Top AWS Jobs in Singapore

Provides project and operational support for financial systems migration and deployment programs across the APAC region. Responsibilities include data validation, testing, UAT, deployment planning, issue and risk tracking, documentation, stakeholder coordination, reporting, cutover support, and post-migration stabilization. The role collaborates with hotel finance users, regional teams, vendors, and project stakeholders across multiple countries and time zones.

Build and run cloud partner enablement programs across APAC for AWS, Azure, Alibaba Cloud, and other hyperscalers. Equip partner and Mastercard sales teams with co-selling resources, account-mapping processes, marketplace guidance, sales plays, and product messaging. Coordinate events and cross-functional stakeholders, localize programs for regional markets, and track enablement impact through registered opportunities, co-sell engagement, marketplace transactions, and partner-sourced pipeline.

Develop and operate cloud-based data platforms and scalable ETL pipelines for NAND reliability engineering. Analyze large semiconductor and manufacturing datasets using Python, SQL, BigQuery, and PySpark. Develop and deploy AI/ML solutions for failure analysis, anomaly detection, reliability assessment, and engineering decision-making. Collaborate with IT, AI, quality, manufacturing, and engineering teams; communicate technical findings; support customer reliability inquiries; and promote AI-enabled productivity improvements.

Lead engineering teams building Airwallex’s issuing platform, including card lifecycle management, transaction processing, settlement, and dispute workflows. Own team health, hiring, coaching, execution, architecture, reliability, observability, security, and operational excellence. Partner with product and engineering leaders to deliver scalable, resilient, low-latency financial systems while balancing technical quality, developer productivity, stability, and cost efficiency.

Lead design and deliver high-quality, secure Java-based microservices and web applications. Drive architecture reviews, operational stability, CI/CD automation, and adoption/governance of AI-assisted engineering practices while mentoring engineers and promoting reuse and secure SDLC standards.

Design, deploy, and optimize agentic AI workflows and integrations for enterprise customers. Lead implementations from scoping through adoption, connect agents to customer data and systems, establish prompts, evaluations, guardrails, and human oversight, and coordinate engineering, data science, product, and customer success teams. Serve as the primary technical customer partner while managing roadmaps, requirements, delivery risks, and measurable implementation outcomes.

Leads architecture, consulting, and implementation strategy for complex Dynatrace observability engagements. Designs scalable enterprise and cloud solutions, integrations, governance models, implementation roadmaps, and transition plans. Advises customers, supports proposals and delivery estimates, manages technical risk, mentors consultants, and drives best practices across observability, automation, security, cloud, and IT operations. The role requires customer-facing workshops, executive communication, and occasional travel.

Build and operate scalable observability platforms covering metrics, logs, traces, alerting, dashboards, and service health. Develop self-service tooling, improve incident detection and response, establish observability standards, and optimize reliability, performance, and cost across global cloud-native systems. Partner with engineering, infrastructure, SRE, security, and product teams while participating in design reviews, incident response, and post-incident learning. Mentor engineers and promote operational excellence.

Drive land-and-expand enterprise sales across segments (especially public sector). Qualify opportunities, manage full sales cycles, present proposals, cultivate executive relationships, and expand accounts through upsell and cross-sell.

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.

Leads field marketing across ASEAN and South Korea by developing and executing demand generation, account-based marketing, awareness, events, partner, and customer programs. Partners with sales, SDR, global marketing, and hyperscaler teams to generate pipeline and revenue. Owns program planning, execution, reporting, agency and budget management, and data-driven optimization across diverse enterprise markets.

Manages Dynatrace’s regional partner ecosystem to generate software and services revenue. Recruits, develops, and enables partners; creates joint go-to-market strategies; communicates platform value to technical and executive audiences; drives partner-sourced pipeline; manages forecasts, business plans, and quarterly reviews; and collaborates with sales leadership to execute regional initiatives. The role requires extensive software sales, channel management, cloud services, and partnership development experience, with 25–50% travel.

Build and scale Airwallex’s machine learning platform for risk and fraud decisioning. Design data and model infrastructure, productionize training and serving workflows, improve experimentation, and optimize GPU-based training and inference. Partner with machine learning engineers, data scientists, product managers, and risk specialists to deliver reliable, low-latency systems. The role is based in Singapore and requires working from the office five days per week.

