About the role#
As an intern on the Cloud, Infrastructure & Platform Engineering team, you will contribute to the foundations that make AI and agentic solutions reliable, secure, observable, and scalable. You will work with platform engineers to turn AI platform concepts into tested infrastructure patterns, automation, and operational documentation.
What you'll do#
- Learn the current AI platform architecture, infrastructure standards, security expectations, and engineering workflows.
- Partner with cloud, platform, DevOps, SRE, and AI engineering stakeholders to define a clear problem and measurable acceptance criteria.
- Build and test a focused, production-minded infrastructure or automation proof of concept in a controlled non-production environment using infrastructure-as-code, version control, code review, automated testing, and secure configuration practices.
- Instrument your solution with logs, metrics, traces, or dashboards to show how health, reliability, usage, performance, or cost behavior is measured.
- Evaluate reliability, scalability, operational cost, supportability, failure handling, and recovery tradeoffs.
- Document findings through setup guidance, runbooks, architecture diagrams, test evidence, and a handoff package.
- Present the project outcome, evidence, lessons learned, and recommended next steps at the internship culmination.
What you'll need#
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Computer Engineering, Information Systems, Data Science, Applied Mathematics, or a related technical field.
- Graduation date in 2027 or 2028.
- Foundational programming or scripting experience in Python, Java, Go, JavaScript/TypeScript, Bash, or a comparable language.
- Basic understanding of Linux, networking, APIs, Git, cloud computing, containers, or CI/CD concepts.
- Exposure to one or more cloud platforms, infrastructure-as-code or CI/CD tools, containers, observability concepts, secure software development, or AI/ML platform technologies.
- Ability to break down problems, learn unfamiliar technology, document work clearly, and communicate with technical and non-technical audiences.
- Interest in AI infrastructure, platform engineering, cloud engineering, DevOps, SRE, developer experience, or distributed systems.
Location & details#
- This is a remote, full-time, paid internship.
- Program dates: June 14 - August 20, 2027.
- Work schedule: 9-5PM, Pacific Standard Time.
- You must permanently reside and work in the U.S.
- You must be open to relocating to the San Francisco Bay Area upon graduation for consideration for full-time hybrid positions.
About SEPHORA
Sephora is a global beauty retailer founded in 1969. It carries over 500 brands alongside its own label, Sephora Collection, across categories like skincare, makeup, and fragrance. The company operates 3,200 stores and 20 offices across 35 markets. It employs approximately 51,700 people.
How to get in at SEPHORA
Applying to Sephora early provides a distinct advantage, as recruiters often review the initial batch of candidates before the applicant pool becomes unmanageable. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first and get seen before the pile grows. You can also improve your chances by connecting with the people actually hiring for the team. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral, which materially improves response rates.
