AI Operations Engineer Intern — Automate & Scale AI Production

Cisco Systems, Inc

San Jose, Northern (CA, KY)

Hybrid

USD 44,000 - 185,000

Full time

3 days ago
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Job summary

Cisco Systems, Inc is seeking undergraduates for its Product Internship Program, a 12-week summer experience embedded in high-impact teams. You'll work with AI Ops to automate IT operations, build automation, and contribute to scalable production environments.

You will gain hands-on exposure to AWS, Kubernetes, and CI/CD practices, while collaborating across disciplines and presenting learnings to leaders. This internship is designed to develop technical skills, confidence, and a collaborative

Qualifications

  • Currently enrolled in an undergraduate degree program (Associate's or Bachelor's).
  • Education should be in Computer Science, Electrical Engineering, Data Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Software Engineering, or related field.
  • Expected to continue enrollment in degree program after completion of the internship.
  • Proficiency in scripting languages such as Python or Bash demonstrated via coding challenge, automation scripts, or workflow samples.
  • Working knowledge of systems or network administration fundamentals (Linux, monitoring, incident response).

Responsibilities

  • Dive into AI Ops to automate IT operations and deliver impactful results.
  • Build smart solutions to cut down repetitive tasks and speed up incident response.
  • Support scalable, resilient AI production environments and cloud-based workflows.

Skills

Python scripting
Bash scripting
Linux basics
Networking basics

Education

Undergraduate degree in CS/EE/Data Science

Tools

GitHub Actions
Kubernetes
AWS

Job description

Cisco Systems, Inc is seeking undergraduates for its Product Internship Program, a 12-week summer experience embedded in high-impact teams. You'll work with AI Ops to automate IT operations, build automation, and contribute to scalable production environments.

You will gain hands-on exposure to AWS, Kubernetes, and CI/CD practices, while collaborating across disciplines and presenting learnings to leaders. This internship is designed to develop technical skills, confidence, and a collaborative

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