Key Responsibilities :
Strong knowledge of cloud platforms (AWS, Azure, GCP) including deployment and management of applications
Familiarity with Generative AI concepts, specifically large language models (LLMs), and their application in real-world projects using ACCELQ
Hands-on experience with Deep Learning, LLM and Python
Define and implement the end-to-end test automation strategy using ACCELQ GenAI capabilities
Generate test assets using NLP from user stories and business requirements
Automate E2E workflows across web, API, and mobile platforms
Manage CI / CD-integrated autonomous testing (visual regression, self-healing)
Optimize test suites using AI-powered analytics
Collaborate with product, dev, and QA teams; mentor junior members
Integrate ACCELQ with Jira, Jenkins, GitHub, Slack
Experience Requirements :
1 3 years of software engineering experience in Python
1 3 years of experience with Django, Flask, or other Python frameworks
5+ years of experience in software QA and test automation
2+ years of experience with AI-powered test automation platforms
Skill Matrix (Mandatory)
Mandatory Skills Years of Experience Year Last Used Rating (Out of 10)
GenAI-Based Test Automation
ACCELQ
Python
End-to-End Test Automation
Cloud Platforms (AWS / Azure / GCP)
GenAI Test Automation Lead Insurance Domain • IL