Top AWS Jobs in Singapore

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.

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.

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

Provide pre-sales consulting and solution architecture for Singapore/APAC enterprise clients. Create and maintain client architecture plans, run scoping workshops, build technical proposals, advise on cloud, networking, data center, applications, security and end-user experience, and cultivate OEM/partner relationships. Act as trusted advisor and SME across multiple infrastructure domains.

Serve as technical lead and pre-sales architect for enterprise customers across Singapore/APAC: gather requirements, design and document solutions, scope and price proposals, run workshops, coordinate multi-discipline teams and OEM partners, support RFPs/SOWs, and act as trusted advisor through solution delivery and optimization.

Lead pre-sales systems engineering and solution architecture for Singapore/APAC enterprise clients. Create client architecture plans, run scoping workshops, produce technical proposals and diagrams, consult on cloud, networking, data center, security, and application architecture, and act as trusted advisor to sales, engineering, and OEM partners to identify services opportunities.

Lead the development of AI tools that optimize the software development lifecycle, mentor teams, and implement scalable ML systems.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

The Principal Software Engineer will develop AI tools to enhance developer productivity and manage AI project execution across teams.

Collaborate with teams to develop AI tools for enhancing software development efficiency, mentor engineers, and manage AI projects across Grab.

As a Senior Software Engineer, you will design and implement backend components, improve service reliability, mentor colleagues, and integrate AI solutions in collaboration with other teams.

Lead the development of AI-driven software solutions, enhance engineering productivity, manage AI project execution, and mentor junior engineers.

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.