Quality Engineer; AI & Test Automation

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.

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.

• 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 Git Hub 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.

• 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, Git Lab, Git Hub 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…