Commissioning Program Analyst Intern, Data Center Capacity Delivery APJC

Amazon is hiring a Commissioning Program Analyst Intern, Data Center Capacity Delivery APJC in Singapore, Singapore. Level rates it ; you can apply on Level.

Level's read on this job

Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions Bedrock, Python and SQL among its tools and skills.
Level classes it as an internship.
Amazon has 22,000+ other open roles on Level.
This posting went up within the past week.

AI in this role

Builds data pipelines and automation infrastructure to support analytics and machine learning initiatives as an AWS intern.

bedrockpythonsqlaws

data-pipelinesautomationanalyticsinfrastructurerisk-management

*Internship period: 4 Jan 2027 – 30 June 2027. This period may be adjusted depending on business circumstances.

Would you like to be part of our AWS Internship Program, helping us to drive growth and shape the future of Amazon Web Services?
Are you interested in the exciting opportunity to work with an emerging technology, establishing Amazon as a key technology platform provider?
Do you want to grow and build your skills, developing your business acumen and technical knowledge?

Cloud Computing is revolutionizing Information Technology. Since 2006, AWS has provided companies of all sizes with an infrastructure web services platform in the cloud. On this AWS Internship Program we will give you the chance to take on unique projects, enabling you to impact with the skills and knowledge we help you develop, and encourage you to build and innovate. Alongside this you will be a supported member of our internship community, and have access to mentoring, coaching and other learning opportunities.

Key job responsibilities
* Pipeline & Infrastructure Engineering: Design, setup, and maintain secure, tested automation and data pipelines to establish the infrastructure backbone for analytics and machine learning (including validation and robust error handling).
* System & Process Optimization: Continuously review, optimize, and assess existing automation infrastructure to recommend and implement scalable, long-term infrastructure improvements.
* Analytics, Dashboards & Reporting: Develop actionable dashboards and simplified reporting tools for peers and leadership, translating complex data into business insights that drive better outcomes.
* Cross-Functional Influence & Risk Management: Partner with global internal customers to manage project risks (safety, quality, time, and cost) and use data-driven insights to challenge bottlenecks and advocate for strategic improvements.
* Maintainable Solutions & Coding Governance: Collaborate with peers to deliver high-quality projects/programs that reduces time to complete operational demands and increases consistency of operational outputs, while documenting and maintaining technical materials and code standards.

A day in the life
You will build the infrastructure backbone to establish data pipelines for analytics and machine learning. You will use data and anecdotes, connect the dots to influence improvement strategies, tactically drive internal customers to manage project risks (safety, quality, time and cost) globally. You will use your knowledge and experience to develop dashboards. You will apply business acumens to develop actionable insights and simplifying reporting to peers and the leadership to drive better business outcomes. You will exercise strong backbone to tell the business what is slowing us down backed with data. You will partner peers to develop solutions that enable the business to be agile and adaptable to deliver high quality builds with consistency.

About the team
The AWS Data Center Capacity Delivery Commissioning Team (DCCD Cx) is an independent critical infrastructure validations team within the Data Centre Capacity Delivery (DCCD) organization. This team of professional Electrical Engineers, Mechanical Engineers, Controls Engineers, Project Managers, Operators, Analysts and seasoned Amazonians are uniquely positioned to provide deeply detailed engineering and operational review and testing of equipment designs, operational functionality and construction practices. We are focused on ensuring the rapid delivery of a quality product while maintaining full transparency, recording metrics of manufacturer/contractor/equipment issues in new builds and upgrade projects, whilst identifying opportunities for all our peers and customers.

#auta-sg #auta-asean

Basic qualifications

- Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Information Systems, or related STEM fields
- Expected to graduate Dec 2027 or 2028
- Candidates must be able to legally work in Singapore.
- Candidates must be able to commit full time internship
- Excellent written and verbal English communication skills.

Preferred qualifications

Preferred:
- Experience in AWS Infrastructure (worked on S3, EC2, Bedrock)
- Experience in Python, Golang languages
- Industry related knowledge/experience on how Production/Live code is managed and released (canary deployment/rollback etc)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Commissioning Program Analyst Intern, Data Center Capacity Delivery APJC at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Commissioning Program Analyst Intern, Data Center Capacity Delivery APJC is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in SG, Singapore.
The job was posted on October 13, 2026.
Seniority: intern.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data PipelinesAutomationAnalyticsInfrastructureRisk ManagementBedrockPythonSQL

Questions you could be asked

Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?
Tell me about a project where analytics was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where risk management was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Data Pipelines, Automation, Analytics, Infrastructure, and Risk Management. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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