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Information Technology 🏢 Internship ⭐️ Verified

Summer Night Shift Intern - Paid

TechNova Solutions
Washington DC
Estimated Salary
USD 18 – USD 24
New
Live Update
17 Juli 2026
Deadline
17 Jul 2027

Job Description

Join TechNova Solutions for an immersive paid summer internship experience on our dynamic night shift team! This is a unique opportunity to gain hands-on experience in a fast-paced tech environment while developing critical professional skills. Our night shift interns work on cutting-edge projects alongside industry experts, contributing to real-world solutions that impact millions of users. Enjoy competitive compensation, flexible scheduling, and mentorship from senior leaders. This role is perfect for ambitious students seeking to build their resume while exploring Washington DC's vibrant tech scene.

Responsibilities

  • Support 24/7 system monitoring and incident response during night shift hours
  • Assist in data analysis and reporting for critical infrastructure projects
  • Collaborate with cross-functional teams to troubleshoot technical issues
  • Document processes and create operational guidelines for night shift protocols
  • Participate in sprint planning and stand-up meetings (adjusting for night shift schedule)
  • Shadow senior engineers during system deployments and maintenance windows
  • Contribute to innovation challenges focused on improving operational efficiency

Qualifications

  • Currently enrolled in a bachelor's or master's program (Computer Science, Engineering, or related field)
  • Availability to work full-time night shift (10 PM - 6 AM) for 10-12 weeks
  • Basic proficiency in Python, SQL, or JavaScript
  • Strong problem-solving skills and attention to detail
  • Ability to work independently and as part of a distributed team
  • Excellent written and verbal communication skills
  • US citizenship or valid work authorization required
  • Previous internship experience preferred but not required

Required Skills

Python SQL JavaScript System Monitoring Incident Response Data Analysis Troubleshooting Documentation

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