Hands-on Software Engineering Internship

Perpay - Career's Page

Philadelphia (Philadelphia County)

On-site

USD 28,000 - 48,000

Full time

14 days+

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Benefits offered by this job

Espresso bar
Full kitchen
Weekly catered lunches
Snacks & beverages
Riverfront office

Job summary

Perpay in Philadelphia is seeking an Onsite Software Engineering Intern to grow with us over a 10-12 week program. You’ll collaborate with your team to ship features, learn a product-minded approach, and demonstrate grit through challenging projects in a fast-paced fintech environment.

You’ll contribute to our codebase, test and release features, and partner with product, design, data science, analytics, operations, and other stakeholders.

Qualifications

  • Enrolled in or will receive a bachelor's or higher in CS/Math or related technical discipline with expected graduation between winter 2027 and summer 2028.
  • GPA of 3.0 or better.
  • Familiarity with our stack and ability to learn new tech quickly.
  • Strong fundamentals in software engineering and writing readable, testable code.

Responsibilities

  • Collaborate with your team to ship features.
  • Learn to approach work with a product mindset and grit.
  • Contribute to codebase, test and release features into production.
  • Coordinate with product, design, data science & analytics, operations and other stakeholders.
  • Develop skills for a fast-paced fintech startup environment.

Skills

CS/Math degree
GPA 3.0+
Knowledge of stack
Learning agility
Clean code

Education

Bachelor's or higher in CS/Math or related

Tools

Python
Django
Flask
JavaScript
React
Kubernetes
AWS
Docker

Job description

Perpay in Philadelphia is seeking an Onsite Software Engineering Intern to grow with us over a 10-12 week program. You’ll collaborate with your team to ship features, learn a product-minded approach, and demonstrate grit through challenging projects in a fast-paced fintech environment.

You’ll contribute to our codebase, test and release features, and partner with product, design, data science, analytics, operations, and other stakeholders.

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