Top AWS Jobs in Singapore

Develop and support cloud-native applications, microservices, APIs, CI/CD pipelines, containerized workloads, and Kubernetes platforms. Manage multi-cloud infrastructure across AWS, Azure, and GCP while implementing monitoring, observability, automation, and production support practices. Support AI/ML infrastructure, GPU clusters, model-serving platforms, and emerging technologies. Collaborate across engineering, security, operations, and AI teams to deliver scalable, secure, reliable platform solutions.

Build and scale Euler’s AI-native PRM platform across the front end and back end. Develop React and Next.js applications, Python and Node.js services, CRM and partner-tool integrations, AWS and Cloudflare microservices, REST APIs, and deployment workflows. Collaborate with engineering and AI teams, apply secure coding practices, maintain CI/CD pipelines, and ship scalable features while working US East Coast hours.

Lead AI and machine learning projects, develop production LLM and agentic applications, mentor apprentices, maintain AI technologies, and support AI training programmes. Responsibilities include end-to-end project delivery, use-case scoping, applied machine learning, MLOps, cloud pipelines, technical research, curriculum development, workshops, and communicating complex concepts to technical and non-technical audiences.

Build and operate end-to-end machine learning systems for misdirected email detection. Responsibilities include data wrangling, feature engineering, model training, evaluation, deployment, monitoring, experimentation, A/B testing, threshold setting, error analysis, and production support. The role partners with product and engineering stakeholders, contributes to technical documentation, participates in on-call rotation, and improves detection efficacy, reliability, scalability, and customer impact.

Design, develop, deploy, and optimize enterprise AI applications and agentic AI solutions. Responsibilities include LLM and RAG architecture, multi-agent workflows, backend APIs, enterprise integrations, security, governance, evaluation, monitoring, and production deployment. The role also supports presales, POCs, solution design, client consulting, documentation, knowledge transfer, and stakeholder communication. Travel of 50% or more is required.

Owns new-logo acquisition across Malaysian mid-market accounts, building pipeline, leading business-value sales conversations, and closing deals. The role engages technical and business stakeholders, partners with sales engineering and cloud ecosystem partners, maintains accurate Salesforce forecasting and deal hygiene, and represents Snowflake in Malaysia’s technology community. Success requires strong B2B SaaS, cloud, or data sales experience, quota attainment, territory development skills, and established Malaysian customer and partner relationships.

Develop and deploy AI solutions for public- and private-sector clients while supporting AI governance, data protection, fairness, and transparency. Apply machine learning across NLP, computer vision, recommendation systems, reinforcement learning, and forecasting. Build end-to-end AI systems using modern cloud, MLOps, software engineering, and infrastructure tools. Collaborate with clients, colleagues, and partners, continuously expand technical expertise, and contribute to transformative digital initiatives.

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.

Drive enterprise revenue for Isovalent Enterprise by executing territory sales plans, generating pipeline, partnering with Cisco sales teams, and leading full sales cycles from discovery through closure. Communicate technical value and ROI to practitioners and executives, navigate complex buying groups, and maintain knowledge of cloud-native, observability, security, and competitive markets.

Own and grow a named territory of Singapore public sector agencies. Lead complex procurement-driven sales cycles, including tenders, RFPs, quotations, contracting, and expansion. Build relationships with government technology and executive stakeholders, develop account plans, co-sell with cloud and systems integration partners, run proofs of value, and drive post-launch consumption. Maintain accurate forecasts and pipeline while translating agencies’ data, governance, security, and AI priorities into Snowflake partnerships.

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.

Develops secure, scalable Java applications and microservices for JPMorganChase’s Asset and Wealth Management technology teams. Responsibilities include system design, RESTful API development, production coding, troubleshooting, architecture documentation, data analysis, and TDD/BDD testing. The role requires Java and Spring/Spring Boot expertise, software development lifecycle knowledge, secure coding practices, and experience with enterprise AI-assisted development tools. Preferred experience includes AWS, Terraform, front-end technologies, and full-stack development.

Leads software engineering within an agile Asset and Wealth Management technology team. Designs, develops, tests, troubleshoots, and reviews secure, scalable Java applications. Drives production stability, automation, CI/CD, resiliency, and responsible adoption of AI-assisted development tools. Coaches engineers on validating AI outputs and secure practices, and evaluates vendor and architectural solutions. Requires cloud-native experience, financial services IT knowledge, and expertise with Java and Spring Boot; AWS and Terraform experience is preferred.

Develop and maintain secure, resilient software for a mission-critical real-time payments platform. Responsibilities span design, Java/Spring development, testing, troubleshooting, code reviews, production readiness, automation, and operational support. The role requires full SDLC participation, distributed systems understanding, cloud exposure, secure coding, responsible AI-assisted development, and collaboration across upstream and downstream systems.

Hands-on senior architect who designs and implements scalable, secure cloud-native solutions, mentors engineers, drives CI/CD and automation, and integrates public blockchain technologies with enterprise systems within the financial services domain.

Lead delivery of data and digital consulting services: define deliverables, engage senior stakeholders, manage small teams, design scalable data pipelines, implement dashboards and analytics, ensure data quality and governance, and drive digital transformation using cloud, BI, and automation tools.

Build and deploy production-grade generative AI systems for fintech, including stateful agents, multimodal RAG pipelines, model evaluation, red teaming, security guardrails, observability, and cloud infrastructure. The role requires deployment autonomy across AWS or GCP, containerization, CI/CD, retrieval engineering, and secure AI governance for financial data and advice.

Design, deploy, and maintain AWS and hybrid infrastructure across development, staging, and production. Administer cloud, virtualization, container, monitoring, security, and Infrastructure as Code platforms. Improve reliability through SRE practices, automation, observability, disaster recovery, and resilience testing. Troubleshoot platform issues with development teams while maintaining documentation and runbooks.

Own end-to-end security for AI computer-use agents, including application security, cloud and Kubernetes hardening, CI/CD security, sandboxing, prompt-injection defenses, incident response, vendor reviews, and compliance. Build security tooling, establish foundational processes, partner with engineering and research, and protect the evolving attack surface of autonomous AI agents.

Build and operate Supabase’s multi-tenant, multi-region Kubernetes container platform. Responsibilities include platform automation, controllers, internal tooling, CI/CD and rollout primitives, security automation, observability, SLOs, error budgets, incident response, operational readiness reviews, resilience design, and infrastructure cost optimization. The role participates in on-call rotations and guides product teams toward reliable operational practices.

Designs, implements, and governs enterprise CyberArk privileged access management across APAC banking operations. Responsibilities include CyberArk architecture, privileged-access policies, high availability, monitoring, disaster recovery, secret management, credential rotation, cloud and hybrid IAM integration, automation with PowerShell and Python, and embedding PAM controls into DevSecOps and CI/CD environments.

Build and maintain scalable Python backend services and secure FastAPI APIs, integrating LLMs and AI workflows into production applications. Own features through design, implementation, testing, deployment, and support. Improve reliability, performance, observability, and maintainability through database optimization, caching, asynchronous processing, secure API design, automated testing, CI/CD, and containerization. Collaborate across product, frontend, AI, and infrastructure teams while mentoring junior engineers and contributing to architecture.

Build and productionize agentic AI systems for cybersecurity applications, including RAG workflows, evaluation and observability, safety guardrails, traditional ML, scalable inference, and CI/CD. The role requires strong Python and cloud/MLOps skills, cybersecurity awareness, and collaboration with product and security teams to deliver reliable, auditable AI services.