
Data Solutions & Automation Intern - Undergraduate
About the Team
At Sony Interactive Entertainment (SIE), data is a vital asset that fuels decision-making, powers immersive PlayStation experiences, and drives innovation across our products and services. The Platform Data Solutions team delivers scalable data solutions and infrastructure that support mission-critical services across SIE.
About the Role
We are seeking a Data Solutions & Automation Intern to join our team for the summer. In this role, you will gain hands-on experience with cloud automation, infrastructure-as-code, and site reliability engineering practices. You will work alongside experienced engineers to improve self-service capabilities, accelerate cloud provisioning, and strengthen reliability within our data solutioning ecosystem.
What You’ll Do
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Contribute to the design, implementation, and support of cloud automation and Site Reliability Engineering (SRE) initiatives
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Assist in developing and maintaining Infrastructure-as-Code (IaC) using tools such as Terraform
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Collaborate with cross-functional teams to improve developer onboarding and infrastructure self-service workflows
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Support operational excellence efforts, including system reliability, scalability, and observability improvements
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Explore the use of AI-assisted development tools to enhance productivity, testing, and automation
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Document processes, design decisions, and onboarding guides to drive broader adoption across the team
What You’ll Learn
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Hands-on experience with cloud automation and infrastructure-as-code practices
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How to use Terraform to configure, provision, and manage cloud infrastructure
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Best practices in site reliability engineering and operational excellence
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Exposure to cloud-native design principles across AWS, GCP, and Azure
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The potential of AI-assisted tools in development, testing, and automation workflows
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Collaboration in a cross-functional engineering environment with direct mentorship
What We’re Looking For
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Current enrollment in an accredited university Bachelor’s program in Computer Science, Data Engineering, Information Systems, or related field, with graduation expected between December 2026 and Spring 2027.
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Passion for cloud automation, DevOps, and infrastructure-as-code practices
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Familiarity with Terraform for managing cloud infrastructure (configuration, provisioning, lifecycle management)
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Exposure to Go (Golang) programming and modular, domain-driven design concepts
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Interest in leveraging AI-assisted tools for coding, testing, and automation
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Basic understanding of cloud environments (AWS, GCP, Azure) and cloud-native application design
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Self-starter with strong problem-solving skills, effective communication, and eagerness to learn
Eligibility
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Students with expected graduation between December 2026 and Spring 2027 from an accredited university. Undergraduate
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Able to work during one of the following periods: May 18th - August 7th or June 15th - September 4th. Relocation assistance is available for eligible candidates.
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Must be available for the entire 12-week internship period.
At this time, SIE will only consider applicants who are authorized to work for any employer in the United States and who will not require work visa sponsorship from SIE now or in the future to maintain their authorization to work in the United States.
Our intern positions offer a fixed hourly pay rate. Please note that the pay rate is exclusive to the internship period and may not reflect what pay may look like following the completion of an internship.
Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights.
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
Intern Pay Range
$41.50 - $50 USD
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