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Tier-1 brand, popular fullstack title, and broad AI/cloud skill requirements increase competition.
Fullstack and AI skills are transferable, but contact-center and healthcare specifics increase domain specificity.
Multiple mandatory technical skills, AI/ML, cloud experience, and healthcare compliance raise filtering strictness.
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Lead design and development of internal tools, automation frameworks, and AI-enabled testing solutions for Amazon Connect and contact center ecosystem.
Develop and maintain front-end dashboards and back-end APIs, microservices, and data pipelines to support automated testing workflows.
Integrate AI/ML and LLM-based capabilities with cloud-native platforms (AWS/Azure) and CI/CD pipelines to optimize test coverage, defect detection, and quality insights.
Bachelor's degree in Computer Science or similar field.
Hands-on experience in full stack development including Python, Flask/FastAPI, front-end UI development, and cloud services (AWS or Azure).
Experience with AI/ML integration and practical use of LLMs or Generative AI for automation or quality solutions.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building scalable, reusable, and secure full stack solutions especially for automation and quality engineering.
Strong knowledge of cloud-native architecture, distributed systems, and event-driven design, preferably with AWS or Azure services.
Familiarity with contact center technologies (Amazon Connect, IVR, call routing, SIP/telephony flows, CRM integrations) is preferred but not mandatory.