Systems Test Internship: Automation QA for Software & Apps

Canfield Scientific, Inc.

New Jersey

On-site

USD 23,000 - 32,000

Part time

36 hours ago
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Job summary

Canfield Imaging Systems, a division of Canfield Scientific, Inc., invites BS/MS students in CS/EE/CE to join as a Software Engineering/Development: Systems Test Internship in New Jersey. You will work on automated testing across desktop, web and mobile applications, under senior guidance.

You’ll learn test planning, scripting, and defect verification while using Selenium, Appium and API testing tools, contributing to software quality in imaging hardware and software environments.

Qualifications

  • Currently pursuing BS/MS in Computer Science, Electrical or Computer Engineering.
  • Experience with automated testing and software quality is desirable.
  • Familiarity with desktop, web and mobile testing approaches.

Responsibilities

  • Assist in developing and maintaining tests for desktop, web and mobile applications
  • Execute manual and automated tests
  • Identify, report, track and verify software defects
  • Collaborate with QA engineers and developers on test plan and test script creations
  • Contribute to issue isolation and issue reproduction across releases and environments
  • Solve challenging problems while applying best practices in test automation and software quality

Skills

C#
Python
Java
C/C++
Automation testing
SQL
HTTP/REST/JSON
GitHub
Jenkins

Education

BS/MS student in Computer Science/ Electrical or Computer Engineering

Tools

Selenium
Ranorex
Squish
Appium
Postman

Job description

Canfield Imaging Systems, a division of Canfield Scientific, Inc., invites BS/MS students in CS/EE/CE to join as a Software Engineering/Development: Systems Test Internship in New Jersey. You will work on automated testing across desktop, web and mobile applications, under senior guidance.

You’ll learn test planning, scripting, and defect verification while using Selenium, Appium and API testing tools, contributing to software quality in imaging hardware and software environments.

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