Top AWS Jobs in Singapore

Design, implement and maintain distributed, real-time backend systems in an Agile team. Mentor engineers, ensure quality via unit tests/CI/CD, build scalable solutions, deliver POCs, and collaborate across QA and architecture to meet functional and non-functional requirements.

Lead diagnosis and resolution of advanced issues across Kubernetes, Linux, networking, cloud and storage. Support ML model deployment and performance, build Python/Bash automation, mentor junior staff, maintain documentation, and collaborate with engineering to reduce incidents and improve systems.

Design and build AI-powered developer platforms, agent orchestration, RAG/retrieval systems, and CI/CD-integrated workflows to automate code generation, testing, deployment, and engineering productivity. Drive AI adoption, define best practices, and measure impact across Group Wealth Engineering.

Generate pipeline across APAC by researching and prospecting target accounts, executing personalized outbound campaigns (email/phone/LinkedIn), engaging technical buyers, partnering with AEs on territory plans, maintaining CRM hygiene, experimenting with messaging and AI tools, and consistently meeting pipeline-generation goals.

Lead design, development and maintenance of enterprise APIs and microservices (Java, Spring Boot, WSO2) across on‑prem and AWS. Provide technical leadership, deliver payment services (initiation to reconciliation), ensure API governance and security (OAuth2, JWT, mTLS), integrate with Kafka/IBM MQ, drive observability, CI/CD and production support, conduct reviews and documentation, and adopt AI-assisted engineering for automation and quality.

Operate and maintain the Data Platform across GCP and AWS, ensuring reliability, security, cost and performance. Manage IaC and CI/CD, run incident response and post-mortems, operate central data management (pipelines, storage, catalogues, access controls), improve observability and automation, and apply AI tools to streamline ops and tooling.

Lead and own technical direction for engineering teams, embedding AI/GenAI into development workflows. Provide full-stack architecture and code guidance, enforce GenAI best practices, mentor engineers, ensure delivery quality via CI/CD and testing, collaborate with clients and sales, and scale reusable assets using the Gen-E2 methodology.

Lead design and delivery of complex, scalable software using AI-assisted development. Mentor engineers, implement CI/CD and DevOps practices, establish AI/GenAI best practices and guardrails, validate AI-generated outputs, and contribute to reusable accelerators, presales, and Gen-E2 methodology.

Design, build, and maintain production-grade full‑stack applications using modern frameworks. Implement CI/CD and testing, ensure code quality and security, and use generative AI tools (e.g., Copilot) and prompt engineering as core parts of the development workflow. Validate AI outputs, collaborate with product teams, and contribute to internal Gen-E2 practices and playbooks.

Lead and mentor engineering teams to deliver full‑stack production applications while embedding AI-native workflows. Own technical direction, architecture, quality, and Gen-E2 best practices; collaborate with clients and sales, recruit talent, and champion responsible GenAI adoption.

Design and implement cloud infrastructure and MLOps solutions for customers. Lead PoCs, workshops, and trainings; create IaC and documentation; optimize GPU ML pipelines; act as technical advisor across product, support and marketing teams.

Maintain and scale global infrastructure (bare-metal, LXC, VMs, cloud). Operate core services (Nginx, GitLab, Artifactory), manage IaC and Kubernetes, handle incidents, monitor performance with observability tools, and design high-availability, fault-tolerant systems in collaboration with cross-functional teams.

Lead and develop AIAP projects and technologies, train and mentor AI apprentices, manage recruitment and syllabus updates, and run workshops and community engagement while delivering end-to-end AI solutions.

Lead technical pre-sales for enterprise data management: run technical discovery, demos, POCs, solution design, RFP responses, partner enablement, and executive briefings to drive adoption and validate value.

Lead technical pre-sales for Alkira across APAC: present and demo platform, scope and run POCs, design and troubleshoot enterprise hybrid/multi-cloud networks, partner with account managers and product to drive customer requirements to delivery.

Build and automate AWS-based platform capabilities, CI/CD pipelines, and release automation to enable internal product teams. Collaborate with developers and security teams to improve deployment workflows, monitoring, and platform adoption; provide standby/production support as needed.

Lead product engineering strategy and execution for a crypto exchange: build and mentor engineering teams, oversee architecture and low-latency trading systems, ensure scalability, security, compliance (AML/KYC), and deliver high-quality features through robust DevOps and CI/CD practices.

The Senior Engineer will design and maintain scalable payment and wallet services, manage digital asset custody, and collaborate with teams for system integration.

The role involves designing and developing tools in Python for trading and risk management, maintaining data pipelines, and collaborating with teams to enhance trading strategies using advanced techniques.

Provide 24/7 technical support for a cloud-native banking SaaS product: triage and resolve client issues, analyse logs and observability data, provision and manage cloud infrastructure, perform upgrades, and collaborate with engineering and client teams to ensure incident resolution and product rollout.

The role involves developing AI-driven banking solutions, writing efficient code, integrating systems, and ensuring software quality through testing and reviews.

Lead software development for AI-driven banking solutions, ensuring high-performance, scalable code and integration with AI algorithms across financial applications.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

The AI Engineer will solve complex problems using AI engineering expertise, maintain client relationships, and continuously improve skills in AI and data.

The GPU Cloud Platform Engineer designs and operates multi-cluster GPU infrastructures for AI workloads, ensuring performance and efficiency across cloud environments.