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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 fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesERPJMeterPythonSeleniumSQL
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