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: Solid API testing experience and SQL skills.

DevOps: Jenkins/GitHub Actions, Docker, Kubernetes.

📌 Automation - SDET (Noida)
🏢 TalentOla
📍 Noida