Top AWS Jobs in Singapore

The Data Scientist role involves designing AI-driven solutions for gaming, using Reinforcement Learning and collaborating with engineers to enhance game experiences.

The Site Reliability Engineer will manage cloud-scale production environments, automate operations, ensure system reliability, and collaborate on AI products.

The Software Engineer will design, develop, and deploy AI systems, optimize workflows, and collaborate with teams to integrate AI capabilities in applications.

As an AI Architect, you will design and implement AI solutions, bridge business and technical needs, and lead AI model development within a team. Responsibilities include identifying AI opportunities, maintaining architecture, and optimizing systems while ensuring best practices in MLOps and stakeholder collaboration.

The Enterprise Sales Executive will build strategic relationships, generate pipeline in greenfield accounts, lead multi-month deals, and work with various stakeholders in selling Professional Services and Managed Services.

The role involves managing cloud-scale production environments for AI products, ensuring reliability, implementing automation, and collaborating with engineering teams.

The AI/ML Architect will guide customers in implementing AI solutions on AWS, manage project delivery, and mentor other technical staff, requiring strong expertise in machine learning and AWS services.

The Senior Principal Engineer designs and implements technology solutions, aligns IT strategies with business goals, oversees project delivery, and fosters innovation while ensuring compliance and risk management.

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.

Provide technical support for Portfolio Management Systems, analyze processes, engage with clients, and maintain system documentation for onboarding hedge funds and asset managers.

The Senior Software Engineer will design, deploy, and maintain scalable cloud infrastructure, focusing on automation, security, and performance improvements.

As a PreSales Graduate, you will support customers by understanding technology needs, creating solutions, and building professional relationships to drive sales opportunities.

The Solutions Architect will lead technical engagements, translating business challenges into automation solutions, and develop technical content while mentoring team members.

The intern will develop web applications and dashboards, manage clinical trial data infrastructure, utilize AI tools, and enhance data visualization for decision-making in drug development.

The role involves developing and troubleshooting embedded software and firmware, enhancing communication protocols, and optimizing performance for real-time control systems.

Lead operation and improvement of enterprise infrastructure across virtualization, cloud, and hybrid environments. Drive monitoring, automation, security, patching, incident response, and mentor engineers while acting as senior technical escalation for regulated production systems.

Lead the design and implementation of scalable AI/ML platforms using Databricks, focusing on architecture, data ingestion, and MLOps frameworks. Collaborate with stakeholders to create production-ready AI solutions.

The Senior Data Engineer will design, build, and operationalize data solutions, focusing on creating large-scale data pipelines and supporting AI/ML teams, while ensuring client value and effective partnership.

As a Cloud Engineer, you design, implement, and manage cloud infrastructure across AWS, GCP, and Azure, utilizing IaC and CI/CD tools, while ensuring compliance and governance.

The Hybrid IT Solutioning Engineer designs and governs hybrid infrastructure solutions, delivering secure, cost-effective solutions that align with enterprise standards and support business initiatives.