Quality Engineer is responsible to perform end-to-end testing across different pods using TD automation framework and Al platform.

•⁠ ⁠Lead test automation activities within and across pods

•⁠ ⁠Design, develop, debug and maintain complex automated test cases

•⁠ ⁠Own all release testing - integration, business acceptance, performance and deployment verification

•⁠ ⁠Apply risk-analysis methods and embed QE best practices at every prospect

•⁠ ⁠Drive in-sprint and SIT execution, status reporting and continuous improvement

•⁠ ⁠Coordinate and perform testing activities across different teams

Requirements

• Basic understanding of LLM and Gen Al concepts like RAG,Prompt Engineering, Context length etc.





•⁠ ⁠Good knowledge of QE process, testing lifecycle ULC and defect management process

•⁠ ⁠Strong Java / Python with in-sprint automation experience

•⁠ ⁠Experience building automation frameworks from scratch for Integration, Data testing, API testing (Selenium, Playwright, REST APIs

•⁠ ⁠Hands on experience with Jira, JTMF and Confluence

•⁠ ⁠Azure cloud architecture and services; SQL; familiarity with LLMS

•⁠ ⁠CI/CD pipelines using Jenkins

•⁠ ⁠Good to have: Ansible, Linux / UNIX, banking or TD experience

📌 TD AI - QE Automation Engineer (AI Platform) (Gurugram)
🏢 Important Company of the Sector
📍 Gurugram