Cognizant is seeking a passionate Quality Engineer to join their Quality Engineering and Assurance team. The role involves designing and maintaining test automation frameworks, performing API and database testing, and ensuring quality for AI-powered applications.
Design, develop, and maintain test automation frameworks using Java and Python. Write clean, efficient, and scalable automation scripts for new features to ensure robust test coverage across all deliverables
Perform API testing: Understand API concepts, develop and execute functional tests, interpret Swagger YAML files, and validate endpoints using Postman or Rest Assured automation frameworks
Conduct database testing: Write and execute SQL queries to retrieve, update, and delete data, ensuring database integrity and reliability
Own quality for assigned features and components: Collaborate with product managers and developers on requirements analysis, create detailed test cases, execute comprehensive test suites (functional, integration, regression), and provide final quality sign-off
Track and report testing progress: Use tools such as JIRA, ADO, or ALM for defect logging and reporting, ensuring transparency of feature quality to the team and stakeholders. Also understanding of CI/CD concepts
Implement and execute test plans for AI/ML applications: Support QA activities and certify the quality of AI-powered systems, including hands-on testing of chatbots for intent recognition, conversational flow, response accuracy, and edge case handling
Leverage modern AI tools to enhance workflow: Utilize AI code assistants like GitHub Copilot to accelerate test script development and explore generative AI for tasks such as test data creation and bug report summarization
Ensure AI reliability and fairness: Execute test cases to identify issues related to bias, fairness, and model robustness, contributing to the overall trustworthiness of AI systems
Develop and maintain test automation scripts and frameworks using Java and Python
Have proficiency with test and defect management tools, particularly JIRA or any similar tools
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
0 – 1 years of professional experience in a Quality Assurance or Quality Engineering role
Some hands-on experience developing and maintaining test automation scripts and frameworks using Java and Python
Basic understanding of the Software Testing Life Cycle (STLC) and practical experience working in an Agile/Scrum environment
A keen interest in or prior experience testing AI-powered applications, such as chatbots or other AI/ML-based systems
Hands-on experience with the Hybrid Automation frameworks
Familiarity with CI/CD concepts and tools (e.g., Jenkins, GitLab, GitHub Actions)
Exposure to performance testing tools (e.g., JMeter, Gatling)
Basic knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker)
A passion for learning and staying up to date with the latest trends in AI and software testing
Preferred
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Cognizant is a professional services company that helps clients alter their business, operating, and technology models for the digital era.