Develop secure full-stack software solutions, write and maintain high-quality code, perform security testing and vulnerability assessment, troubleshoot incidents, and improve platform resiliency. The role applies AI-assisted security workflows, automation, secure SDLC practices, cryptography, authentication, authorization, and regulatory controls. Engineers collaborate across teams, validate AI-generated recommendations, and support reliable application operations using technologies such as Python, Java, AWS, Kubernetes, observability tools, and infrastructure as code.

Leads end-to-end software engineering for regulatory reporting initiatives in payments technology. Builds secure, scalable Java and Python applications and Databricks/Spark data pipelines with quality, lineage, and reconciliation controls. Guides architecture, code reviews, automation, operational stability, and AI-assisted engineering adoption. Partners with vendors and internal teams while coaching engineers on secure, responsible AI practices and modern software delivery.

Lead MongoDB’s ASEAN pre-sales Solutions Architecture team from Singapore. Recruit, retain, coach, and develop talent across multiple countries; partner with enterprise sales teams to support customer solutions and bookings objectives; build customer relationships and identify growth opportunities; and collaborate with Professional Services and Marketing on customer success, seminars, trade shows, and related initiatives. Travel up to 30% may be required.

Own and grow MongoDB’s cloud partner business across ASEAN by managing AWS, Microsoft, and Google Cloud relationships. Responsibilities include prospecting, pipeline generation, closing partner-led business, enabling internal sales teams, executing joint go-to-market programs, and building strategic partner relationships. The role requires substantial quota-carrying sales experience, complex enterprise technology selling skills, sales methodology training, and the ability to consistently exceed targets.

Lead the architecture, development, and delivery of enterprise knowledge graphs and ontologies for financial-services clients. Define semantic models, advise on graph platforms, align solutions with FIBO and governance standards, and integrate graphs with data platforms and AI/LLM applications. The role includes client advisory, workshops, proposals, thought leadership, mentoring, and practice building across Asia.

Build and deploy production-grade AI solutions for insurance and financial services, including multi-agent workflows, LLMs, RAG systems, neural networks, and automation pipelines. Responsibilities include model training and optimization, backend development, cloud deployment, production monitoring, regulatory compliance, ethical AI, troubleshooting, code reviews, and collaboration with technical and business stakeholders.

Develop and deploy Java microservices for Trading Technology using reactive programming, Kafka, IBM MQ, Kubernetes, Redis, and AWS. Contribute to API and domain-driven design, testing, code reviews, scalability validation, monitoring, security, and technical documentation. Apply CI/CD, DevOps, TDD/BDD, distributed systems, and enterprise-approved AI-assisted development practices while supporting secure, scalable, event-driven applications.

Lead production deployment and release engineering for a global SaaS platform. Design CI/CD automation, reusable deployment frameworks, self-service workflows, infrastructure-as-code solutions, and release standards. Coordinate production releases, maintenance windows, rollbacks, and emergency deployments while improving reliability and reducing operational risk. Mentor engineers, drive platform modernization, and collaborate with Software Engineering, SRE, QA, Product, Release Management, Architecture, and Security teams.

Provides advanced technical support for enterprise customers using Cloudflare Zero Trust products. Troubleshoots identity, device security, authentication, secure application access, networking, cloud, and integration issues. Creates technical documentation, collaborates with Product, Engineering, and Security teams on escalations, supports security incident response, and communicates customer feedback to improve products.

Develops secure, scalable full-stack and back-end software for JPMorganChase’s Global Portfolio Holdings Technology team. Responsibilities include designing and troubleshooting applications, producing architecture artifacts, implementing Java and Python solutions, collaborating across globally distributed Agile teams, and maintaining automated testing, CI/CD, monitoring, and operational reliability. The role also applies AI-assisted development tools responsibly, analyzes application data, and guides improvements to software quality, architecture, security, and resiliency.

Lead the capture, design, tendering, and governance of resilient network connectivity solutions across Asia-Pacific. Translate business needs into high- and low-level designs, evaluate telecom vendors, manage supplier performance, embed resilience and risk controls, and support regional network strategy. The role also mentors engineers, drives technology adoption, and uses authorized AI tools for infrastructure analysis, documentation, automation, and traceable remediation.

Own and operate critical payment services and cloud infrastructure, ensuring availability, resiliency, performance, and stability. Monitor systems using Datadog, CloudWatch, and observability tools; lead incident recovery, root cause analysis, and corrective actions. Automate operational tasks, improve self-healing capabilities, define SLOs and alerting, and apply authorized AI tools to accelerate troubleshooting while maintaining security and auditability. Collaborate across teams and build expertise in payment transaction flows.