| Automation Framework Development: Design develop and maintain modular |
| extensible and scalable test automation testcases from scratch using Java or |
| JavaScript. |
| AI/ML Model Validation: Create validation strategies for AI-driven products |
| LLM-integrated workflows and agents. |
| Cloud Testing & Infrastructure: Implement and execute automated tests in |
| cloud environments (AWS Azure or GCP). Use Docker and Kubernetes for |
| containerized testing environments. |
| CI/CD Integration: Embed automated test suites into CI/CD pipelines (Jenkins |
| GitHub Actions) to achieve continuous testing and rapid feedback. |
| API & Backend Testing: Design and execute RESTful API automation tests using |
| tools like Postman REST Assured. |
| Test Strategy & Planning: Participate in sprint planning and design reviews to |
| identify testing requirements and define scope strategy and test data |
| management. |
| Data Validation & Management: Perform data masking generation and |
| validation using SQL or NoSQL databases to support end-to-end testing. |
| Debugging & Analysis: Analyze test results using AI-powered tools or logs to |
| identify patterns root causes of failures and predict issues. |
| |
| Required Technical Skills: |
| Experience: 5 years in QA Automation Engineering. |
| Programming: Proficient in Java Python. |
| Automation Tools: Selenium WebDriver Playwright or Cypress. |
| Cloud Platforms: Practical expertise working with AWS and Azure. |
| AI/LLM Testing: Experience with model evaluation metrics RAG |
| (Retrieval-Augmented Generation) or prompt engineering validation. |
| API/Database: Strong API testing experience and SQL skills. |
| DevOps: Jenkins/GitHub Actions Docker Kubernetes. |
Automation Framework Development: Design develop and maintain modular extensible and scalable test automation testcases from scratch using Java or JavaScript. AI/ML Model Validation: Create validation strategies for AI-driven products LLM-integrated workflows and agents. Cloud Te...
| Automation Framework Development: Design develop and maintain modular |
| extensible and scalable test automation testcases from scratch using Java or |
| JavaScript. |
| AI/ML Model Validation: Create validation strategies for AI-driven products |
| LLM-integrated workflows and agents. |
| Cloud Testing & Infrastructure: Implement and execute automated tests in |
| cloud environments (AWS Azure or GCP). Use Docker and Kubernetes for |
| containerized testing environments. |
| CI/CD Integration: Embed automated test suites into CI/CD pipelines (Jenkins |
| GitHub Actions) to achieve continuous testing and rapid feedback. |
| API & Backend Testing: Design and execute RESTful API automation tests using |
| tools like Postman REST Assured. |
| Test Strategy & Planning: Participate in sprint planning and design reviews to |
| identify testing requirements and define scope strategy and test data |
| management. |
| Data Validation & Management: Perform data masking generation and |
| validation using SQL or NoSQL databases to support end-to-end testing. |
| Debugging & Analysis: Analyze test results using AI-powered tools or logs to |
| identify patterns root causes of failures and predict issues. |
| |
| Required Technical Skills: |
| Experience: 5 years in QA Automation Engineering. |
| Programming: Proficient in Java Python. |
| Automation Tools: Selenium WebDriver Playwright or Cypress. |
| Cloud Platforms: Practical expertise working with AWS and Azure. |
| AI/LLM Testing: Experience with model evaluation metrics RAG |
| (Retrieval-Augmented Generation) or prompt engineering validation. |
| API/Database: Strong API testing experience and SQL skills. |
| DevOps: Jenkins/GitHub Actions Docker Kubernetes. |
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