Full Time

Quality Engineer (AI & Test Automation) - Cognizant - Chicago, IL

Cognizant

Chicago, IL
Posted 16 days ago

**About Cognizant's Quality Engineering & Assurance Team**

Our Quality Engineering & Assurance team is the innovative engine at our company. We are a dedicated group of builders and problem-solvers responsible for the most critical, customer-facing platforms. Within this team, the Quality practice is not a downstream function but a fully integrated partner in development. Our mission is to embed quality into every stage of the lifecycle, and as a Quality Engineer, you will be on the front lines of this effort.
• *Position Overview**

Are you a driven Quality Engineer passionate about building the future of testing? We are seeking a creative and hands-on QE to be a key contributor to our quality practice. This is an exciting opportunity to move beyond traditional QA and dive into the world of AI-driven testing, helping us build and maintain robust quality standards for our mission-critical intelligent applications that are redefining customer interaction.
• *Key Responsibilities**

+ 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 understa