The Auto Tester will be responsible for automating test cases, creating test scripts, and ensuring the overall quality of software applications, with an emphasis on Big Data Analytics, AI/ML, Bedrock, and Robotic Process Automation (RPA). The role will leverage Behavior-Driven Development (BDD) principles, integrate AI-driven testing tools, and use Big Data for large-scale test data generation and analysis. Additionally, Bedrock will be used for AI-powered testing models and automation. An Auto Tester focuses on test automation, leveraging AI/ML models, RPA, BDD frameworks, and Big Data technologies to ensure the quality and performance of cloud-based solutions and software products.
AI-Powered Test Automation & Strategy:
- Define test automation strategy, incorporating AI/ML models for intelligent test generation, defect prediction, and automation using tools like Claude and GenAI.
- Utilize Big Data Analytics to analyze application logs and system behavior at scale, and optimize testing workflows across large datasets.
- Integrate Bedrock and other AWS AI services for real-time test data analysis, automation, and model-based decision-making during testing processes.
Big Data Integration for Testing:
- Leverage Big Data technologies (e.g., Hadoop, Spark) to handle massive datasets and integrate them into the test automation pipeline.
- Use AI and ML models to analyze data patterns and predict potential failure points in complex, large-scale systems, creating test cases for untested scenarios.
BDD for Testing:
- Implement BDD frameworks (e.g., Cucumber, Gherkin) to ensure automated tests are easily understood by both technical and non-technical teams.
- Translate business requirements and user stories into automated test scripts using NLP and BDD principles, promoting collaboration and continuous feedback.
AI-Driven Test Maintenance & Optimization:
- Continuously optimize test cases by leveraging ML/DL to identify redundant tests, simulate complex scenarios, and adjust test suites in real-time based on application updates.
- Use Agentic AI to dynamically adjust test scripts based on real-time application behavior, ensuring tests remain relevant and robust.
Collaboration & Reporting:
- Integrate AI-based testing tools within CI/CD pipelines to enable continuous testing, utilizing Bedrock for advanced model execution and report generation.
- Provide detailed insights and AI-generated test reports to stakeholders, identifying key areas for improvement and prioritizing tests based on AI-driven analysis.
RPA for Test Process Automation:
- Automate repetitive manual testing tasks, including test execution and defect reporting, using RPA tools to free up resources for more complex tasks.
- Integrate RPA solutions with AI/ML models for intelligent defect detection and automated remediation.
- Bachelor’s/Master’s in Computer Science, Engineering, or a related field.
- 5+ years of experience in test automation, including knowledge of Big Data Analytics and AI/ML testing tools.
- Hands-on experience with BDD frameworks (Cucumber, SpecFlow), RPA tools (e.g., UiPath), and Big Data tools (e.g., Hadoop, Spark).
- Familiarity with AWS Bedrock for AI integration in testing.
Technical Expertise:
- Proficiency in test automation frameworks (Selenium, Appium) and BDD principles.
- Experience working with Big Data platforms (e.g., Hadoop, Spark, AWS Redshift) for automated test data generation.
- Familiarity with GenAI, Claude, and Agentic AI tools for test case generation and defect prediction.
- Knowledge of AI-driven testing models, RPA solutions, and their integration into CI/CD pipelines.
- Experience with cloud platforms (e.g., AWS, Azure) and Bedrock for AI-driven automation.
Skillset:
- Strong problem-solving skills to apply AI/ML models for test optimization and automation.
- Excellent communication skills to translate business requirements into automated test scripts.
- Experience with Big Data tools to scale and manage testing for large applications.
- Ability to design and implement AI-powered test automation frameworks, utilizing RPA and Cloud services.
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