AI - QE Automation Engineer (AI Platform)
On-siteGurugram, Haryana, India
Job Summary
Lead test automation activities across pods by designing, developing, debugging, and maintaining complex automated test cases using the TD automation framework and AI platform. Own all release testing, including integration, business acceptance, performance, and deployment verification, while applying risk-analysis methods and embedding QE best practices. Drive in-sprint and SIT execution, manage status reporting, and coordinate testing activities across different teams. Maintain CI/CD pipelines using Jenkins and utilize Jira, JTMF, and Confluence for defect management. Requires strong Java/Python skills, Azure cloud architecture knowledge, and experience building frameworks for API and data testing. Join a deep-tech cybersecurity team focused on real-world malware analysis and next-gen security tooling.
Required Qualifications
- 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
Desired Qualifications
- Ansible
- Linux / UNIX
- banking or TD experience
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