Top AWS Jobs in Singapore

The Client Technology Manager oversees IT managed services for clients, ensuring satisfaction through relationship management, project delivery, and technical support, while leading a team of engineers.

Design, develop, and maintain data infrastructure microservices using C++, optimize for performance, debug issues, and collaborate with teams.

Support and enhance Exposure Management platforms, handle support tickets, configure, deploy, maintain products, and collaborate with cybersecurity teams.

The Presales Solution Architect collaborates with clients to design and implement cloud-based solutions, leveraging modern methodologies and automation tools to meet business needs.

As a DevOps Engineer, you will design, automate, and maintain secure cloud infrastructure, manage deployment pipelines, and troubleshoot system issues within government IT projects.

Build and optimize HUD's comprehensive evaluation framework for Computer Use Agents (CUAs) at scale, ensuring high performance and reliability.

Own reliability, scale, performance, and developer experience for HUDs core infrastructure. Build and maintain AWS/Terraform/Kubernetes-based systems, CI/CD, observability, and deployment workflows. Drive incident response, cost optimization, autoscaling, and backend/design improvements; write automation and internal tools to improve reliability and developer productivity.

The Forward Deployed Engineer will work with client engineering teams to design and implement GenAI observability programs, manage projects, and maintain client relationships, requiring strong technical and communication skills.

The Senior Platform Engineer will manage and build cloud-native infrastructures, develop backend features, ensure high availability, and interface with users while leveraging AI to enhance developer productivity.

The Cloud Architect will design multi-cloud environments, ensuring robust security, networking, and compliance for enterprise clients while maintaining delivery accountability.

Conduct research and technical evaluations of AI models, build feasibility studies and proofs-of-concept, mentor and up-skill colleagues, participate in communities of practice, and keep current with AI research to support generative AI programs and internal use-cases.

Design, provision, and maintain AWS cloud infrastructure using Terraform. Support CI/CD, container deployments (Docker, Kubernetes), monitoring, troubleshooting, and collaborate with dev and ops teams to deliver scalable, secure solutions. Document processes and runbooks.

The IT Support Specialist will manage, troubleshoot, and optimize e-commerce applications, ensuring high availability and seamless user experience while coordinating across various teams to support system operations and performance.

Design, build, and secure AWS cloud infrastructure using Terraform and EKS; implement CI/CD with GitLab Runners; integrate security scanning, Policy-as-Code, and GenAI guardrails; deploy enterprise observability (ELK/Prometheus-Grafana, OpenTelemetry) to monitor metrics, logs, and traces; establish SLOs, alerts, and incident response; and embed DevSecOps practices across the SDLC.

Provide pre-sales technical consultancy and solution design for commercial customers. Lead demos, POCs, tender responses, and training; design and propose network and security implementations across on-prem and cloud environments.

Lead and scale the engineering organization for a regulated digital-asset custody platform. Own hiring, org design, engineering operations (on-call, incidents, release hygiene), delivery against roadmaps, audit and regulator readiness (SOC 2, SAMA, ISO 27001), and cross-functional alignment. Amplify an existing small, specialized team to meet regulatory and institutional requirements while preserving culture and retention.

Operate and maintain AI agents and agentic managed services in production. Implement observability, monitoring, incident response, release management, and cost/performance optimization. Track agent accuracy, latency, availability, token consumption, and manage releases and rollbacks. Produce runbooks, reliability standards, and collaborate with engineering, quality, and AMS teams to improve reliability, security, and cost efficiency.

Contribute to backend services and APIs in Python, support development and deployment of ML models, containerize applications, improve CI/CD and deployment workflows, debug and optimize system performance, and collaborate on system design while writing clean, documented code.

Lead global data engineering for wealth management: define roadmap, design scalable pipelines, oversee data lakes/warehouses, select technologies, optimize performance, enforce data governance, and manage a distributed engineering team to deliver high-quality financial data solutions.

Build and operate backend services in Elixir/Phoenix handling real-time freight events, high-volume data, and reliability. Contribute to architecture, write production-ready tested code, improve tooling, participate in deployments/troubleshooting, and use agentic AI tooling responsibly. Optional front-end work with React/TypeScript for fullstack candidates.

Implement and configure Collibra data catalog and lineage (technical and business), integrate metadata from ETL, data lake/DWH and core banking systems, map end-to-end lineage, enforce MAS-aligned data governance, validate metadata quality, and manage stakeholder delivery and reporting.

Design, build, deploy and govern AI solutions (LLMs, agentic systems, MLOps). Collaborate with clients and partners, deliver end-to-end AI projects, and continuously upskill in AI engineering and deployment best practices.

As a Postgres Deployment Engineer, you will manage PostgreSQL lifecycles, optimize CI/CD systems, resolve production issues, and mentor teammates. You will focus on deployment stability and enhance developer tools.

As a Senior DevOps Engineer, you will enhance our AWS infrastructure and deployment processes, automate tasks, manage CI/CD pipelines, and mentor junior engineers.

Work with Product, Business, and Engineering to collect, clean, analyze data, build Python and SQL automation, contribute to internal analytics platforms, assist cloud deployments, and document technical solutions to support decision-making.