Top AWS Jobs in Singapore

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 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.

Define global technical strategy and architecture for enterprise and cloud corporate networks. Design, deploy, and maintain multi-region hybrid LAN/WAN/wireless/VPN connectivity across offices and clouds, manage multi-vendor hardware, lead incident response and on-call rotations, implement IaC automation (Terraform, Ansible), mentor and grow the network team, and collaborate cross-functionally to secure and scale network services.

Build and maintain Airwallex's 3DS card authentication infrastructure and payment APIs. Design, develop, and operate reliable services, collaborate with global teams and financial partners, troubleshoot production issues, and own critical components of the online payment processing flow.

Design, build and maintain scalable, secure cloud infrastructure and core services. Work on public cloud platforms, Kubernetes and service mesh, automate operations with IaC, and collaborate with engineering, product and security teams to ensure reliability and developer usability at global scale.

Own end-to-end design and development of scalable payment and treasury systems, shape APIs and architecture, drive production excellence, and collaborate cross-functionally to build customer-facing fintech solutions and AI-enabled automation.

Lead architecture and development of backend systems for card products, drive cross-team technical initiatives, own service lifecycle, ensure scalable, secure, high-performance designs, establish best practices, and mentor engineers.

Design, build, and maintain scalable Java/Kotlin microservices and event-driven systems for high-throughput global growth initiatives. Collaborate with data scientists and product teams to create data pipelines and analytics, enable A/B testing and feature toggles, improve observability and performance, and ensure secure, compliant backend solutions while mentoring peers.

Lead design, delivery and operation of scalable cloud infrastructure for Spend. Embed with product teams to drive reliability, observability, incident response, SLOs, runbooks, automation and compliance. Lead infrastructure projects like new service launches and global data centre migrations while collaborating with central DevOps and security.

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.

Sell MongoDB products within an assigned territory by prospecting, qualifying, and closing complex enterprise deals. Build relationships, exceed bookings targets, collaborate with Professional Services, and participate in sales enablement and leadership programs.

Lead pre-sales architecture and technical engagements for MongoDB, advising customers on scalable distributed systems, driving demos, proofs-of-value, and account strategies while collaborating with sales to win deals and ensure customer success.

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.

Own technical relationships with DigitalOcean's largest enterprise customers. Act as trusted advisor to executive stakeholders, run QBRs/EBRs, and drive architecture, migration, and GPU/AI workload optimization. Collaborate with Product and Engineering to remove roadblocks, influence roadmap, and identify expansion and cost-optimization opportunities.

Lead and scale APAC post-sales operations: own regional operating model, lead analysts, partner with CS/Support/Services, deliver programs, implement automation and AI-enabled improvements, and provide executive reporting and regional feedback to global standards.

Embed as a hands-on technical expert within customer teams to design, configure, and optimize Cloudflare solutions. Lead implementations, build automations and prototypes, produce architecture and delivery artifacts (HLD/LLD, runbooks, test/deployment plans), run workshops and knowledge transfer, and act as customer advocate to Cloudflare product and engineering teams while aligning technical outcomes to business objectives.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

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.

The AI-Driven Process Development Internship involves using data analytics and machine learning for process development in semiconductor technologies, focusing on process optimization and collaboration with engineers.

Drive co-sell and channel engagement with AWS, Azure, and GCP across APAC. Build and scale joint sales plays, enable regional sellers, drive cloud marketplace private offers, create pipeline with cloud partners, track co-sell bookings and adoption, and represent Dynatrace at partner and field events.

Design and deploy computer vision and deep learning models (CNN, LSTM, transformers) for industrial inspection and anomaly detection; extract, clean, and analyze large multimodal datasets; implement MLOps (MLflow, Airflow, Docker) for production deployments; collaborate across engineering, operations, and quality teams; mentor engineers and contribute research outputs and technical documentation.

Design and deploy computer vision and deep learning solutions for manufacturing inspection and monitoring. Extract and clean large datasets, build multimodal AI models, apply MLOps for production deployment, and collaborate with cross-functional teams to translate research into operational systems and documentation.

Lead design and delivery of end-to-end AI solutions for smart manufacturing, including data pipelines, ML/DL models, LLM and agentic AI integration, full-stack front-end/back-end apps, robotics and AMR integration, digital twin and 3D simulation, containerized cloud/edge deployment, CI/CD, observability, and team mentorship.

Lead large-scale technical risk assessments, design and deploy enterprise cybersecurity controls (including AI-assisted validation) across cloud-native applications, advise stakeholders and engineering teams, and drive adoption of firmwide security frameworks and SDLC-integrated controls.

Serve as regional GRC lead for APAC: manage security controls, regulatory engagement, policy creation, compliance evidence and audits (PCI, ISO, SOC2), automate compliance with AI, and support cross-functional security and cloud initiatives.