIs and microservices, while ensuring code quality and continuous improvement.

Lead Full Stack Developer responsible for developing AI and Analytics solutions, managing client relationships, and guiding the full stack development process.

The Full Stack Developer will design, develop, test, and deploy features for both frontend and backend systems, collaborating closely with product managers and other engineers, while mentoring junior developers and optimizing application performance.

The role involves deploying cybersecurity products, providing training, managing customer solutions, and supporting technical issues. Candidates should have strong analytical skills and cybersecurity knowledge.

Lead advanced analytics and ML projects: perform EDA, feature engineering, statistical modeling, and build/optimize production ML and Generative AI solutions (LLMs, embeddings, RAG). Collaborate with engineering and MLOps to deploy and monitor models, create visualizations and dashboards, translate insights for stakeholders, and mentor junior team members.

Lead a cross-functional AI/ML team to define strategy, design and deploy scalable production AI solutions (Generative AI, NLP, vision, time-series), drive research, ensure code quality and CI/CD, mentor engineers, and collaborate with business partners to deliver impactful decision-science products.

Design, develop, and deploy AI solutions by integrating ML models, optimizing workflows, and collaborating across teams. Ensure performance and security in production environments.

Design, evaluate, and deliver AI solutions for gaming. Build scalable AI services, mentor teams, and communicate technical concepts effectively.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

As a Backend Engineer at Trust Wallet, you'll develop backend features for multiple platforms, maintain infrastructure, ensure system monitoring, and foster team growth.

Lead design and delivery of enterprise AI/RAG solutions for insurance risk consulting: run requirements workshops, produce architecture and UX, define RAG and prompt engineering approaches, ensure security/compliance, mentor engineers, and oversee implementation to production.

Design, train, and deploy large-scale foundational LLM and multi-modal models and AI agents for e-commerce. Build end-to-end model pipelines, manage data lakes/ETL, ensure secure compliant training and inference, mentor team members, and collaborate cross-functionally to align AI capabilities with product strategy.

Lead technical customer engagements, design tailored healthcare solutions, deliver demos and POCs, develop sales tools and training, drive integration with EMR/devices using cloud-native architectures, and advise product and go-to-market strategy.

Ownership of platform reliability and incident response across cloud infrastructure. Improve observability, CI/CD pipelines, deployments, developer experience, and operational tooling. Act as primary on-call platform expert, collaborate with product teams, and run postmortems to raise platform reliability.

Provide pre-sales technical consultancy and solution design for enterprise customers, conduct demos/POCs, prepare RFP/RFI/tender responses, and deliver professional services and training for channels and distributors.

Provide post-sales technical support for Thales authentication and encryption products: troubleshoot complex issues, interpret logs, reproduce bugs, recommend workarounds, lead critical escalations, mentor support engineers, own product knowledge base, and support new product introductions and hotfix deployments.

Support and improve CI/CD pipelines, cloud operations, automation, monitoring, and DevSecOps practices for government systems. Implement secure deployment automation, integrate security controls, maintain IaC and runbooks, monitor system health, manage releases, conduct root cause analyses, and support vulnerability management and compliance activities.