Responsibilities :

- Design, develop, execute, and automate comprehensive test plans, cases, and scripts for AI-driven and cloud-native products.

- Collaborate with Product Managers and Developers to validate system functionality, usability, and performance.

- Define and track quality metrics to ensure continuous improvement and timely delivery.

- Own the end-to-end quality lifecycle from test strategy and automation to defect triage and release sign-off.

- Leverage GenAI tools (e. g., ChatGPT, Claude, Copilot) to accelerate test design, automate testing tasks, and analyze defects efficiently.

- Use Langfuse for LLM tracing, output validation, and LLM-as-a-Judge scoring to assess accuracy, relevance, and consistency.

- Conduct API, integration, and system testing for distributed, cloud-based environments.

- Build and maintain automation frameworks using Python, Playwright, Selenium, and BDD methodologies.

- Identify quality risks, define mitigation strategies, and maintain measurable quality checkpoints.

- Champion a culture of accountability, precision, and quality-first mindset within the team.

Requirements :

- 5-8 years of QA automation and testing experience across complex applications.

- Proficiency in Python, Selenium, and BDD frameworks.

- Strong experience in API testing, cloud-based distributed systems, and test management systems.

- Familiarity with GenAI tools to enhance testing productivity and efficiency.

- Understanding of LLM evaluation techniques, prompt testing, and hallucination detection.

- Analytical mindset with strong debugging and problem-solving skills.

- Excellent communication and collaboration abilities.

- Self-starter who thrives in a fast-paced, innovative environment.