Top AWS Jobs in Singapore

Responsible for designing and overseeing data architecture, leading data engineers, and implementing enterprise-level data solutions in a cloud environment.

Develop and maintain highly-scalable backends for a sports betting platform. Collaborate with team on features, support production applications, and mentor juniors.

Responsible for ensuring quality through testing and automation in web and mobile platforms, involving all stages from development to launch.

Develop microservices for a top sports betting platform, ensuring stability and scalability to accommodate millions of users. Responsibilities include feature development, code reviews, and mentoring.

As a Frontend Engineer, you will develop mobile-first UIs in VueJS, enhance performance, mentor team members, and participate in code reviews and team ceremonies.

The Front End UI Developer will utilize Agile methodologies, demonstrate strong programming skills in JavaScript and related frameworks, and work with various front-end and back-end technologies to develop applications.

The Senior ETL Developer will manage ETL processes, validate data flows, develop data warehouse models, and document technical specifications.

The Front End UI Developer will leverage modern JavaScript frameworks, HTML5, CSS, and React technologies to build and enhance web applications, with experience in back-end Java and AWS.

The Sr Big Data Engineer will develop data pipelines using big data technologies, manage projects, and implement data modeling for analysis while ensuring efficient querying and performance.

As a Sales Engineer, you will act as a technical expert, assisting the Sales team by advising clients, troubleshooting issues, and enhancing the Smadex platform’s capabilities.

Lead and scale a world-class AI/ML professional services team, developing relationships with APJ customers while managing key accounts and strategic initiatives.

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

As a Systems Engineer Intern, support cloud infrastructure design, automation, and compliance, collaborate with teams to troubleshoot and enhance operations.

The Data Engineer is responsible for designing and maintaining scalable data systems, building data pipelines, and collaborating with teams to support analytics and AI use cases.

The Senior Backend Software Engineer will optimize performance and reliability of systems, design architecture, enforce code quality, and mentor junior engineers, all in a collaborative team environment.

The Data Reliability Engineer will maintain and optimize data infrastructure, debug ETL processes, and collaborate with teams on data workflows. Requires experience in large-scale data systems and monitoring tools.

Develop scalable backend systems, mentor team members, participate in code reviews, and collaborate with Product Owners to enhance features.

Lead the development of mobile apps and services, collaborate with cross-functional teams, and ensure effective project execution while managing priorities and deliverables.

The Forward Deployed Engineer will design and implement AI systems, collaborating with clients to address their data challenges and enhance enterprise solutions through advanced AI technologies.

Join Razer as a Data Engineer to build data infrastructure for AI and machine learning, focusing on optimization, data pipelines, and collaboration with teams for AI-driven initiatives.

The IT Infrastructure Engineer oversees ICT infrastructure operations, manages contractors, ensures compliance, and coordinates procurement and project management activities.

Oversee ICT infrastructure operations, manage contractors, ensure compliance with policies, and handle IT infrastructure procurement and project management.

The AIOps Intern will gain experience in DataOps and MLOps, develop solutions, contribute to CI/CD workflows, and explore new tools.

Design and build AI-driven cybersecurity products, collaborate with stakeholders, mentor engineers, and enhance infrastructure efficiency.

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