AI-Driven Quality Engineer & Test Automation

Cognizant

Topeka (KS)

On-site

USD 59,000 - 72,000

Full time

14 days+
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Benefits offered by this job

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

Job summary

Cognizant, a leading tech solutions company, is hiring a Quality Engineer to advance AI-driven testing across mission-critical applications. You will design, build, and maintain automation frameworks in Java and Python, collaborating with product and engineering teams to ensure robust test coverage and high-quality releases.

In this role you will test AI-powered systems, including chatbots, and apply CI/CD practices.

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.
  • 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.

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.

Skills

Java
Python
API testing
SQL
CI/CD
JIRA
GitHub Actions
AI testing

Education

BS in CS/Engineering

Tools

Postman
Rest Assured
Swagger
Jenkins
GitLab

Job description

Cognizant, a leading tech solutions company, is hiring a Quality Engineer to advance AI-driven testing across mission-critical applications. You will design, build, and maintain automation frameworks in Java and Python, collaborating with product and engineering teams to ensure robust test coverage and high-quality releases.

In this role you will test AI-powered systems, including chatbots, and apply CI/CD practices.

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