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Cornell University

Quality Assurance Developer II, Business Applications

Cornell University

. Collaborate with Business Analysts, Functional Analysts, developers, Project Managers, and business users to understand business processes, requirements, and testing needs .

Posted 11/10/2026full-timeRemote • New York • United StatesMid-LevelSenior💰 $123,200 - $139,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in automated functional, regression, integration, and performance testing using Python and relevant tools. Proficient in collaborating with cross-functional teams to ensure quality assurance throughout the software development lifecycle.

Highest-signal resume keywords
Automated TestingPython DevelopmentPerformance TestingSelenium Web AutomationAPI Testing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Automated TestingPerformance TestingRegression TestingIntegration TestingEnd-to-End TestingPython DevelopmentSQLGitCI/CD ConceptsTroubleshooting
Soft Skills
Analytical SkillsProblem-SolvingAttention to DetailCommunication SkillsCollaboration
Tools & Technologies
PlaywrightSeleniumWorksoftTricentis ToscaUFTJMeterLocustNeoLoadAI-Assisted Testing ToolsGenerative AI
Industry Keywords
Software Quality AssuranceTest AutomationApplication TestingEnterprise ApplicationsWorkdaySAPSalesforceERPCRMLarge Scale Business Systems

Tech Stack

Tools & technologies
ERPJMeterPythonSeleniumSQL

About the role

Key responsibilities & impact
  • Collaborate with Business Analysts, Functional Analysts, developers, Project Managers, and business users to understand business processes, requirements, and testing needs
  • Design, develop, maintain, and execute automated functional, regression, integration, and end-to-end tests
  • Develop and maintain automation scripts and testing utilities using Python and other applicable programming or scripting languages
  • Develop and execute performance and load tests and analyze results to identify application performance issues and bottlenecks
  • Review requirements, test plans, test cases, and test results; identify and document defects and work with business and technical teams through resolution
  • Participate throughout the software development lifecycle, including requirements, design, testing, implementation, and production-readiness discussions
  • Coordinate offshore testing and automation activities, review assigned deliverables, and communicate progress, risks, and issues to the Testing Manager and project teams
  • Monitor emerging testing technologies, including AI/ML, Generative AI, LLMs, and AI-assisted automation tools, and identify opportunities to improve testing efficiency

Requirements

What you’ll need
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Information Systems or related field
  • Approximately 3–5 years of related professional experience in software quality assurance, test automation, application testing, or related technology roles
  • Experience with performance/load testing tools and familiarity with API testing, REST services, SQL, Git, and CI/CD concepts
  • Strong hands-on experience with Playwright, Selenium, or comparable web automation technologies
  • Good working knowledge of Python and ability to develop, maintain, and troubleshoot automated test scripts
  • Strong understanding of functional, regression, integration, end-to-end, and automated testing methodologies
  • Strong analytical, troubleshooting, problem-solving, and attention-to-detail skills
  • Excellent verbal and written communication skills
  • Ability to understand and clarify business requirements, communicate defects and test results clearly, manage multiple assignments, work independently, and collaborate with onsite and offshore teams
  • Experience with enterprise applications such as Workday, SAP, Salesforce, ERP, CRM, HR, financial, or other large-scale business systems is preferred
  • Experience with Worksoft, Tricentis Tosca, UFT, JMeter, Locust, NeoLoad, or comparable technologies is desirable
  • Exposure to Artificial Intelligence, Machine Learning, Generative AI, Large Language Models, and AI-assisted testing technologies is desirable
  • No specific license or certification is required