Software Development Engineer in Test

Test Automation

• Develop and maintain automated test scripts using tools like Selenium, Appium, Ready API
• Develop the automation framework using Java, Javascript & Python
• Build reusable components and frameworks for scalable automation.
• Integrate automated tests into CI/CD pipelines for continuous validation.
• Maintain test data and environments for consistent execution.
• Write integration, and end-to-end tests for APIs, services, and UI.
• Perform performance, security, and reliability testing using tools like K6, JMeter
• Contribute to code reviews and ensure testability in design.
• Perform code reviews and contribute to best practices in test automation
• Develop utilities and tools to support testing and quality engineering

Functional Testing

• Understand and analyze business and technical requirements.
• Design comprehensive test cases covering functional, integration, and edge scenarios.
• Collaborate with product owners and developers to clarify acceptance criteria.
• Execute manual test cases for UI, API, and workflows.
• Perform regression, smoke, and exploratory testing.
• Log and track defects using tools like Rally, ALM
• Validate data integrity and user experience across platforms.
• Analyze test results, identify root causes of failures, and work with teams to resolve issues.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 1 to 4 years of years of experience in software development and test automation.
• Proficiency in programming languages such as Java, Python, or JavaScript.
• Experience with test automation tools like Selenium, Cypress, Playwright, JUnit, TestNG, or similar.
• Strong understanding of RESTful APIs and tools like Postman or REST Assured.
• Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Experience with performance testing tools (e.g.,K6, JMeter, LoadRunner) is a plus.
• Experience in building AI workflows using frameworks such as LangChain, Hugging Face, or similar platforms.
• Familiarity with AI model integration, prompt engineering, and workflow orchestration preferred.
• Knowledge of Agile/Scrum methodologies.

Preferred Skills:

• Experience with cloud platforms (AWS, Azure, GCP).
• Knowledge of containerization (Docker, Kubernetes).
• Exposure to mobile testing frameworks (Appium, Espresso).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities