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Gallup

Site Reliability Engineer Intern — Summer 2027

  • Confirmed live in the last 24 hours
  • $93.6k–$104k
  • Internship
  • On-site · San Francisco
  • Added 1 month ago

About this role

Gallup is seeking a Site Reliability Engineer Intern for Summer 2027 to help maintain and optimize the reliability of their global technology platform. You'll gain hands-on experience with observability tools, automation, and incident response while working alongside experienced engineers in San Francisco.

What you'll do

  • Build and improve observability using Dynatrace and PagerDuty to monitor AWS-hosted applications
  • Create dashboards, alerts, and metrics to provide real-time insights into application performance
  • Support automated alerting workflows integrated with Slack
  • Shadow and assist with incident response to learn detection, resolution, and prevention practices
  • Write scripts and automation to reduce repetitive operational tasks
  • Collaborate with site reliability engineers, DevOps engineers, and software developers

What they're looking for

  • AWS or cloud platform experience
  • Windows or Linux server administration
  • Python, Bash, or PowerShell scripting
  • Terraform or Docker containerization
  • GitHub version control
  • Monitoring tools (Dynatrace, Grafana, or PagerDuty)
  • Networking and infrastructure knowledge
  • Incident management fundamentals

Benefits

  • Hourly pay of $45–$50 per hour for full-time summer internship
  • Potential for 20 hours per week during the school year
  • Potential full-time job offer upon graduation
  • Hands-on learning in observability, automation, and incident response
  • Mentorship from experienced site reliability engineers
  • Access to San Francisco office in the Financial District with flexible Friday remote option
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Gallup

Industry
Professional Services & Consulting
Website
gallup.com
View all jobs at Gallup

Likely interview questions

  • Tell us about your experience with AWS or another cloud platform and what you built with it.
  • Describe a time you wrote a script or automation to solve a repetitive problem. What language did you use and what did it accomplish?