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Tier-1 employer and mid-senior title, but niche LLM+BDD automation lowers applicant density.
Core Python and automation skills transfer across industries, though regulated-science domain adds moderate bias.
Explicit 6–10 years and required BDD/LLM automation platform expertise make hiring filters strict.
Lead development and enhancement of a scalable Python-based QA automation framework using BDD and AI/ML technologies, including integration with Azure OpenAI and LangChain.
Architect and manage data pipelines for BDD step classification, automation object mapping, and ensure robust configuration and execution consistency across environments and CI/CD pipelines.
Mentor and manage automation engineers, drive automation strategy improvements, and own platform deployment, onboarding, and user enablement documentation.
6–10 years of experience in Python automation development.
Strong experience with Python, PyTest, PowerShell, Node.js, and BDD frameworks.
Experience integrating AI/ML services, specifically Azure OpenAI or similar LLMs, into automation solutions.
BTech degree in Computer Science, Electronics, or related technical field, or equivalent practical experience.
Experienced in building and scaling enterprise-grade QA automation platforms with emphasis on modular architecture, observability, and long-term stability.
Proven ability to lead and mentor a technical team, enforce best practices, and collaborate across QA, DevOps, and Product teams in regulated or scientific domains.
Hands-on familiarity with AI-assisted development tools (e.g., GitHub Copilot) and Agentic AI concepts to enhance automation productivity.