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Cyber + AI Intern

Rackspace  ·  United States, San Antonio, TX
Hybrid Full-time Entry Security

Job Description

What you’ll work on

This role is about building and improving how security operates. You’ll apply AI and automation to real problems across both engineering and operations-reducing manual work, improving detection, and helping teams move faster.

  • Build tools and scripts to automate security tasks across engineering and SOC workflows

  • Prototype AI-driven use cases (alert triage, enrichment, investigation support, automation)

  • Support security event analysis, including triaging alerts and investigating patterns

  • Identify opportunities to reduce noise, improve detection quality, and streamline operations

  • Work with engineers to integrate AI into existing security systems and processes

  • Contribute to improving SOC playbooks, workflows, and standard operating procedures

  • Assist with designing scalable, AI-enabled security solutions across the environment

  • Experience with APIs, scripting, or automation (Python, PowerShell, etc.)

  • Exposure to LLMs, agents, or AI tooling (OpenAI, Anthropic, etc.)

  • Familiarity with SIEM or security tools (Splunk, Sentinel, EDR, etc.)

  • Exposure to cloud environments (AWS, Azure, GCP)

  • Experience with labs, CTFs, or hands-on security projects

Apply Now

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Benefits

  • You build something that reduces manual work or improves efficiency
  • You help reduce noise and improve signal in the SOC
  • You automate at least one workflow used by the team
  • You prototype ideas that can be expanded into real capabilities
  • You ask good questions and bring new ways of thinking to the team

Requirements

  • A Senior or Grad Student who is currently enrolled at a university or college pursuing a bachelors or masters degree in Cybersecurity, Computer Science, AI/ML, or similar
  • Availability to work Monday through Friday between the hours of 8am and 5pm CDT
  • Hybrid schedule, 2 days a week in office at our Global HQ at 281 N/Redland Road
  • Comfortable writing code (Python preferred)
  • Basic understanding of security fundamentals (networking, endpoints, identity)
  • Familiarity with logs, alerts, or monitoring concepts
  • Interest in applying AI to real-world problems, not just theory
  • Strong problem-solving mindset and ability to turn ideas into working solutions