SDET Intern
2 days ago
Noida, Uttar Pradesh, India
PayU Payments
Full-time
€3,00,000 - €5,00,000 Contract
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
SDET Intern – Test Automation
Join our innovative engineering team as an SDET Intern and gain hands-on experience building and executing automated tests for cutting-edge products that leverage Generative AI. This internship is ideal for students or recent graduates eager to apply their knowledge of Python, Java, and modern testing practices in a collaborative, fast-moving environment.
Responsibilities:
- Design, develop, and maintain automated test scripts using Python and Java.
- Collaborate with developers to understand new features and create corresponding test plans.
- Execute test suites, analyze results, and identify root causes of issues.
- Contribute to the continuous integration/continuous delivery (CI/CD) pipeline by integrating automated tests.
- Document test cases, results, and defects clearly and concisely.
- Participate in code reviews and provide feedback on testability and quality.
- Stay up to date on industry trends, particularly in Generative AI testing methodologies.
Requirements:
- Currently pursuing or recently completed a bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field.
- Solid understanding of object-oriented programming concepts with hands-on coursework or projects in Python and/or Java.
- Familiarity with software testing fundamentals, such as unit, integration, and functional testing.
- Ability to write clear, maintainable code and documentation.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
- Eagerness to learn, adapt, and collaborate within a team environment.
Nice to Have:
- Experience with test automation frameworks (e.g., PyTest, JUnit, TestNG).
- Exposure to Generative AI models or machine learning frameworks (e.g., TensorFlow, PyTorch).
- Knowledge of version control systems such as Git.
- Understanding of CI/CD tools (e.g., Jenkins, GitHub Actions).
- Familiarity with cloud platforms like AWS, Azure, or GCP.