🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.
Cognizant • United States
Role & seniority: Quality Engineer (early-career; 0–1 year experience) within Cognizant’s Quality Engineering & Assurance team.
Stack/tools: Java, Python; API testing with Postman or Rest Assured; SQL for database testing; test management via JIRA/ADO/ALM; CI/CD concepts; AI/ML testing tools; basic cloud (AWS/Azure/GCP) and Docker; familiarity with JUnit, Hybrid Automation frameworks; AI tooling (e.g., GitHub Copilot).
Design, develop, and maintain test automation frameworks; write scalable automation scripts for new features.
Perform API, database, and functional/integration/regression testing; own quality for assigned features; collaborate on requirements and sign off.
Plan and execute AI/ML test activities (chatbots, intent recognition, edge cases); track progress and report defects; ensure fairness/robustness of AI systems.
BS/MS in CS/Engineering or related field (or equivalent experience).
Hands-on experience building/test automation scripts in Java and Python.
Understanding of STLC, Agile/Scrum; exposure to CI/CD; basic cloud/container knowledge; familiarity with JIRA/defect management.
Experience testing AI-powered applications; performance testing tools (JMeter, Gatling); AI-assisted testing workflows; experience with GitHub Copilot or generative AI for test data and bug summaries.
Location & work type: Plano, TX office; relocation required; full-time role starting Januar
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 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. Required Skills & Qualifications 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. Location New hires will be hired to the Cognizant office in Plano, TX, where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. Start Date New hires will start in January 2026. While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively.