Top AWS Jobs in Singapore

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 scalable trading technology applications using Java microservices, reactive programming, Kafka, messaging, Kubernetes, Redis, and AWS. Contribute to API and architecture design, testing, documentation, monitoring, security, code reviews, and CI/CD practices. Promote AI-assisted software engineering and automation across the team. Requires 5+ years of software engineering experience and familiarity with distributed systems, microservices, databases, and event-driven architecture.

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.

Analyze and reverse engineer malware, develop detection signatures, automate threat intelligence workflows, hunt for emerging threats, research vulnerabilities and exploits, and support incident response investigations. The role also requires documenting technical findings, producing intelligence reports, collaborating with business and technology stakeholders, and validating AI-assisted research outputs according to security and data-handling requirements.

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.

Lead production technology support for applications and infrastructure, ensuring service stability, availability, and performance. Monitor environments, troubleshoot anomalies, manage incidents, problems, and changes, and coordinate issue resolution with business and technology stakeholders. Use observability tools and validated AI-assisted practices to identify recurring issues and improve resiliency, security, and auditability. The role supports on-premises and public-cloud environments and requires knowledge of Linux/Unix, scheduling tools, databases, SQL, Jenkins, Git, Bitbucket, and ITIL processes.

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.

Develops secure UI and backend services enabling compliant enterprise AI and LLM access for China-based users. Responsibilities include designing APIs and applications, integrating approved LLM endpoints, implementing policy enforcement and access controls, producing architecture artifacts, maintaining AWS services, analyzing operational telemetry, and improving resiliency, security, and coding practices. The role also promotes responsible AI-assisted development, testing, automation, and agile software delivery.

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.

Summer analysts will build and deploy machine learning, generative AI, and agent-based solutions; integrate complex datasets; develop predictive models; run experiments; analyze trends; and deliver actionable insights. They will also support data governance, risk management, data quality, privacy, and regulatory controls while collaborating with agile, cross-functional teams. The program includes mentorship, training, and potential full-time opportunities after graduation.

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.

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.

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.

Lead software engineering work for JPMorganChase’s Post Trade Technology team, designing, developing, testing, troubleshooting, and supporting secure, scalable production applications. The role involves code review, operational stability improvements, cloud-native development, SDLC practices, agile delivery, and evaluating vendor architectures. It also leads responsible adoption of AI-assisted engineering tools for coding, testing, code review, incident analysis, and automation.

Leads a team developing and productionizing predictive, machine learning, deep learning, and GenAI solutions for semiconductor manufacturing and HBM product engineering. Responsibilities include yield and reliability modeling, large-scale data pipelines, MLOps, model monitoring and drift control, distributed analytics, deployment, and engineering decision support. The role also requires mentoring engineers, setting technical direction, collaborating cross-functionally, and translating model outputs into improvements in quality, cost, cycle time, and manufacturing efficiency.

Lead the design, delivery, and operation of secure, scalable software capabilities for AI security products. Own complex technical initiatives, make architectural decisions, investigate production issues, improve engineering practices, mentor engineers, and collaborate with product and research teams. The role requires expertise in distributed systems, security engineering, backend platforms, cloud infrastructure, concurrency, networking, storage, APIs, and observability, with strong proficiency in Go, Rust, and Python.

Provide business-facing production technology support across Asia Pacific within a global follow-the-sun model. Manage incidents, escalations, post-incident analysis, monitoring, service KPIs, and preventative improvements across applications and infrastructure. Serve as an application subject matter expert, apply SRE practices, troubleshoot complex full-stack systems, and improve support tools and processes. Collaborate with business, technology, and vendor teams to maintain operational stability, availability, and performance.

Designs and operates highly available, multi-account, multi-region AWS and GCP cloud networks. Automates infrastructure with Terraform and Git-driven CI/CD, manages BGP, IPsec VPN, hybrid and cross-cloud connectivity, and supports secure landing zones. Serves as an escalation point for complex networking incidents, improves observability, participates in global on-call rotations, and collaborates with Security, DevOps, and Platform teams.

Leads strategic enterprise customer programs for Dynatrace adoption and business outcomes. Responsibilities include program governance, executive stakeholder management, roadmaps, delivery oversight, risk and dependency management, customer adoption, organizational change, and value realization. The role coordinates cross-functional teams, partners, and customer stakeholders across Asia-Pacific, facilitates governance forums, and directly manages projects when needed. Travel up to 25% is required.