Program Manager Intern, APAC Data Center Delivery Operations
Pubblicato il 08-09-2026 - Amazon in Udine
Program Manager Intern, APAC Data Center Delivery Operations
Job ID: 10529692 | Amazon Web Services Singapore Private Limited
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.
And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon is looking for a talented, customer-obsessed Program Manager Intern to be based in Singapore to help shape the future of our Data Centers. This team focuses on driving operational excellence, process improvements and optimization for our infra program managers.
As a Delivery Ops PM Intern, you will drive process improvement initiatives such as mechanism reviews, building reporting/dashboards and drafting project proposals to optimize our core tools/systems including engaging with our customers to understand their painpoints.
Key job responsibilities
- Assist in project management data validation and data clean up across a large volume of critical infrastructure projects in the system of record
- Gather business and functional requirements and translate the gathered requirements into robust, scalable, operable solutions that work well within the overall data archi