- Basics of Generative AI, LLMs and Prompt Engineering
- Strong expertise in Python with hands-on experience using PyTest for automation development
- Knowledge of Pandas library and DataFrame manipulation
- Solid experience in automation testing tools such as Playwright (or) Selenium
- Robust knowledge of API testing using RESTful services and frameworks like JMeter or RestAssured
- Proficiency in core testing concepts, test planning, and execution in Agile environments
- Experience in developing automated functional, integration, and end-to-end tests
- Hands-on experience with SQL databases and data validation
- Working knowledge of CI/CD tools such as Jenkins, Bitbucket, Bamboo, Octopus, and Maven
- Good understanding of performance, load,
and stress testing methodologies
- Familiarity with AWS Cloud environments
- Strong communication, analytical, and documentation skills
- Experience mentoring and leading QA teams
Good to Have:
- Experience on GenAI, Agentic AI, RAG based applications.
- Familiarity with Application Monitoring and Site Reliability Engineering (SRE) concepts
- Exposure to security testing and resilience engineering
- Experience using Atlassian tools (Jira, Confluence)
- Understanding of version control and build processes
- Awareness of best practices in software engineering, automation, and operations