Top AWS Jobs in Singapore

Drive technical pre-sales for Sonar: deliver demos, advise on deployments, troubleshoot evaluations, enable partners, and support adoption with Customer Success and Product teams.

The Software Engineer will develop features for SonarQube, architect cloud-native applications on AWS, and mentor junior engineers, ensuring code quality and effective agile processes.

Lead design, build, and operationalize agentic AI platforms and services. Develop orchestration, evaluation, observability, governance, APIs, and backend systems. Improve performance, scalability, and reliability. Provide technical leadership, mentor engineers, and collaborate with product, data science, security, and governance teams to ensure responsible AI deployment across the enterprise.

Design, build, and operate highly reliable, scalable, event-driven systems for card issuing, transactions, and settlement. Lead architecture, drive platform improvements, ensure operational readiness, mentor senior engineers, and influence cross-team technical direction.

Design, build, and maintain scalable, secure backend services for card issuance and spend management. Own end-to-end feature delivery, contribute to architecture, write reliable testable code, ensure observability and API quality, collaborate cross-functionally, and mentor other engineers.

Lead technical direction and hands‑on implementation of Airwallex's real‑time risk and fraud detection platform. Design distributed, low‑latency systems; own end‑to‑end delivery; write production Java/Spring Boot code; integrate ML models and feature stores; ensure observability, reliability, and operational excellence; mentor engineers and collaborate across product, data, SRE, and security teams.

Lead Growth engineering: define technical strategy and roadmap, own architecture and system quality, drive delivery practices, ensure production reliability and security, mentor engineers, and collaborate with product and design to build scalable, API- and integration-heavy systems that optimize user acquisition and onboarding.

Lead strategy, roadmap, and delivery of real-time fraud detection and client-facing risk products. Architect scalable, high-availability systems, drive operational excellence, recruit and develop engineering managers and senior engineers, collaborate with cross-functional teams, and ensure reliability, observability, and cost-efficient real-time decisioning under high load.

Lead a KYC engineering team to design, build, and maintain scalable automation and AI-driven systems for onboarding, risk detection, and fraud prevention. Collaborate with product, ops, and compliance, participate in architecture and code reviews, improve reliability and performance, and mentor junior engineers.

Design and build scalable backend infrastructure for global payments: optimize API gateways, routing, search, notifications, workflows; solve distributed systems challenges, evaluate new technologies, and improve developer experience and performance at scale.

Lead design and implementation of a next-gen billing platform: analyze requirements, design architecture, develop core components on a microservice framework, ensure high concurrency/availability, introduce new technologies, and build/manage the technical team and coding standards.

Design, build, and maintain scalable, secure lending services and APIs. Drive architecture and reliability for distributed, high-throughput credit products, mentor engineers, and collaborate cross-functionally to deliver compliant embedded lending solutions.

Lead design and implementation of scalable, secure lending services and APIs. Drive architecture, reliability, DDD/event-driven patterns, cloud-native deployments, observability, testing, and mentor engineers to deliver enterprise-grade credit products.

Lead the Onboarding engineering team to define technical strategy, architecture, and delivery for KYC/onboarding workflows. Partner with Product and Design to prioritize roadmap, ensure code and design quality, own operational excellence (monitoring, incidents, audits), and drive scalable, secure API- and integration-heavy systems.

Serve as the primary IT engineer for Legal, Risk & Compliance: design and implement workflows, automations and AI; integrate SaaS and cloud systems; manage identity and access; own legal applications; run projects end-to-end; handle escalations and on-call incidents; write docs and collaborate with INFOSEC, People Ops, and Engineering to scale global systems.

Design, build, and operate backend services for card issuing, transaction processing, and settlement. Develop scalable, resilient distributed systems and RESTful APIs. Ensure reliability through monitoring, alerting, on-call participation, and performance tuning. Write well-tested code, participate in design reviews, mentor peers, and collaborate with product and regional stakeholders.

The Customer Engineer will serve as a technical advisor, managing customer relationships, validating technical solutions, and ensuring long-term adoption and growth of Cloudflare's services while leveraging AI for workflow automation.

Manage and review sales opportunities and order forms for compliance, resolve order discrepancies, facilitate signatures, support marketplace orders, provide sales training, improve order processes, test projects, maintain documentation, meet month-end close deadlines, and perform tasks affecting customer billing and access.

Design, build, and scale backend services in Golang powering onboarding and KYC across products and regions. Own end-to-end delivery, improve onboarding conversion via data-driven changes, lead cross-cutting design reviews, and ensure security, operational integrity, and scalable architecture for rapid global expansion.

As an AI/Data Science Intern in NAND Device Engineering, you will develop AI-driven automation workflows, intelligent decision-support tools, and data pipelines to enhance engineering processes in NAND technology.

Lead design and implementation of cloud-native IAM and account infrastructure. Define technical strategy, build high-availability backend services in Java/Kotlin, enforce security protocols (OAuth2/OIDC/SAML), optimize scalable infrastructure, mentor engineers, and align roadmaps with Product, Security, and Compliance for global regulatory requirements.

Design, build, and deploy end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, digital twins, robotics integration, containerized edge/cloud deployments, GPU inference optimization, Responsible AI, and 3D simulation validation.

Design, build, and ship end-to-end production AI applications for smart manufacturing: data pipelines, model training/inference, APIs, web/mobile front-ends, on-prem/edge deployment, MLOps, monitoring, Responsible AI, and integration with robotics and MES.

Design, deploy, automate, monitor, and operate production databases across cloud environments. Troubleshoot incidents, participate in on-call rotations and post-incident reviews, execute large-scale migrations, improve fleet reliability, and collaborate with engineering and customer-facing teams to build resilient database systems.

Develop analytics, operations-research and machine-learning solutions and web applications to improve semiconductor manufacturing efficiency and scheduling. Manage requirements, stakeholders, and delivery; collaborate across teams; integrate AI-assisted tools; and support continuous improvement in capacity, cycle-time, and scheduling optimization.