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Information Technology 🏢 Internship ⭐️ Verified

Summer/Fall Software Engineering Intern

InnovateTech Solutions
Philadelphia
Estimated Salary
USD 20 – USD 28
New
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Join InnovateTech Solutions' award-winning engineering team and transform your academic knowledge into real-world impact! We're seeking passionate Software Engineering Interns for our Philadelphia office to contribute to cutting-edge projects in cloud infrastructure and AI-driven applications. This is your chance to work alongside industry leaders, mentor with senior engineers, and build solutions used by millions. Our paid internship includes flexible scheduling (15-25 hrs/week), professional development workshops, and potential conversion to full-time roles. Enjoy our collaborative culture, modern workspace in Center City, and competitive benefits including free transit passes and wellness stipends. Start your tech career with purpose this summer or fall!

Responsibilities

  • Design, develop, and test scalable microservices using Python, Go, and Java
  • Optimize cloud infrastructure on AWS/GCP for 99.99% uptime SLAs
  • Implement machine learning pipelines for data analytics projects
  • Collaborate via Agile methodologies using Jira and Git
  • Conduct code reviews and documentation of technical specifications
  • Debug and resolve production issues with senior mentorship
  • Participate in hackathons and innovation sprints

Qualifications

  • Pursuing BS/MS in Computer Science, Engineering, or related field
  • Strong proficiency in at least one programming language (Python/Java/Go)
  • Experience with cloud platforms (AWS/GCP) or containerization (Docker/K8s)
  • Familiarity with SQL databases and RESTful APIs
  • Understanding of Agile development methodologies
  • Excellent problem-solving and communication skills
  • Authorization to work in the US without sponsorship
  • Availability for 15-25 hours/week through December 2023

Required Skills

Python Java Go AWS GCP Docker Kubernetes SQL REST APIs Agile Machine Learning

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