GEN AI QA (New Jersey, U.S.)

Key Experiences:

• 9+ years of proven experience in the software development industry, participating in a team environment.
• 5+ years of experience in UI automation, such as Selenium WebDriver.
• 5+ years of proven experience in testing web services such as RESTful API.
• 3+ years of proven experience in performance testing using tools such as Apache JMeter.
• 2+ years of working in a cloud-based development and production environment such as AWS.
• 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#.
• Experience with testing AI/ML-powered applications, including validating model outputs, creating test datasets, evaluating model performance
• Proficient with both SQL and NoSQL databases.
• Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments.
• Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus.

Key Responsibilities:

• Design and execute functional and automation testing for applications. 
• Develop and execute automated test scripts using testing tools; document and summarize results. 
• Build, update, and maintain UI automation test cases using Selenium with C# (flexibility to learn C# if not already proficient). 
• Perform manual API testing using tools such as Postman or Insomnia. 
• Perform API automation testing using industry-standard frameworks and tools. 
• Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives). 
• Collaborate closely with Development and Business teams to ensure project success. 
• Quickly adapt to new technologies and tools (e.g., Amazon Web Services). 
• Work with SQL and NoSQL databases for backend validation and robust data testing. 
• Create comprehensive end-to-end test plans, test specifications, and test case templates. 
• Develop and document detailed test plans and test cases. 
• Facilitate defect tracking, reporting, and resolution management. 
• Review requirements (Functional Specifications, User Stories, Change Requests) to ensure full coverage. 
• Identify and manage test data; prepare automation-ready test cases. 
• Conduct system testing, regression testing, and support User Acceptance Testing (UAT). 
• Apply test case design techniques (e.g., boundary value analysis, equivalence partitioning). 
• Implement Shift Left Testing practices by participating in early requirement and design reviews, writing acceptance criteria up front, and integrating automated tests in CI/CD pipelines.
• Be actively involved in the deployment process, collaborating with DevOps and engineering teams to ensure smooth releases. 

Nice to Have:

• Experience with application monitoring tools (e.g., New Relic, Datadog, CloudWatch). 
• Working knowledge of Python for scripting and automation. 
• Familiarity with AWS services for cloud-based testing and deployment. 
• Hands-on experience with performance and load testing using JMeter