Top AWS Jobs in Singapore

Own end-to-end execution of complex enterprise implementations: project planning, engineering coordination, data migration, integrations, cutover, training, hypercare, and stabilization. Manage stakeholders, risks, timelines, and run go-lives to ensure production-ready deployments and smooth transitions to ongoing operations.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

As a Cloud Support Engineer, you will manage a multi-cloud infrastructure, ensure operational excellence, troubleshoot issues, collaborate with teams, and support new cloud initiatives.

As a GIS Solution Engineer, you will solve complex challenges using Esri technology, engage with customers, and advise on GIS solutions for infrastructure needs.

The Senior Associate Security Technical Services Systems Integration Specialist manages installations, configurations, and troubleshooting for security solutions, ensuring alignment with SLAs and project requirements. They also assist in documentation and project administration, focusing on technical design and security technologies.

Operate and support multi-cloud data platform components (Alibaba Cloud and AWS). Build monitoring, SLA/SLOs, respond to incidents, troubleshoot and root-cause issues, optimize compute/storage and cloud costs, develop automation and operational tooling, and collaborate with data and platform teams and cloud vendors to improve platform reliability.

Lead design and build of an R&D Efficiency Platform to improve engineering delivery via CI/CD, DevSecOps, change management, AI-native pipeline automation, microservice governance, and cloud scalability.

Design and build a multi-cloud Operations Automation & Cloud Management Platform. Integrate cloud provider APIs and Terraform, develop CMDB, Event Center, orchestration engines, REST/gRPC interfaces, and AI/LLM-driven intelligent orchestration, workflow, and ChatOps capabilities. Ensure security (OIDC, IAM, RBAC) and operational stability.

Lead AI strategy and commercial engagements for enterprise clients. Act as C-suite advisor, drive AI adoption, presales, solution design, and revenue growth. Develop AI use cases, PoCs, LLM/Generative AI solutions, partnerships, and go-to-market strategies while collaborating with product, engineering, and delivery teams and mentoring internal teams.

Develop and deploy analytics and predictive models to improve logistics operations. Lead cross-functional initiatives, providing insights and fostering data-driven decision-making.

Design, build, and deploy cloud-native, containerized and serverless microservices (primarily on AWS) with multi-region, high-availability architectures. Lead and mentor engineers, establish architecture and engineering best practices, support production incidents, collaborate across security, product, and operations, and modernize a monolithic platform into distributed services.

Early-career DevSecOps role focused on securing and automating Binance infrastructure: design/deploy AWS security measures, harden systems, analyze logs for threats, perform access and vulnerability assessments, and build or leverage LLMs for anomaly detection.

Provide technical support, troubleshoot and maintain cloud infrastructure (compute, storage, networking, identity, security). Collaborate with application and security teams, implement IaC and automation (Terraform), enforce cloud security and compliance, optimize performance and costs, document procedures, and participate in cloud design, migration, and continuous improvement.

The Associate Data Engineer will contribute to Machine Learning and NLP projects, collaborate with cross-functional teams, and enhance threat detection through data-driven intel.

As a Senior DevOps Engineer, you will enhance scalability, automation, CI/CD practices, and security while collaborating with developers and security teams.

Design, build, and operate microservice-based systems and mobile/web applications for a blockchain-enabled trading platform. Lead technical delivery across cloud-native stacks, blockchain protocols, observability, testing, documentation, and support of mission-critical production systems while mentoring peers and collaborating with stakeholders.

Build and maintain AIOps platform core infrastructure (monitoring, alerting, FinOps). Maintain internal R&D tooling (GitLab, Nexus, Sonar). Manage multi‑cloud monitoring data collection, alert governance, and cost visualization. Support cloud security operations including alert management and compliance auditing.

Lead design, deployment, monitoring, and lifecycle management of hybrid public cloud infrastructure (AWS and Alibaba Cloud). Ensure high availability, cost optimization, security/compliance, incident response, and cross-team collaboration while automating operations and documenting SOPs.

Lead MLOps efforts by designing, building, and maintaining ML pipelines, implementing CI/CD workflows, mentoring engineers, and ensuring data privacy and compliance.

Lead design and build of automated, scalable cloud infrastructure and CI/CD on GCP and AWS. Implement IaC (Terraform/Ansible), CI/CD pipelines, monitoring, security automation, and SRE/DevOps best practices. Collaborate with stakeholders, create proofs of concept, resolve L2/L3 operational issues, and evangelize automation across the organization.

Second-line technology risk manager responsible for assessing and reporting infrastructure and cybersecurity risks, conducting independent assurance and stress tests, validating controls across cloud and on-prem platforms, overseeing remediation, performing RCSAs and QA reviews, and communicating risk findings to senior management and risk committees.

Develop and deploy enterprise-grade AI and Generative AI solutions, working on applications like LLM and RAG, ensuring operational stability.

The Platforms and Data Engineer will develop and manage high-performance analytics solutions, design data transformation processes, maintain data systems, and support AI projects.

This role involves developing a next-generation risk platform, optimizing risk controls, and mentoring junior engineers while collaborating across teams to ensure effective risk management in trading operations.

Manage design, deployment, optimization, and lifecycle of enterprise cloud database platforms on Alibaba Cloud and AWS. Perform backup/recovery, monitoring, capacity planning, performance tuning, security controls, DR testing, migrations, scaling, and incident root-cause analysis across relational, NoSQL, and distributed databases.