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TD AI - QE Automation Engineer (AI Platform)

Job Description - TD AI - QE Automation Engineer (AI Platform)

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 opportunity
•⁠  ⁠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


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