Top AWS Jobs in Singapore

The Solution Architect will lead design, development, and deployment of microservices-based systems, focusing on a React front-end and .NET backend while ensuring performance, security, and collaboration across teams.

The Software Quality Engineer ensures software quality via test strategies, automation, and agile practices, collaborating with stakeholders to enhance software systems.

The Site Reliability Engineer designs and operates cloud-based solutions, enhances system reliability, optimizes performance, and automates CI/CD processes.

As a Full-Stack Engineer, you will design, develop, and deliver software applications, ensuring quality and collaboration with various teams.

As a Senior DevOps Engineer, you will build and maintain scalable cloud systems, improve CI/CD processes, automate deployments, and support engineering teams.

Design, develop and maintain ETL pipelines using Spark, Hadoop and related frameworks while collaborating with stakeholders to ensure data quality.

This role involves designing, deploying, and managing cloud infrastructure using Terraform, setting up CI/CD pipelines with GitHub Actions, and configuring Databricks workspaces on AWS.

The Systems Engineer will manage and support technology infrastructure, including servers, networking, and applications, focusing on automation and cloud services.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

Lead Developers oversee software delivery, champion best practices, collaborate with clients, and mentor teams while ensuring technical excellence.

Lead Developers act as primary client contacts, ensuring project success through strategic collaboration, agile methodologies, and high-quality software delivery using various technologies including AI solutions.

Senior developers lead and mentor teams while delivering software solutions. They advocate for best practices and collaborate to solve business problems using innovative technology.

The Software Engineering Intern will assist in software development, testing, coding, and debugging while gaining hands-on experience through projects and collaborations across departments.

The Senior Site Reliability Engineer role involves developing high-performance cloud services, collaborating with stakeholders, enhancing architecture, and automating incident response while participating in on-call support.

Develop and maintain frontend and backend applications, analyze requirements, mentor juniors, and ensure high standards in software delivery.

Manage cloud infrastructure and DevOps practices, oversee operations, lead cloud projects, and mentor teams to enhance efficiency and security compliance.

Manage cloud infrastructure, automate deployment pipelines, ensure system reliability, and support development teams with scalable applications, leading DevOps initiatives and team mentorship.

The Software Engineer will enhance localization capabilities, develop automation tools, improve workflows, and support localization processes for Autodesk products.

Design and implement scalable ETL pipelines using AWS and Python, optimize data solutions, and ensure data quality and compliance.

Seeking a Site Reliability Engineer with 5+ years experience in Java and Python, DevOps, and CI/CD integration, focusing on system security and performance.

The role involves leading product delivery, managing platform operations, ensuring security, and overseeing observability for crypto-related products. It requires significant experience in software and platform roles, especially in AWS and related technologies.

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.